AI Foundations of Machine Learning: Easy To Read Guide Introducing the Foundations Of Machine Learning

by Jon Adams

AI Foundations of Machine LearningEmbark on a clarifying expedition through the vibrant world of AI with "AI Foundations of Machine Learning." This comprehensive guide is meticulously crafted for those eager to unravel the complex mechanisms driving artificial intelligence and for pioneers looking to grasp the foundational stones of future technological advancements. From the fundamentals to the futuristic prospects, this book serves as both an educational journey and an initiation into the realm where data, computation, and potential converge.


Understanding Supervised Begin your journey with an exploration of supervised learning, where machines learn from data with known outcomes, setting the stage for further complexities.The Mechanics of Unsupervised Delve into the artistry of AI as it uncovers hidden patterns without explicit instructions, highlighting the autonomy of machine learning.Diving into Neural Uncover the intricacies of neural networks, AI's approximation of the human brain, capable of recognizing speech, images, and nuances in vast datasets.The Decision Tree Discover the decision-making processes of AI through the decision tree paradigm, where data is systematically divided and conquered.Ensemble Methods Combining Learn about the power of ensemble methods, which combine multiple models to enhance predictive accuracy and overcome individual weaknesses.Evaluating Model Understand the critical aspect of evaluating AI model performance, ensuring the integrity and applicability of machine learning applications.Machine Learning in the Real Witness the transformative impact of machine learning across various industries, from healthcare to finance, and how it reshapes our interaction with technology.The Future of Machine Gaze into the future, anticipating the breakthroughs and challenges of machine learning as it becomes an omnipresent force in our lives. This book is your gateway to understanding and participating in the future of AI, equipped with the knowledge to navigate and contribute to the advancements that lie ahead. Whether you are a student, professional, or enthusiast, "AI Foundations of Machine Learning" offers valuable insights into the ever-evolving field of machine learning, encouraging readers to not only understand but also to innovate in the unfolding story of AI.

133 pages, Kindle Edition

Published January 30, 2024

About the author

I grew up in Santa Clara Valley, a place that no longer exists under that name. I attended school in Cupertino when there were still some prunes, cherries, and apricots, but no apples then. In my junior year of high school, I dropped out. For my parents took us (me, my two brothers and my sister) on a world cruise. We left San Francisco on the 58-foot schooner Fairweather. We sailed west across the Pacific and Indian Oceans, then up the Red Sea to the Mediterranean. From there we sailed across the Atlantic and Caribbean, passed through the Panama Canal, and then, after four years, returned to San Francisco. This cruise is the basis for the novel, "The Cruise of the Jest."

The basic story in "The Cruise of the Jest" had been on my mind for a long time, but the novel itself is not entirely based on my own experience. My mother kept a journal during the cruise on Fairweather, a journal that I later inherited. Actually, I started writing The Cruise of the Jest after I began transcribing and editing my mother's journal, because I realized that the journal didn't tell a story--journals rarely do. And I knew that if I wanted to describe what it was like to sail around the world, I needed a story. I think this need for a story is an example of fiction being more believable, and certainly more compelling, than simply telling the facts of what happened. The facts of what happened have their own place in my memory, but it takes a story to convey to others a sense of your own experience.