Learning Artificial Intelligence

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.

How to Make Money with AI is your comprehensive guide for optimizing AI and growing your business. Even if you have never used AI before, this book will show you how to set up your AI account, become a top online earner, and create passive income sources.

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives and how we can shape the way they impact us.

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

In 1931, a young woman writer living in Germany was inspired by Anita Loos's Gentlemen Prefer Blondes to describe pre-war Berlin and the age of cinematic glamour through the eyes of a woman. The resulting novel, The Artificial Silk Girl, became an acclaimed bestseller and a masterwork of German literature, in the tradition of Christopher Isherwood's Berlin Stories and Bertolt Brecht's Three Penny Opera. Like Isherwood and Brecht, Keun revealed the dark underside of Berlin's "golden twenties" with empathy and honesty.

"Teaching with AI" offers a straightforward, practical guide to using AI for educators and teachers, even if you're starting from scratch. Learn how to effectively implement AI in the classroom, preparing your students for a future shaped by technology.

Generative AI for Beginners Simplified is your ultimate gateway into the exciting world of artificial intelligence and machine learning. This comprehensive guide is specially designed for beginners, breaking down complex concepts into easy-to-understand lessons, practical exercises, and real-world projects. Whether you’re completely new to AI or looking to refresh your skills, this book provides you with a step-by-step roadmap to mastering generative AI and unlocking your creative potential.

You’ve tried traditional teaching methods; you’ve tried more modern approaches… but the challenge remains the same: You have more needs to cater to than one person can reasonably handle. You’re one person, and you can’t do it all… but there’s a tool that could help you. When you integrate AI into your learning environment, you can tailor assignments to the specific needs of each individual in your class, getting instant feedback to help you plan the next move and keep your students engaged.

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!

Are you an educator, instructional leader, or lifelong learner curious about artificial intelligence—but not sure where to begin? AI in Education: Harnessing Artificial Intelligence Tools to Transform Teaching and Professional Practice is your go-to audio companion for navigating the future of education with clarity and confidence. Whether you're driving, walking, or relaxing at home, this audiobook brings the world of AI to life with practical insights, real classroom examples, and visionary strategies designed to support your growth.

Discover how ChatGPT and AI can give you the edge in both your personal and professional life. This new book combines the insights and strategies from two bestselling guides into one comprehensive resource, making it easier than ever to unlock the full potential of AI in your life and work.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

This book explores the impact of artificial intelligence on the workplace, human performance, and learning and development. AI is all around us. It has become an everyday thing. It helps us, it frustrates us and sometimes it makes us laugh. It impacts how we work, where we work and what we do at work. After years of “the robots are coming,” the bots have arrived. It’s hard these days to talk to a human in customer service. Barriers to entry kept AI at bay for decades, then it all changed.

Navigating the AI landscape can be intimidating, especially for non-technical leaders. But no matter your experience level, this book and its Companion Workbook are here to help!

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.

This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this audiobook will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this audiobook or to pass the AI-900 exam. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles.