Learning Technology

We can learn many things from models. Scientists use models to test their ideas. Listeners will learn about the importance of making predictions, testing ideas, collecting data, and more.

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.

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 is daily life like in space? How do astronauts cook, sleep, and go to the bathroom? Listeners will learn all about the interesting daily life of an astronaut.

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.

When gladiators fought in combat, there was usually only one winner. The victor may not have realized it, but he owed his success to science. Learn how science helped gladiators find victory in the arena.

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.

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.

This course provides a detailed executive-level review of contemporary topics in supervised machine learning theory with specific focus on predictive modeling and linear regression. The ideal student is a technology professional with a basic working knowledge of machine learning theory. Additionally, to better inform the interested student, the final lesson of this course presents samples in Python describing the essential implementation of described regression methods.

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.

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.

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.

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.

“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.