Machine Learning Essentials For Everybody

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Machine Learning Essentials for Everybody

Daniel Vance
Machine Learning Essentials for Everybody Book PDF

Author : Daniel Vance
Publisher : AI Sciences LLC
Page : 134 pages
File Size : 51,9 Mb
Release : 2019-01-22
Category : Electronic
ISBN : 1733570624

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Machine Learning Essentials for Everybody by Daniel Vance Pdf

***** BUY NOW (will soon return to 21.97 $) *****Are you thinking of mastering machine learning fundamentals?If you are looking for a beginner book to master machine learning fundamentals, this book is for you.The book presents a theoretical overview of the underlying principles on which the entire machine learning stack is based. This includes sections about statistics, probability and machine learning.Regardless of the level of expertise of the reader, be it a beginner or a seasoned professional, there is lots of distilled knowledge available in these pages, which would give the reader a new perspective on what machine learning is all about. From AI Sciences PublishingOur books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations. Who Should Read This?This book presents the foundational principles guiding machine learning field. It also present many examples and illustrations. The following groups of people would benefit maximally from from this book: The reader who has heard about the impact data science is set to make across industries but isn't quite sure what skills are required to get a footing in the field. This set of readers can expect to profit from the clear explanations of basic concepts and build intuitions that enable them to transition on to more complex topics. The practitioner who has intermediate level skills in the related fields of statistics, mathematics, and computer science but wants to understand in what ways machine learning is a different discipline. This type of reader would understand the concepts presented in this book quickly as machine learning is an interdisciplinary field that sits at the intersection between many well established scientific fields. The practicing data scientist or experienced veteran would appreciate this book for providing a refresher on many common concepts and a whirlwind tour of what is currently obtainable in terms of best practices. The breadth of this book is such that this reader would have a reference manual of sorts for how to master main machine learning techniques. What's Inside This Book? Artificial intelligence, Machine learning and their applications Laying the Foundation What is Machine Learning? Why Machine Learning? The Math behind Machine Learning for Beginners: Linear Algebra and Statistics Probability, conditional Probability and Distributions Link between Statistics and machine learning Supervised Learning Unsupervised Learning Semi-supervised Learning Reinforcement Learning Summarizing the Dataset Data Visualization Linear Regression Logistic Regression Decision Tree and Forest Algorithm SVM (Support Vector Machines) Naïve Bayes Algorithm Clustering KNN (K-Nearest Neighbors) Neural Networks for beginner Frequently Asked QuestionsQ: Does this book include everything I need to become a machine learning expert?A: Unfortunately, no. This book is designed for readers taking their first steps in machine learning and further learning will be required beyond this book to master all aspects. Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform.***** MONEY BACK GUARANTEE BY AMAZON *****

Python Machine Learning Essentials

Bernard Baah
Python Machine Learning Essentials Book PDF

Author : Bernard Baah
Publisher : Independently Published
Page : 0 pages
File Size : 55,8 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9798884780767

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Python Machine Learning Essentials by Bernard Baah Pdf

"Python Machine Learning Essentials" by Bernard Baah is your ultimate guide to mastering machine learning concepts and techniques using Python. Whether you're a beginner or an experienced programmer, this book equips you with the knowledge and skills needed to understand and apply machine learning algorithms effectively. With a comprehensive approach, Bernard Baah takes you through the fundamentals of machine learning, covering Python basics, data preprocessing, exploratory data analysis, supervised and unsupervised learning, neural networks, natural language processing, model deployment, and more. Each chapter is filled with practical examples, code snippets, and hands-on exercises to reinforce your learning and deepen your understanding. As the founder of Filly Coder (https: //fillycoder.com), Bernard Baah brings years of experience in machine learning and software development to this book. His expertise and passion for teaching shine through, making complex concepts accessible and understandable for readers of all levels. Whether you're a data scientist, developer, or aspiring AI enthusiast, "Python Machine Learning Essentials" is your go-to resource for mastering machine learning with Python. Dive into the world of machine learning and unlock the potential to build intelligent applications with confidence. Get your copy of "Python Machine Learning Essentials" today and embark on your journey to becoming a proficient machine learning practitioner

Machine Learning for Beginners

Samuel Hack
Machine Learning for Beginners Book PDF

Author : Samuel Hack
Publisher : Unknown
Page : 220 pages
File Size : 53,9 Mb
Release : 2019-08-16
Category : Electronic
ISBN : 1686780478

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Machine Learning for Beginners by Samuel Hack Pdf

★★ Buy the Paperback Version of this Book and get the Kindle Book Version for FREE ★★ Do you need a better knowledge of the possibilities existing in the artificial intelligence available today? Do you want to know how big data will shape the future? Do you want to achieve a professional understanding of the most commonly used machine learning models? Machine learning is a branch of artificial intelligence and computer science that's becoming increasingly relevant in our modern world. It's a relatively new and progressive way of allowing a computer model to improve over time as it is introduced to more data. With the widespread availability of computers today, most machine learning techniques can be done at home. From the GPS on our phones to the future of self-driving cars, machine learning is becoming more relevant to our lives every day. Every time our email inbox sorts spam email there is a machine learning model involved. When we use voice recognition on our phone neural networks are sorting and analyzing our words. This book will give you the key terms and basic understanding of the fastest-growing field in computer science as well as: A breakdown of machine learning techniques and algorithms; why, and how they are used The tools you will need. Where to find data, what languages work best for machine learning, and what technology is available to help you Practical examples of machine learning being used in the modern world The basic statistics and mathematics necessary to understand and interpret data A jumping off point to begin diving into this fascinating technology Even if you aren't an expert in mathematics or computer programming, you will learn the basics of machine learning from this book. if you are ready to know how machine learning models work, check out now this guidebook to help you get started. Scroll Up and Click the "Buy now" button!

Mastering Machine Learning: Essential Concepts and Techniques

ASHTON SPENCER
Mastering Machine Learning Essential Concepts and Techniques Book PDF

Author : ASHTON SPENCER
Publisher : ASHTON SPENCER
Page : 245 pages
File Size : 48,7 Mb
Release : 101-01-01
Category : Computers
ISBN : 8210379456XXX

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Mastering Machine Learning: Essential Concepts and Techniques by ASHTON SPENCER Pdf

Benefits of the Program ✔ 100% Placement Support ✔ Globally Recognition Certification ✔ Learn from Industry Professionals ✔ Live Online Classes ✔ Work on 20+ projects We are dedicated to providing high-quality educational content that helps learners of all ages and backgrounds achieve their learning goals.

Machine Learning Made Easy: A Beginner's Guide for All

M.B. Chatfield
Machine Learning Made Easy A Beginner s Guide for All Book PDF

Author : M.B. Chatfield
Publisher : M.B. Chatfield
Page : 258 pages
File Size : 46,5 Mb
Release : 2024-06-30
Category : Computers
ISBN : 8210379456XXX

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Machine Learning Made Easy: A Beginner's Guide for All by M.B. Chatfield Pdf

Unleash the power of machine learning to automate tasks, make predictions, and solve complex problems. Machine learning is a powerful tool that can be used to automate tasks, make predictions, and solve complex problems. It is used in a wide variety of industries, including healthcare, finance, and manufacturing. Machine Learning Made Easy is the perfect resource for anyone who wants to learn the basics of machine learning. This comprehensive guide covers everything you need to know, from the basics of machine learning algorithms to advanced topics such as deep learning. Whether you're a student, a business professional, or a data enthusiast, Machine Learning Made Easy is the essential resource for learning about machine learning. Here are some of the key topics covered in the book: Introduction to machine learning Types of machine learning algorithms Choosing the right machine learning algorithm Training a machine learning model Evaluating a machine learning model Using machine learning to automate tasks Using machine learning to make predictions If you are a beginner who wants to learn about machine learning, Machine Learning Made Easy is a great place to start.

Machine Learning Essentials

Alboukadel Kassambara
Machine Learning Essentials Book PDF

Author : Alboukadel Kassambara
Publisher : STHDA
Page : 209 pages
File Size : 51,7 Mb
Release : 2018-03-10
Category : Electronic
ISBN : 9781986406857

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Machine Learning Essentials by Alboukadel Kassambara Pdf

Discovering knowledge from big multivariate data, recorded every days, requires specialized machine learning techniques. This book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring real word data sets, as well as, for building predictive models. The main parts of the book include: A) Unsupervised learning methods, to explore and discover knowledge from a large multivariate data set using clustering and principal component methods. You will learn hierarchical clustering, k-means, principal component analysis and correspondence analysis methods. B) Regression analysis, to predict a quantitative outcome value using linear regression and non-linear regression strategies. C) Classification techniques, to predict a qualitative outcome value using logistic regression, discriminant analysis, naive bayes classifier and support vector machines. D) Advanced machine learning methods, to build robust regression and classification models using k-nearest neighbors methods, decision tree models, ensemble methods (bagging, random forest and boosting). E) Model selection methods, to select automatically the best combination of predictor variables for building an optimal predictive model. These include, best subsets selection methods, stepwise regression and penalized regression (ridge, lasso and elastic net regression models). We also present principal component-based regression methods, which are useful when the data contain multiple correlated predictor variables. F) Model validation and evaluation techniques for measuring the performance of a predictive model. G) Model diagnostics for detecting and fixing a potential problems in a predictive model. The book presents the basic principles of these tasks and provide many examples in R. This book offers solid guidance in data mining for students and researchers. Key features: - Covers machine learning algorithm and implementation - Key mathematical concepts are presented - Short, self-contained chapters with practical examples.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 52,5 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Machine Learning And Artificial Intelligence

Chris Neil
Machine Learning And Artificial Intelligence Book PDF

Author : Chris Neil
Publisher : Alicex Limited
Page : 174 pages
File Size : 52,5 Mb
Release : 2020-12-27
Category : Electronic
ISBN : 1801915245

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Machine Learning And Artificial Intelligence by Chris Neil Pdf

**55% OFF FOR BOOKSTORES!! NOW AT $ 20.95 INSTEAD OF $ 30.95 ** Do you want to learn how ML and AI can be applied in practice and be compatible with human behavior in modern times? If yes, this book is for you! Machine learning (ML) is a data-driven approach. Hence it implies the availability of large datasets in order to make accurate decisions. In case only a limited dataset is available to solve a particular problem, it is best to use a deterministic approach. When a limited dataset is available it is hard to train a machine learning model and generalize its applicability to other similar problems. The developed model, in this case, is only applicable for the few data it was trained on. Because ML methods rely solely only on data and the human expertise or judgment is not taken in consideration, it is the data that dictate if the machine learning method will fail or succeed to perform the task it was designed for. The way a machine learning approach works is that a modeler develops a learning algorithm. Then the modeler feeds the learning algorithm with the data and information. Could Turning Important Decisions over to AI help Humanity? Some might say that's a terrible idea, but how much worse is it today where we've turned over our societies and civilizations to corrupt leadership, crony capitalism, or had to deal with rogue nation-states in other parts of the world with two-bit dictators, religious fanaticism, or the quest to destroy another group of peoples' civilization? Perhaps it's time we came up with a special think tank that could go through all the issues concerning our fears, and what we hope to expect from AI decision-making machines. That is to say how to get the best possible answer, all the time with the greatest probability. We all watched IBM's "Watson" supercomputer as it won against the top human Jeopardy players. It did pretty well, most all the time; didn't it? Yes, but it wasn't perfect, and perhaps that's the scary part. In fact, some of the mistakes that it did make were mistakes that even a child wouldn't have missed. Still, if there is a group of humans or a think tank, focus group, or Board of Directors constantly surveying the answers and asking additional questions, then perhaps you don't have to worry about an erroneous answer now and again. In fact, it might make you smile and feel good to be a human at that point. ML is useful anywhere you need to recognize patterns and predict behavior based on historical data. Recognizing patterns could mean anything from character recognition to predictive maintenance to recommending products to customers based on past purchases. This book gives a comprehensive guide on the following: Correlation Between ML and Artificial Learning The Era of Evolution ML and AI in Practice Self-Driving Cars Robots and How they will Change Our Lives ML, AI and IoT Ethics of AI AI and Privacy Is Artificial Intelligence Dangerous? Will Humans and Artificial Intelligence Live Together in the Future? ... AND MORE!!! ORDER YOUR COPIES NOW, YOUR CUSTOMERS WILL LOVE IT!

R Machine Learning Essentials

Michele Usuelli
R Machine Learning Essentials Book PDF

Author : Michele Usuelli
Publisher : Packt Publishing Ltd
Page : 307 pages
File Size : 55,8 Mb
Release : 2014-11-28
Category : Computers
ISBN : 9781783987757

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R Machine Learning Essentials by Michele Usuelli Pdf

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be helpful to have a bit of familiarity with basic object-oriented programming concepts, but no prior experience is required.

Essentials of Pattern Recognition

Jianxin Wu
Essentials of Pattern Recognition Book PDF

Author : Jianxin Wu
Publisher : Cambridge University Press
Page : 401 pages
File Size : 44,5 Mb
Release : 2020-11-19
Category : Computers
ISBN : 9781108483469

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Essentials of Pattern Recognition by Jianxin Wu Pdf

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.

Machine Learning with Python for Everyone

Mark Fenner
Machine Learning with Python for Everyone Book PDF

Author : Mark Fenner
Publisher : Addison-Wesley Professional
Page : 1375 pages
File Size : 45,8 Mb
Release : 2019-07-30
Category : Computers
ISBN : 9780134845647

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Machine Learning with Python for Everyone by Mark Fenner Pdf

The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you’ll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field’s most sophisticated and exciting techniques. Whether you’re a student, analyst, scientist, or hobbyist, this guide’s insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning concepts Classify examples with classifiers, and quantify examples with regressors Realistically assess performance of machine learning systems Use feature engineering to smooth rough data into useful forms Chain multiple components into one system and tune its performance Apply machine learning techniques to images and text Connect the core concepts to neural networks and graphical models Leverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

R Graphics Essentials for Great Data Visualization

Alboukadel Kassambara
R Graphics Essentials for Great Data Visualization Book PDF

Author : Alboukadel Kassambara
Publisher : STHDA
Page : 153 pages
File Size : 54,8 Mb
Release : 2017-11-14
Category : Computers
ISBN : 9781979748100

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R Graphics Essentials for Great Data Visualization by Alboukadel Kassambara Pdf

Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems. Next, we provide more than 200 practical examples to create great graphics for the right data using either the ggplot2 package and extensions or the traditional R graphics. With this book, you 'll learn: - How to quickly create beautiful graphics using ggplot2 packages - How to properly customize and annotate the plots - Type of graphics for visualizing categorical and continuous variables - How to add automatically p-values to box plots, bar plots and alternatives - How to add marginal density plots and correlation coefficients to scatter plots - Key methods for analyzing and visualizing multivariate data - R functions and packages for plotting time series data - How to combine multiple plots on one page to create production-quality figures.

Formal Methods – Fun for Everybody

Antonio Cerone,Markus Roggenbach
Formal Methods Fun for Everybody Book PDF

Author : Antonio Cerone,Markus Roggenbach
Publisher : Springer Nature
Page : 227 pages
File Size : 40,5 Mb
Release : 2021-03-10
Category : Education
ISBN : 9783030713744

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Formal Methods – Fun for Everybody by Antonio Cerone,Markus Roggenbach Pdf

This volume constitutes the post-workshop proceedings of the First International Workshop on Formal Methods – Fun for Everybody, FMFun 2019, held in Bergen, Norway, in December 2019. The 7 revised full papers and 2 revised short papers presented in this volume were carefully reviewed and selected from 15 submissions. A white paper and two keynote papers are also included. The papers explore ways of utilizing the pathway to transforming and spreading formal methods. The vision of this workshop series is that formal methods ought to be taught in such a way that every student can have fun with it.

AI and Machine Learning for On-Device Development

Laurence Moroney
AI and Machine Learning for On Device Development Book PDF

Author : Laurence Moroney
Publisher : "O'Reilly Media, Inc."
Page : 328 pages
File Size : 54,6 Mb
Release : 2021-08-12
Category : Computers
ISBN : 9781098101701

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AI and Machine Learning for On-Device Development by Laurence Moroney Pdf

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today. Explore the options for implementing ML and AI on mobile devices Create ML models for iOS and Android Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs Learn privacy and ethics best practices for ML on devices

Deep Learning: an Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence

Herbert Jones
Deep Learning an Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence Book PDF

Author : Herbert Jones
Publisher : Createspace Independent Publishing Platform
Page : 100 pages
File Size : 44,7 Mb
Release : 2018-10-03
Category : Electronic
ISBN : 172773047X

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Deep Learning: an Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence by Herbert Jones Pdf

If you want to learn about Deep Learning then keep reading... It's said that filling the observable universe with an infinite number of monkeys on infinite typewriters and letting them type for an infinite amount of time would eventually produce Shakespeare's works. However, what would happen if we applied the infinite monkey theorem to computer programs capable of learning and evolution? Would a thousand such smart machines thrown together and allowed to evolve undisturbed produce a human mind or something much greater? Well, scientists decided to give it a go and see what happened. That line of reasoning, alongside the fact we've nearly exhausted all the possible progress of the scientific method, motivated the creation of deep learning, a process in which computer programs meant to learn and adapt to the environment evolve on their own without any human intervention or even knowledge how their evolution occurs. Such software could eventually develop a will of its own and escape containment or even be intentionally unleashed on the planet as a cyber-weapon. This book analyzes the validity of such seemingly preposterous possibilities while compiling and investigating academic research concerning deep learning and its practical applications, referencing, and quick summarizing of numerous academic writings that need to be meticulously picked apart by the curious reader - who can then truly understand what lies ahead of us all in a future dominated by smart machines. If that same reader finds themselves starting up exhaustive conversations with complete strangers on deep learning, this book has done its job superbly. Deep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to Machine Learning and Artificial Intelligence cover topics such as: Improving the Scientific Method How It All Started Appeasing the Rebellious Spirits Quantum Approach To Science The Replication Crisis Evolving the Machine Brain The Future of Deep Learning Medicine with the Help of a Digital Genie And Much, Much More So if you want to learn about Deep Learning without having to go through heavy textbooks, click "add to cart"!