What follows is the list of books and classes I used during my journey to become more well-versed in the world of AI and Machine Learning.
2023 Relevant Reading List:
Natural Language Processing with Python: Natural Language Processing Using NLTK By: Frank Millstein
Algorithms: MIT Press Essential Knowledge Series By: Panos Louridas
Algorithms to Live By: The Computer Science of Human Decisions By: Brian Christian, Tom Griffiths
Accelerate: Building and Scaling High Performing Technology Organizations
Written by: Nicole Forsgren PhD, Jez Humble, Gene Kim
Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking
Written by: Foster Provost, Tom Fawcett
The Age of AI: And Our Human Future
By: Henry A. Kissinger, Eric Schmidt, Daniel Huttenlocher
The Etymologicon: A Circular Stroll Through the Hidden Connections of the English Language
Written by: Mark Forsyth
Written by: Jay W. Richards
Superintelligence: Paths, Dangers, Strategies
Written by: Nick Bostrom
Storynomics
Written by: Robert McKee, Thomas Gerace
Your Deceptive Mind: A Scientific Guide to Critical Thinking Skills
Written by: Steven Novella, The Great Courses
How Colors Affect You: What Science Reveals
Written by: William Lidwell, The Great Courses
Understanding Cognitive Biases
Written by: Alexander B. Swan, The Great Courses
Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones
By: James Clear
Written by: Programming Languages Academy
The Elements of Eloquence: Secrets of the Perfect Turn of Phrase
Written by: Mark Forsyth
2023 AI CLASSES:
Artificial Intelligence: Implications for Business StrategyM.I.T. Sloan & M.I.T CSAIL
Generative AI with Large Language ModelsDeepLearning.AI
Prompt Engineering for ChatGPT Vanderbilt University
Machine Learning: an overviewPolitecnico di Milano
Introduction to Large Language ModelsGoogle Cloud
Introduction to Generative AIGoogle Cloud
Introduction to Generative AI StudioGoogle Cloud
Getting started with AI using IBM Watson
IMB
Ethics in the Age of AI Specialization:
Artificial Intelligence Algorithms Models and Limitations
Artificial Intelligence Data Fairness and Bias
Artificial Intelligence Ethics in Action
Artificial Intelligence Privacy and Convenience Learn Quest
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