Advanced Machine Learning Using Python Programming

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Advanced Machine Learning with Python

John Hearty
Advanced Machine Learning with Python Book PDF

Author : John Hearty
Publisher : Packt Publishing Ltd
Page : 278 pages
File Size : 50,7 Mb
Release : 2016-07-28
Category : Computers
ISBN : 9781784393830

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Advanced Machine Learning with Python by John Hearty Pdf

Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book Resolve complex machine learning problems and explore deep learning Learn to use Python code for implementing a range of machine learning algorithms and techniques A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Apply your new found skills to solve real problems, through clearly-explained code for every technique and test Automate large sets of complex data and overcome time-consuming practical challenges Improve the accuracy of models and your existing input data using powerful feature engineering techniques Use multiple learning techniques together to improve the consistency of results Understand the hidden structure of datasets using a range of unsupervised techniques Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance.

Advanced Machine Learning using Python Programming

SOHARA BANU A R,SYED MUZAMIL BASHA,SYED THOUHEED AHMED
Advanced Machine Learning using Python Programming Book PDF

Author : SOHARA BANU A R,SYED MUZAMIL BASHA,SYED THOUHEED AHMED
Publisher : MileStone Research Publications
Page : 101 pages
File Size : 43,6 Mb
Release : 2023-07-13
Category : Computers
ISBN : 9789359149783

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Advanced Machine Learning using Python Programming by SOHARA BANU A R,SYED MUZAMIL BASHA,SYED THOUHEED AHMED Pdf

THE AUTHOR(S) AND PUBLISHER OF THIS BOOK HAVE USED THEIR BEST EFFORTS IN PREPARING THIS BOOK. THESE EFFORTS INCLUDE THE DEVELOPMENT, RESEARCH ANDTESTING OF THE THEORIES AND PROGRAMS TO DETERMINE THEIR EFFECTIVENESS. THE AUTHORS AND PUBLISHER MAKES NO WARRANTY OF ANY KIND, EXPRESSED OR IMPLIEDWITH REGARD TO THESE PROGRAMS OR THE DOCUMENTATION CONTAINED IN THIS BOOK. THE AUTHORS AND PUBLISHER SHALL NOT BE LIABLE IN ANY EVENT FORINCIDENTAL OR CONSEQUENTIAL DAMAGES IN CONNECTION WITH, OR ARISING OUT OF, THE FURNISHING, PERFORMANCE, OR USE OF THESE PROGRAMS. COPYRIGHTS © 2023 BY MILESTONE RESEARCH PUBLICATIONS, INC. THIS EDITION IS PUBLISHED BY ARRANGEMENT WITH MILESTONE RESEARCH FOUNDATION, INC. THIS BOOK IS SOLD SUBJECT TO THE CONDITION THAT IT SHALL NOT, BY WAY OF TRADE OR OTHERWISE, BE LENT, RESOLD, HIRED OUT, OR OTHERWISE CIRCULATED WITHOUTTHE PUBLISHER'S PRIOR WRITTEN CONSENT IN ANY FORM OF BINDING OR COVER OTHER THAN THAT IN WHICH IT IS PUBLISHED AND WITHOUT A SIMILAR CONDITIONINCLUDING THIS CONDITION BEING IMPOSED ON THE SUBSEQUENT PURCHASER AND WITHOUT LIMITING THE RIGHTS UNDER COPYRIGHT RESERVED ABOVE, NO PART OF THISPUBLICATION MAY BE REPRODUCED, STORED IN OR INTRODUCED INTO RETRIEVAL SYSTEM, OR TRANSMITTED IN ANY FORM OR BY ANY MEANS (ELECTRONIC, MECHANICAL,PHOTOCOPYING, RECORDING AND OTHERWISE) WITHOUT THE PRIOR WRITTEN PERMISSION OF BOTH THE COPYRIGHT OWNER AND THE ABOVE MENTIONED PUBLISHER OFTHIS BOOK.

Advanced Deep Learning with Python

Ivan Vasilev
Advanced Deep Learning with Python Book PDF

Author : Ivan Vasilev
Publisher : Packt Publishing Ltd
Page : 456 pages
File Size : 43,8 Mb
Release : 2019-12-12
Category : Computers
ISBN : 9781789952711

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Advanced Deep Learning with Python by Ivan Vasilev Pdf

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key FeaturesGet to grips with building faster and more robust deep learning architecturesInvestigate and train convolutional neural network (CNN) models with GPU-accelerated libraries such as TensorFlow and PyTorchApply deep neural networks (DNNs) to computer vision problems, NLP, and GANsBook Description In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles. By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world. What you will learnCover advanced and state-of-the-art neural network architecturesUnderstand the theory and math behind neural networksTrain DNNs and apply them to modern deep learning problemsUse CNNs for object detection and image segmentationImplement generative adversarial networks (GANs) and variational autoencoders to generate new imagesSolve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence modelsUnderstand DL techniques, such as meta-learning and graph neural networksWho this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.

Machine Learning with Python

Russel R Russo
Machine Learning with Python Book PDF

Author : Russel R Russo
Publisher : Unknown
Page : 0 pages
File Size : 42,9 Mb
Release : 2020-10-30
Category : Electronic
ISBN : 1801118590

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Machine Learning with Python by Russel R Russo Pdf

Are you fascinated by Machine Learning but it seems too complicated?Do you have some coding skills but you want to go deeper in Python and Machine Learning? If this is you, please keep reading: you are in the right place, looking at the right book. Since you are reading this you are probably aware of how important Artificial Intelligence is in these days. In your everyday life Artificial Intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how Machine Learning is having an impact on our lives. Everyone knows (well, almost everyone) how important Machine Learning is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics. Also, it is quite commonly known that Artificial Intelligence, Machine Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business. And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?" Well, if you kept reading so far you are on the right track to answer your question. In Machine Learning with Python you will find: Why python is the best language for Machine Learning How to bring your ideas into a computer The smartest way to approach Machine Learning How to deal with variables and data Tips and tricks for a smooth and painless journey into artificial intelligence The most common myths about Machine Learning debunked So, whether you decided to start now or to go deeper into Artificial Intelligence, Machine Learning and Python Programming, you will only have two unanswered questions right now: "what is the best way to do it? And when is the best time to start?" An easy, clear and complete guide as Machine Learning with Python is the answer to your first question, and about the second one, well, that's an easy one: the best time is NOW! Buy Machine Learning with Python now and start mastering the secrets of Artificial Intelligence.

PYTHON PROGRAMMING

Clive Campbell
PYTHON PROGRAMMING Book PDF

Author : Clive Campbell
Publisher : Unknown
Page : 244 pages
File Size : 42,7 Mb
Release : 2020-12-23
Category : Computers
ISBN : 1801547661

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PYTHON PROGRAMMING by Clive Campbell Pdf

You Are About To Discover Why Python Is The Preferred Programming Language In Computer Science, Big Data, Machine Learning, Artificial Intelligence And Other Advanced Computing Stuff, Including How To Actually Use Python In These Fields Of Computing! Python is the primary programming language for advanced computing concepts ranging from machine learning, big data, data analytics, artificial intelligence and many others. And with these concepts slowly becoming mainstream, it makes sense that you have an above average understanding of how to use python to take advantage of such concepts like automation, robotics, data analytics, data science, machine learning and others. So where do you start? What exactly do you need to learn? What's the place of python in big data, artificial intelligence, data science, machine learning, analytics etc.? How do you bring out your A game as a python professional in each of these concepts? If you have these and other related questions, this book is specially written for you, covering everything from basic to advanced stuff that will give you an above average understanding of using python for advanced computing. More precisely, the book covers: Why python is the most preferred programming language for advanced computing stuff like data analysis, big data, deep learning, machine learning, artificial intelligence and more How to handle object-oriented programming and why it is the best kind to handle data analysis. How to perform data analysis, step by step How all the advanced computing concepts like machine learning, deep learning, artificial intelligence and others relate and how python is at the center of it all The best python libraries to use for advanced computing, including sample codes you can write with these libraries How to handle different machine learning algorithms by leveraging the power of python to analyze any data you want Powerful tips and tricks that you can use to handle any problems in code, as they come And MUCH MORE! Indeed; python is powerful, scalable, easy to use and much more, which are important ingredients for unleashing the full capabilities of advanced computing concepts like machine learning, deep learning, artificial intelligence, data science, data analytics and much more. And with the help of this hands on, practical and easy to follow guide to using python for advanced computing, you can rest assured that you will start seeing the fruits of your labor soon! Whether you want to learn python for advanced computing to give your business a competitive edge or want to learn python for advanced computing to add a new skill and possibly climb up the corporate ladder, this book has easy to follow steps to help you throughout the process. Don't wait...Click Buy Now With 1-Click or Buy Now to get started!

Python: Advanced Guide to Artificial Intelligence

Giuseppe Bonaccorso,Armando Fandango,Rajalingappaa Shanmugamani
Python Advanced Guide to Artificial Intelligence Book PDF

Author : Giuseppe Bonaccorso,Armando Fandango,Rajalingappaa Shanmugamani
Publisher : Packt Publishing Ltd
Page : 748 pages
File Size : 55,8 Mb
Release : 2018-12-21
Category : Computers
ISBN : 9781789951721

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Python: Advanced Guide to Artificial Intelligence by Giuseppe Bonaccorso,Armando Fandango,Rajalingappaa Shanmugamani Pdf

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.

Hands-On Deep Learning Algorithms with Python

Sudharsan Ravichandiran
Hands On Deep Learning Algorithms with Python Book PDF

Author : Sudharsan Ravichandiran
Publisher : Packt Publishing Ltd
Page : 498 pages
File Size : 46,7 Mb
Release : 2019-07-25
Category : Computers
ISBN : 9781789344516

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Hands-On Deep Learning Algorithms with Python by Sudharsan Ravichandiran Pdf

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key FeaturesGet up-to-speed with building your own neural networks from scratch Gain insights into the mathematical principles behind deep learning algorithmsImplement popular deep learning algorithms such as CNNs, RNNs, and more using TensorFlowBook Description Deep learning is one of the most popular domains in the AI space, allowing you to develop multi-layered models of varying complexities. This book introduces you to popular deep learning algorithms—from basic to advanced—and shows you how to implement them from scratch using TensorFlow. Throughout the book, you will gain insights into each algorithm, the mathematical principles behind it, and how to implement it in the best possible manner. The book starts by explaining how you can build your own neural networks, followed by introducing you to TensorFlow, the powerful Python-based library for machine learning and deep learning. Moving on, you will get up to speed with gradient descent variants, such as NAG, AMSGrad, AdaDelta, Adam, and Nadam. The book will then provide you with insights into RNNs and LSTM and how to generate song lyrics with RNN. Next, you will master the math for convolutional and capsule networks, widely used for image recognition tasks. Then you learn how machines understand the semantics of words and documents using CBOW, skip-gram, and PV-DM. Afterward, you will explore various GANs, including InfoGAN and LSGAN, and autoencoders, such as contractive autoencoders and VAE. By the end of this book, you will be equipped with all the skills you need to implement deep learning in your own projects. What you will learnImplement basic-to-advanced deep learning algorithmsMaster the mathematics behind deep learning algorithmsBecome familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and NadamImplement recurrent networks, such as RNN, LSTM, GRU, and seq2seq modelsUnderstand how machines interpret images using CNN and capsule networksImplement different types of generative adversarial network, such as CGAN, CycleGAN, and StackGANExplore various types of autoencoder, such as Sparse autoencoders, DAE, CAE, and VAEWho this book is for If you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming, will also find the book very helpful.

Python Programming

Coding Academy
Python Programming Book PDF

Author : Coding Academy
Publisher : Unknown
Page : 126 pages
File Size : 48,8 Mb
Release : 2020-03-20
Category : Electronic
ISBN : 9798628738160

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Python Programming by Coding Academy Pdf

Are you interested in learning more about your industry and your competition?Would you like to reduce the level and amount of risk you undertake, while still increasing your profits? Have you had an interest in data science, but you aren't quite sure how to work with it? Then this is the guidebook for you! In this guidebook, we are going to explore how we are able to use Python programming to help us handle our own data analysis. With the help of artificial intelligence, machine learning, and deep learning, we will be able to take the simplicity of our Python coding and use it to create strong models and algorithms that will handle all of our data analysis in one place This book is going to go into depth about the coding and the different processes that you can use when it comes to Python and machine learning for your data analysis needs. Some of the different topics that will be discussed include: The importance of the Python language and why so many programmers enjoy using this for their data analysis. How to handle object-oriented programming and why it is the best kind to handle data analysis. A look at some of the steps that come with our data analysis. A look at artificial intelligence, machine learning, and deep learning and how these can come together, with the help of Python, to get some amazing results. The Pandas library and some of the neat codes you can write with it. How to handle some of the different machine learning algorithms, with the help of Python, to analyze any data you want. Tips and tricks to handle any problems that come up with your code to ensure you can keep working towards your goals. Python programming is one of the best options that you can use when it is time to handle data analysis and even machine learning. These go together so well, and with a bit of practice and learning how to use these algorithms, it is easier than ever for you to step up and write your own codes as well. If you are ready to learn about Python programming and what it can do for your business, along with data science and machine learning, make sure to check out this book to get started. Grab a copy and start this fantastic journey of learning today!

Machine Learning with TensorFlow, Second Edition

Mattmann A. Chris
Machine Learning with TensorFlow Second Edition Book PDF

Author : Mattmann A. Chris
Publisher : Manning Publications
Page : 454 pages
File Size : 54,6 Mb
Release : 2021-02-02
Category : Computers
ISBN : 9781617297717

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Machine Learning with TensorFlow, Second Edition by Mattmann A. Chris Pdf

Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Supercharge your data analysis with machine learning! ML algorithms automatically improve as they process data, so results get better over time. You don’t have to be a mathematician to use ML: Tools like Google’s TensorFlow library help with complex calculations so you can focus on getting the answers you need. About the book Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You’ll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10. What's inside Machine Learning with TensorFlow Choosing the best ML approaches Visualizing algorithms with TensorBoard Sharing results with collaborators Running models in Docker About the reader Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x. About the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Table of Contents PART 1 - YOUR MACHINE-LEARNING RIG 1 A machine-learning odyssey 2 TensorFlow essentials PART 2 - CORE LEARNING ALGORITHMS 3 Linear regression and beyond 4 Using regression for call-center volume prediction 5 A gentle introduction to classification 6 Sentiment classification: Large movie-review dataset 7 Automatically clustering data 8 Inferring user activity from Android accelerometer data 9 Hidden Markov models 10 Part-of-speech tagging and word-sense disambiguation PART 3 - THE NEURAL NETWORK PARADIGM 11 A peek into autoencoders 12 Applying autoencoders: The CIFAR-10 image dataset 13 Reinforcement learning 14 Convolutional neural networks 15 Building a real-world CNN: VGG-Face ad VGG-Face Lite 16 Recurrent neural networks 17 LSTMs and automatic speech recognition 18 Sequence-to-sequence models for chatbots 19 Utility landscape

Advanced Mastering Learning with Python

John Hearty
Advanced Mastering Learning with Python Book PDF

Author : John Hearty
Publisher : Packt Publishing
Page : 278 pages
File Size : 46,7 Mb
Release : 2016-07-28
Category : Computers
ISBN : 1784398632

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Advanced Mastering Learning with Python by John Hearty Pdf

Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book Resolve complex machine learning problems and explore deep learning Learn to use Python code for implementing a range of machine learning algorithms and techniques A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Apply your new found skills to solve real problems, through clearly-explained code for every technique and test Automate large sets of complex data and overcome time-consuming practical challenges Improve the accuracy of models and your existing input data using powerful feature engineering techniques Use multiple learning techniques together to improve the consistency of results Understand the hidden structure of datasets using a range of unsupervised techniques Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance."

Python Programming

Coding Academy
Python Programming Book PDF

Author : Coding Academy
Publisher : Unknown
Page : 126 pages
File Size : 54,8 Mb
Release : 2020-03-09
Category : Electronic
ISBN : 9798623096333

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Python Programming by Coding Academy Pdf

Are you interested in learning more about your industry and your competition?Would you like to reduce the level and amount of risk you undertake, while still increasing your profits? Have you had an interest in data science, but you aren't quite sure how to work with it? Then this is the guidebook for you! In this guidebook, we are going to explore how we are able to use Python programming to help us handle our own data analysis. With the help of artificial intelligence, machine learning, and deep learning, we will be able to take the simplicity of our Python coding and use it to create strong models and algorithms that will handle all of our data analysis in one place This book is going to go into depth about the coding and the different processes that you can use when it comes to Python and machine learning for your data analysis needs. Some of the different topics that will be discussed include: The importance of the Python language and why so many programmers enjoy using this for their data analysis. How to handle object-oriented programming and why it is the best kind to handle data analysis. A look at some of the steps that come with our data analysis. A look at artificial intelligence, machine learning, and deep learning and how these can come together, with the help of Python, to get some amazing results. The Pandas library and some of the neat codes you can write with it. How to handle some of the different machine learning algorithms, with the help of Python, to analyze any data you want. Tips and tricks to handle any problems that come up with your code to ensure you can keep working towards your goals. Python programming is one of the best options that you can use when it is time to handle data analysis and even machine learning. These go together so well, and with a bit of practice and learning how to use these algorithms, it is easier than ever for you to step up and write your own codes as well. If you are ready to learn about Python programming and what it can do for your business, along with data science and machine learning, make sure to check out this book to get started. Grab a copy and start this fantastic journey of learning today!

Python: Real World Machine Learning

Prateek Joshi,John Hearty,Bastiaan Sjardin,Luca Massaron,Alberto Boschetti
Python Real World Machine Learning Book PDF

Author : Prateek Joshi,John Hearty,Bastiaan Sjardin,Luca Massaron,Alberto Boschetti
Publisher : Packt Publishing Ltd
Page : 941 pages
File Size : 51,9 Mb
Release : 2016-11-14
Category : Computers
ISBN : 9781787120679

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Python: Real World Machine Learning by Prateek Joshi,John Hearty,Bastiaan Sjardin,Luca Massaron,Alberto Boschetti Pdf

Learn to solve challenging data science problems by building powerful machine learning models using Python About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide This practical tutorial tackles real-world computing problems through a rigorous and effective approach Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This Learning Path is for Python programmers who are looking to use machine learning algorithms to create real-world applications. It is ideal for Python professionals who want to work with large and complex datasets and Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. Experience with Python, Jupyter Notebooks, and command-line execution together with a good level of mathematical knowledge to understand the concepts is expected. Machine learning basic knowledge is also expected. What You Will Learn Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Apply your new-found skills to solve real problems, through clearly-explained code for every technique and test Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms Increase predictive accuracy with deep learning and scalable data-handling techniques Work with modern state-of-the-art large-scale machine learning techniques Learn to use Python code to implement a range of machine learning algorithms and techniques In Detail Machine learning is increasingly spreading in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. Machine learning is transforming the way we understand and interact with the world around us. In the first module, Python Machine Learning Cookbook, you will learn how to perform various machine learning tasks using a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. The second module, Advanced Machine Learning with Python, is designed to take you on a guided tour of the most relevant and powerful machine learning techniques and you'll acquire a broad set of powerful skills in the area of feature selection and feature engineering. The third module in this learning path, Large Scale Machine Learning with Python, dives into scalable machine learning and the three forms of scalability. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. This Learning Path will teach you Python machine learning for the real world. The machine learning techniques covered in this Learning Path are at the forefront of commercial practice. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Python Machine Learning Cookbook by Prateek Joshi Advanced Machine Learning with Python by John Hearty Large Scale Machine Learning with Python by Bastiaan Sjardin, Alberto Boschetti, Luca Massaron Style and approach This course is a smooth learning path that will teach you how to get started with Python machine learning for the real world, and develop solutions to real-world problems. Through this comprehensive course, you'll learn to create the most effective machine learning techniques from scratch and more!

Advanced Python Programming

Hacktech Academy
Advanced Python Programming Book PDF

Author : Hacktech Academy
Publisher : Unknown
Page : 112 pages
File Size : 49,8 Mb
Release : 2021-03-16
Category : Electronic
ISBN : 1802350349

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Advanced Python Programming by Hacktech Academy Pdf

⭐️ 55% OFF for Bookstores! NOW at $ 24.95 instead of $ 38.70 ⭐️ Do you want to Master Python Programming? Then You Are 1-Click Away to make your customers Learning Why Python Is The Preferred Programming Language In Computer Science, Big Data, Machine Learning, Artificial Intelligence And Other Advanced Computing Stuff, Including How To Actually Use Python In These Fields Of Computing! Python is the primary programming language for advanced computing concepts ranging from machine learning, big data, data analytics, artificial intelligence and many others. What exactly do you need to learn? What's the place of python in big data, artificial intelligence, data science, machine learning, analytics etc.? If you have these and other related questions, this book is specially written for you, covering everything from basic to advanced stuff that will give you an above average understanding of using python for advanced computing. More precisely, the book covers: Why python is the most preferred programming language for advanced computing stuff like data analysis, big data, deep learning, machine learning, artificial intelligence and more How to handle object-oriented programming and why it is the best kind to handle data analysis. How all the advanced computing concepts like machine learning, deep learning, artificial intelligence and others relate and how python is at the center of it all How to handle different machine learning algorithms by leveraging the power of python to analyze any data you want Powerful tips and tricks that you can use to handle any problems in code, as they come Your Customers will never stop to use this book. Indeed; python is powerful, scalable, easy to use and much more, which are important ingredients for unleashing the full capabilities of advanced computing concepts like machine learning, deep learning, artificial intelligence, data science, data analytics and much more. Whether you want to learn python for advanced computing to give your business a competitive edge or want to learn python for advanced computing to add a new skill and possibly climb up the corporate ladder, this book has easy to follow steps to help you throughout the process. Buy it NOW If you Want To Make Your Customer Master in Python Programming Don't wait!

Advanced Deep Learning for Engineers and Scientists

Kolla Bhanu Prakash,Ramani Kannan,S.Albert Alexander,G. R. Kanagachidambaresan
Advanced Deep Learning for Engineers and Scientists Book PDF

Author : Kolla Bhanu Prakash,Ramani Kannan,S.Albert Alexander,G. R. Kanagachidambaresan
Publisher : Springer Nature
Page : 294 pages
File Size : 40,7 Mb
Release : 2021-07-24
Category : Technology & Engineering
ISBN : 9783030665197

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Advanced Deep Learning for Engineers and Scientists by Kolla Bhanu Prakash,Ramani Kannan,S.Albert Alexander,G. R. Kanagachidambaresan Pdf

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.

Python Programming For Advanced

Bill Steven
Python Programming For Advanced Book PDF

Author : Bill Steven
Publisher : Unknown
Page : 126 pages
File Size : 49,9 Mb
Release : 2020-04-29
Category : Electronic
ISBN : 9798641687834

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Python Programming For Advanced by Bill Steven Pdf

Are you looking for a complete guide on python? Then keep reading... Python is a programming language that has several features that makes it very attractive to programmers and developers. First of all, Python is a free programming language which means it is available for anybody. Python is also an open-source language which means you can contribute to the source code if you wish. In fact, Python is a language that is supported by a community that gathers its effort through the internet to improve this language. Python is a language that belongs to the category of high-level languages. This implies that Python does not require compiling like other languages such as C or C++, Fortran, and so on. It implies also that the syntax of Python is very easy to use and learn. These features make Python programs to be easily developed, interpreted, and maintained at low cost. Therefore, it allows sharing and collaborating to develop applications based on Python very efficient. Being an easy syntax and high-level programming language does not mean that Python is a very slow programming language. In fact, Python is considered a very competitive and productive language. When compared to other programming languages that are low-level and known to be fast, a Python script can be 3rd or 5th size of a similar script developed with C++ or Java. In addition to requiring less typing and debugging, Python does not require compiling. Once a Python script is developed, it can be run directly without additional steps of compiling or linking to other tools or libraries. In this book You will be able to learn about: Getting Started with Phyton Machine Learning with Phyton Types of Learning Machine Data Analysis with Machine Learning Data Science and How It Fits in Machine Learning Data science Algorithms and Models Data Analysis with Phyton How machine learning works for data science Use Phyton in Machine Learning Functions in Python Tips and Tricks for an Expert Phyton Programming Performed Python programming exercises on functions, strings, lists and mathematical calculations and much more! Python comes with a default library called the standard library which includes a set of modules like the math module for mathematical and numerical programming. Moreover, Python supports using other libraries developed by third parties. There is a wide range of third parties' packages that are available online and allows using advanced tools for a specific domain (e.g. Numpy library for Numerical programming with Python, Pandas, Matplotlib for developing figures and so on). Hence, when coding with Python language, you have access to a wide set of tools and pre-coded and built-in objects that can be easily used. You never start from scratch because there is a high chance that the function you want to use was already coded and made available for use by anybody. Python can be considered as a hybrid language in the context that it allows integrating and to be integrated with other programming languages. For instance, you can use pre-coded or compiled libraries that are written in C or C++ within Python. You can also call Python codes from scripts that are written in C or C++. Are you curious about Phyton Programming? Start learning now by clicking the "Buy Now" button.