Learning Technology

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

Kids love asking big questions about space: How hot is the Sun? What are planets made of? What do astronauts see in space? Their questions won’t stop there — and they don’t have to. Our Solar System for Kids 8–12 turns every “why” and “how” into a moment of discovery. Your child will feel like a brave explorer as they learn real science through storytelling.

In Understanding Software, Max Kanat-Alexander, Technical Lead for Code Health at Google, shows you how to bring simplicity back to computer programming. Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

Do you like math and science? Do you like to conduct experiments in science class? If so, then you might want to become a chemist someday. What exactly is chemistry? Chemistry focuses on chemical substances and how they interact with each other. Kids will love this upbeat audiobook guaranteed to make them interesting in learning more about becoming a chemist someday.

What jobs does an astronaut have? What kind of work needs to be done on a spacecraft? Listeners will learn all about the work an astronaut does.

Airplanes that soared through ancient skies? An underwater city? Could these unbelievable things ever have existed? Learn about the top 10 ancient mysteries and investigate for yourself.

What's it like to travel through space? From take off to landing to everything in between, listeners will learn the ins and outs of space travel.

What exactly is a primary source? How does it compare to other types of sources? Emerging listeners need to know the difference. Listeners will also be introduced to the concept of plagiarism, how to choose sources for their writing and reports, checking source dates and accuracy, and more.

What does it take to become an astronaut? How do astronauts train to be in outer space? Listeners will learn all about what it's like to become an astronaut.

This book walks you through the "need-to-know" aspects of artificial intelligence, including natural language processing, speech recognition, and the power of machine learning to show you how to make the most of this technology in a practical, tactical way. Case studies show how real-world companies are taking the next leap forward. Artificial intelligence and machine learning provide a data-driven basis for more robust and intensely-targeted marketing strategies - and companies that effectively utilize these latest tools will reap the benefit in the marketplace.

This book is not about the newest trends or the latest hacks. Instead, it revisits the early practices and principles that shaped social media, reminding us that the roots of Facebook, Instagram, YouTube, and more still matter today. If you’re searching for new tricks, this book is not for you. But if you want to rediscover the timeless foundations that built social media, then you’ve found the right guide.

Learn How You Can Start Making Money By Publishing Books Today. Even if you're a complete novice, even if you're not a tech guru, and yes, even if you're an 80-year-old grandma. This book is your easy guide to learn how to write better and faster than ever by harnessing the power of ChatGPT.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

In 1952, April is seven years old and adores her big sister, Annabel. But Annabel is failing her math class and desperately needs help with a tough math problem. April decides to write to Albert Einstein, asking him to give a hand.

Inspired by The Autobiography of Benjamin Franklin, Michael J. Rosen's wry tale captures Ben's spirit in evocative yet playful language. A love story to the value of variety, A Ben of All Trades sheds light on an unconventional path to greatness and humanizes a towering figure in American history.

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

“A must-read for anyone looking to understand how artificial intelligence is poised to transform human society and life.” —Paul Scharre, Author of Four Battlegrounds: Power in the Age of Artificial Intelligence The future is now. Acclaimed technologist and inventor Amir Husain explains how...

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

Unravel the secrets of the AI revolution in just 7 days, even if you've never written a line of code! Do terms like "Machine Learning" or "Neural Networks" confuse you? Eager to understand AI but unsure where to start? You're not alone. Many believe mastering AI is only for tech experts. But here's the truth: Anyone can learn AI, and this guide shows you how!