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About the Book This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you'll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x. Book Synopsis Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. Key Features Second edition of the bestselling book on Machine Learning A practical approach to key frameworks in data science, machine learning, and deep learning Use the most powerful Python libraries to implement machine learning and deep learning Get to know the best practices to improve

Unlock the fascinating world of neural networks with "Make Your Own Neural Network." This engaging guide takes you on a step-by-step journey through the mathematics and coding required to create your own neural network using Python, making complex concepts accessible to everyone. - **Easy to Understand**: Designed for readers with only secondary school math knowledge. - **Hands-On Learning**: Build a neural network that recognizes handwritten numbers, achieving professional-level performance. - **Illustrative Approach**: Features numerous illustrations and examples to clarify mathematical ideas. - **Practical Coding**: Learn Python programming while developing your neural network. - **Advanced Techniques**: Push your network's performance to an impressive 98% accuracy, even on a Raspberry

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About the Book "Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers ea

Unleash your creativity and dive into the fascinating world of robotics with "Build Your Own Robot." This DIY guide empowers you to construct your very own robot using affordable, easily accessible components and simple tools. Perfect for beginners, this book provides clear, step-by-step instructions that make robotics fun and approachable. - Learn to coordinate DC motors for movement - Create a web app to control your robot remotely - Integrate cameras for basic computer vision capabilities - Discover how to read QR codes for object identification - No special skills or expensive tools required—just basic Python knowledge With "Build Your Own Robot," you'll gain hands-on experience in programming and robotics, all while building a robot that can move, interact, and even fetch snacks. Pl

AI: Understand the Revolution: From Basics and Buzzwords to Tech Giants by Connor Secrist Title: AI: Understand the Revolution: From Basics and Buzzwords to Tech Giants Author: Connor Secrist Publisher: Quick Byte Books Publication Year: 2025 Edition: First Edition Format: Hardcover

Simple Exercises for Building the Life You Want An interactive guide to building good habits and breaking bad ones, based on the 25-million copy #1 New York Times bestseller Atomic Habits. The official companion to the #1 worldwide bestseller is the next step in your habits toolkit. Guided journal prompts will help you engage with your habits and the forces that impact them. Thought-provoking exercises allow you to implement the Atomic Habits theories and see your life transform. This workbook takes the reader from understanding habits to living them. James Clear’s system helps good habits emerge naturally while unwanted habits fade away.What’s included: · Guided templates for easy habit tracking and habit stacking · Journaling prompts to help you assess you

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 🛒 Check on Amazon: https://www.amazon.com/dp/B0BHCFNY9Q/?tag=sersart2024-20

Book Synopsis This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and inte

Are you a beginner programmer looking to learn Python Machine Learning? Are you concerned about how to transfer what you already know into Python? If so, this book will help you in overcoming such challenges. As machines get more sophisticated & handle more & more work to free up human time, new ideas arise to help us improve their efficiency & abilities. You will gradually uncover knowledge & guidance on:What exactly is machine learning, How to use Scikit-Learn & Tensorflow, The 5 V's of Big Data, Neural networks with Scikit-learn, Machine learning & the Internet of Things (IoT), How to Implement KNN Algorithm, How to Determine the “k” Parameter. And so much more...

Pattern Recognition and Machine Learning (Information Science and Statistics) 🛒 Check on Amazon: https://www.amazon.com/dp/0387310738/?tag=sersart2024-20

No matter your age or experience level, there's a Raspberry Pi Project for you, and in Practical Raspberry Pi Projects we're giving you everything you need to fire up your imagination and unleash your creativity. From hardware-based projects like building a Raspberry Pi-controlled car, through software projects like programming your own virtual assistant, all the way to advanced electronics projects that will see you building a Minecraft power move glove, car computer or quadcopter, we've got plenty here to keep you busy. Featuring: 10 practical Raspberry Pi projects - Follow along with our expert advice and kick-start your own amazing Raspberry Pi projects. Build a Raspberry Pi car computer - Make your own touchscreen navigation system that gives directions, local weather reports and play

Open-Source Lab by Joshua Pearce Title: Open-Source Lab Author: Joshua Pearce Publisher: Elsevier Publication Year: 2013 Edition: 1st edition Format: Paperback

Human action under complexity follows patterns of constraint, energy, attention, prediction error, and recovery. The book reads the system at the level where effort, timing, and adaptation intersect. For readers working inside pressure, overload, and shifting demands. #HumanBehavior #SystemsThinking #DecisionMaking #CaspianLux

Book Synopsis To really learn data science, you should not only master the tools--data science libraries, frameworks, modules, and toolkits--but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistic

Popular Mechanics helps the reader master the modern world, presenting trusted information about his home, his car, his technology and the world around him. With tool tests, building projects, car reviews and more, Popular Mechanics shows the American man how to upgrade his life. And the magazine\'s analysis of the latest developments in technology and engineering keeps him in the know about the science behind the news-from alternative energy to military technology to digital privacy. Each month, nearly 9 million curious minds turn to Popular Mechanics for advice and in-depth reporting... Automotive, Car, Mechanisam