Tinker Toddlers is a series designed to introduce first nonfiction emerging STEM concepts to babies, toddlers, and preschoolers. Dion is not an ordinary machine. He has a superpower - he can learn. And Aria knows exactly what to teach him. Follow along as she teaches Dion all about cats and dogs.

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

Machine Learning is the ability of computers to learn without being programmed. Follow all the tinker toddlers (colorful robots, toddlers, and machines) as they toddle through the ABCs of Machine Learning! A is for Artificial Intelligence B is for Brain C is for Computer From artificial intelligence to neural networks, to robots and zzz's, ABCs of Machine Learning is a great way to introduce basic concepts about machine learning, an exploding field that will be like electricity to our future generation. The vibrant, beautiful, and visually stimulating illustrations encourage the child's sense of wonder and curiosity as they learn their ABCs (and might stimulate your senses too)! The book includes two levels of learning! Level 1 baby basics in black text and Level 2 in purple text for toddlers to build on. Also in the Tinker Toddlers Series: Machine Learning for Babies & Toddlers Artificial Intelligence for Babies & Toddlers Neural Networks for Babies & Toddlers

Simple concepts about up-and-coming science and technology to kick-start your future genius! Artificial Intelligence for Babies & Toddlers is a great way to introduce basic concepts about different types of artificial intelligence, a hot field with the promise to change our world. The colorful, beautiful, and visually stimulating illustrations encourage the child's sense of wonder and inquisitiveness (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) Machine Learning for Babies & Toddlers and Solar System for Babies & Toddlers

Simple explanations about emerging STEM (science, technology, engineering and mathematics) kick-starting your future genius! Neural Networks for Kids is a vibrant book exploring the very basics of neural networks, a web of smart cells that help you and machines learn, with a fun little story about Jaya's quest to collect flowers. This book will help familiarize your little one with how neurons look and function, both in us and in computing systems. The colorful, beautiful, and visually stimulating illustrations and two levels of learning encourage the child's sense of wonder, adventure, 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: Machine Learning for Babies & Toddlers Artificial Intelligence for Babies & Toddlers ABCs of Machine Learning Solar System for Babies & Toddlers

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.

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.