Machine Learning For Kids

Author : Dale Lane
Publisher : No Starch Press
Page : 290 pages
File Size : 45,6 Mb
Release : 2021-01-19
Category : Computers
ISBN : 9781718500570

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Machine Learning for Kids by Dale Lane Pdf

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+

Author : Dr Dhoot
Publisher : Unknown
Page : 26 pages
File Size : 47,5 Mb
Release : 2019-02-08
Category : Electronic
ISBN : 1732508003

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Machine Learning for Babies & Toddlers (Tinker Toddlers) by Dr Dhoot Pdf

Simple concepts about up-and-coming science and technology to kick-start your future genius! Machine Learning for Babies & Toddlers is a great way to introduce basic concepts about machine learning, an exploding field that will be like electricity to our future generation. Familiarize your little one with what machines are and they can learn, just like us! The colorful, beautiful, and visually stimulating illustrations encourage the child's sense of wonder and curiosity (and might stimulate your senses too)! Levels of learning: Level 1 baby basics in black text and Level 2 in purple text for toddlers to build on. Look for other books by Tinker Toddlers(TM) Artificial Intelligence for Babies & Toddlers and Solar System for Babies & Toddlers

Author : Dale Lane
Publisher : No Starch Press
Page : 290 pages
File Size : 50,6 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9781718500563

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Machine Learning for Kids by Dale Lane Pdf

A hands-on, application-based introduction to machine learning and artificial intelligence (AI). Create compelling AI-powered games and applications using the Scratch programming language. AI Made Easy with 13 Projects Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based companion website, you’ll see how easy it is to add machine learning to your own projects. You don’t even need to know how to code! Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them. You’ll turn your models into 13 fun computer games and apps, including: A Rock, Paper, Scissors game that recognizes your hand shapes A computer character that reacts to insults and compliments An interactive virtual assistant (like Siri or Alexa) A movie recommendation app An AI version of Pac-Man There’s no experience required and step-by-step instructions make sure that anyone can follow along! No Experience Necessary! Ages 12+

Author : John Paul Mueller,Luca Massaron
Publisher : John Wiley & Sons
Page : 471 pages
File Size : 55,6 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9781119724018

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Machine Learning For Dummies by John Paul Mueller,Luca Massaron Pdf

One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

Author : Chris Ferrie,Sarah Kaiser
Publisher : Sourcebooks, Inc.
Page : 26 pages
File Size : 50,5 Mb
Release : 2019-03-01
Category : Juvenile Nonfiction
ISBN : 9781492673828

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Neural Networks for Babies by Chris Ferrie,Sarah Kaiser Pdf

Fans of Chris Ferrie's ABCs of Economics, ABCs of Space, and Organic Chemistry for Babies will love this introduction to neural networks for babies and toddlers! Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child's mind. Neural Networks for Babies by Chris Ferrie is a colorfully simple introduction to the study of how machines and computing systems are created in a way that was inspired by the biological neural networks in animal and human brains. With scientific and mathematical information from an expert, this installment of the Baby University board book series is the perfect book for enlightening the next generation of geniuses. After all, it's never too early to become a scientist! If you're looking for programming for babies, coding for babies, or more Baby University board books to surprise your little one, look no further! Neural Networks for Babies offers fun early learning for your little scientist!

Author : Rocket Baby Club
Publisher : Rocket Baby Club
Page : 36 pages
File Size : 42,9 Mb
Release : 2019-01-21
Category : Juvenile Nonfiction
ISBN : 1645164306

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Eric Is Thirsty: Machine Learning for Kids: Gradient Descent by Rocket Baby Club Pdf

Eric the ladybug is an artist and traveler. He went to a mountain to watch the sunset and drew a painting of it. The next day when he woke up, he feels so thirsty and needs to find some water to drink. Will he be able to find the lowest point near him in order to find a water source? After an adventure with Eric the thirsty ladybug, you will know the most important intuition in machine learning, gradient descent.

Author : Peter Van den Ende
Publisher : Levine Querido
Page : 96 pages
File Size : 52,5 Mb
Release : 2020-10-06
Category : Electronic
ISBN : 9781646140695

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The Wanderer by Peter Van den Ende Pdf

Society of Illustrators, Dilys Evans Founder's Award Winner A New York Times Best Book of 2020 A Wall Street Journal Best Book of 2020 PRAISE "Electrifying. Extraordinary. Enigmatic and gorgeous." —The Wall Street Journal "An epic dream captured in superbly meticulous detail." —Shaun Tan "Danger, magic, surprise and awe abound in this masterly, wordless debut." —The New York Times "I love Van den Ende's passion." —Brian Selznick, New York Times Book Review STARRED REVIEWS ★ "Marvelously engrossing—a triumph." —Kirkus Reviews, starred review ★ "Remarkable. Absolutely sui generis." —Booklist, starred review Without a word, The Wanderer presents one little paper boat's journey across the ocean, past reefs and between icebergs, through schools of fish, swaying water plants, and terrifying sea monsters. The little boat is all alone, and while its aloneness gives it the chance to wonder at the fairy-tale world above and below the waves, that also means it must save itself when it storms. And so it does. Readers young and old will find the strength and inspiration in this quietly powerful story about growing, learning, and life's ups and downs.

Author : Sofian Audry
Publisher : MIT Press
Page : 215 pages
File Size : 45,6 Mb
Release : 2021-11-23
Category : Art
ISBN : 9780262367103

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Art in the Age of Machine Learning by Sofian Audry Pdf

An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.

Author : Rocket Baby Club
Publisher : Unknown
Page : 36 pages
File Size : 47,8 Mb
Release : 2019-05-20
Category : Juvenile Nonfiction
ISBN : 1646065239

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Goldfish Pond School by Rocket Baby Club Pdf

Author : Rocket Baby Club
Publisher : Unknown
Page : 38 pages
File Size : 46,8 Mb
Release : 2018-07-26
Category : Juvenile Nonfiction
ISBN : 1643708740

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Mike's Peanuts by Rocket Baby Club Pdf

Machine learning in artificial intelligence is finally accessible to kids! Mike the squirrel is digging peanuts to give as a present for his friend's birthday. Since peanuts grow underground, Mike needs to predict how deep he should dig. After a trip with Mike, you and your loved ones will know what linear regression is before you realize it!

Author : Dale Lane
Publisher : Unknown
Page : 392 pages
File Size : 41,8 Mb
Release : 2021
Category : Electronic
ISBN : 109812846X

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Machine Learning for Kids by Dale Lane Pdf

Artificial intelligence (AI) is the ability of computers to simulate human thinking. Machine learning (ML) is one of the building blocks of AI. It's based on the idea that computers can be taught to do things on their own from the data and feedback you give them. Machine Learning for Kids consists of this book and a kid-friendly companion website paired with the educational coding platform, Scratch. Together, they provide an easy-to-use guided programming environment for adding ML capabilities to your own AI projects! As you work through each chapter you'll discover how ML systems can be taught to recognize text, images, numbers, and sounds, and different ways of training ML models to improve their accuracy. You'll turn your models into fun computer games and apps (and see what happens when an AI system gets confused by bad data) while building: •A Rock, Paper, Scissors game that knows your hand shapes •A smart question-answering chatbot •A computer character that reacts to insults and compliments •An interactive virtual assistant (like Amazon's Alexa) that obeys commands •An AI version of Pac-Man, with a character trained to avoid ghosts Requirements: No experience in machine learning or basic coding is necessary! This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project.

Author : Andreas Miroslaus Wichert,Luis Sa-couto
Publisher : World Scientific
Page : 641 pages
File Size : 45,8 Mb
Release : 2021-01-26
Category : Computers
ISBN : 9789811234071

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Machine Learning - A Journey To Deep Learning: With Exercises And Answers by Andreas Miroslaus Wichert,Luis Sa-couto Pdf

This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.Related Link(s)

Author : Fred Nwanganga,Mike Chapple
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 52,9 Mb
Release : 2020-05-27
Category : Computers
ISBN : 9781119591511

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Practical Machine Learning in R by Fred Nwanganga,Mike Chapple Pdf

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, demonstrate its organizational benefits, and provide hands-on examples created in the R programming language. A perfect guide for professional self-taught learners or students in an introductory machine learning course, this reader-friendly book illustrates the numerous real-world business uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool, classification and regression techniques, performance evaluation, and more. Explores data management techniques, including data collection, exploration and dimensionality reduction Covers unsupervised learning, where readers identify and summarize patterns using approaches such as apriori, eclat and clustering Describes the principles behind the Nearest Neighbor, Decision Tree and Naive Bayes classification techniques Explains how to evaluate and choose the right model, as well as how to improve model performance using ensemble methods such as Random Forest and XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested in leveraging the power of AI to solve business problems, as well as students and independent learners seeking to enter the field.

Author : Seymour Papert
Publisher : Basic Books
Page : 256 pages
File Size : 50,7 Mb
Release : 1994-04-29
Category : Education
ISBN : 0465010636

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The Children's Machine by Seymour Papert Pdf

In his classsic book, Mindstorms: Children, Computers, and powerful Ideas, Seymour Papert set out a vision of how computers could change school. In The Children's Machine he now looks back over a decade during which American schools acquired more than three million computers and assesses progress and resistance to progress.

Author : Leonard Deep
Publisher : Unknown
Page : 236 pages
File Size : 43,5 Mb
Release : 2019-05-13
Category : Electronic
ISBN : 1097858308

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Python Machine Learning for Beginners by Leonard Deep Pdf

Are you interested to get into the programming world? Do you want to learn and understand Python and Machine Learning? Python Machine Learning for Beginners is the guide for you. Python Machine Learning for Beginners is the ultimate guide for beginners looking to learn and understand how Python programming works. Python Machine Learning for Beginners is split up into easy to learn chapters that will help guide the readers through the early stages of Python programming. It's this thought out and systematic approach to learning which makes Python Machine Learning for Beginners such a sought-after resource for those that want to learn about Python programming and about Machine Learning using an object-oriented programming approach. Inside Python Machine Learning for Beginners you will discover: An introduction to Machine Learning The main concepts of Machine Learning The basics of Python for beginners Machine Learning with Python Data Processing, Analysis, and Visualizations Case studies and much more! Throughout the book, you will learn the basic concepts behind Python programming which is designed to introduce you to Python programming. You will learn about getting started, the keywords and statements, data types and type conversion. Along with different examples, there are also exercises to help ensure that the information sinks in. You will find this book an invaluable tool for starting and mastering Machine Learning using Python. Once you complete Python Machine Learning for Beginners, you will be more than prepared to take on any Python programming. Scroll back up to the top of this page and hit BUY IT NOW to get your copy of Python Machine Learning for Beginners! You won't regret it!