AI Fundamentals

video👁️ 0

Essence of Linear Algebra

3Blue1Brown prerequisite math

video👁️ 0

Neural Networks

3Blue1Brown series on how neural networks work

🎓Courses(6)

scroll for more →

course👁️ 1

CS229: Machine Learning

Learn machine learning fundamentals with Andrew Ng's CS229 course! Explore key AI concepts and algorithms.

Neural Networks and Deep Learning

In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.

Practical Deep Learning for Coders

Learn AI fundamentals with Jeremy Howard's "Practical Deep Learning for Coders" course. Build real-world applications & master deep learning!

course👁️ 1

Machine Learning

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

AI for Everyone

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

Introduction to Artificial Intelligence

Artificial Intelligence is revolutionizing industries, reshaping business strategies, and transforming the way we work. Are you ready to understand AI’s potential and harness its power? In this engaging online course, you’ll dive into the fundamentals of AI, from its historical roots to cutting-edge innovations in machine learning, deep learning, and generative AI. Through real-world applications and expert insights, you’ll discover how AI models work, how businesses are leveraging AI, and what the future holds for Artificial General Intelligence (AGI). But AI isn’t just about technology—it’s about impact. That’s why this course also explores the ethical challenges, regulatory considerations, and societal implications of AI. By the end, you’ll gain the critical knowledge needed to confidently navigate the evolving AI landscape. Whether you’re a business professional, entrepreneur, or tech enthusiast, this course is designed to equip you with practical insights and a strong foundation in AI. Join us today and take the first step toward mastering the future of AI!

📚Books(3)

book👁️ 0

Artificial Intelligence: A Guide to Intelligent Systems

Artificial Intelligence: A Guide to Intelligent Systems - A book resource

book👁️ 0

Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach - A book resource

book👁️ 0

AI Superpowers

AI Superpowers - A book resource

🌐Websites(6)

scroll for more →

Andrej Karpathy's Blog

Tutorials like 'Zero to Hero' neural nets

Neural Network Zoo

Overview of neural net architectures

Distill.pub

Interactive visualizations for ML concepts

ai.google

Google AI is the official hub for Google’s AI research, projects, and news. It offers research papers, open-source tools, datasets, APIs, and guidance on responsible AI and real-world applications.

towardsdatascience.com

Towards Data Science is a popular online publication covering data science, AI, and machine learning, offering practical tutorials, explainers, and real-world case studies. Content includes Python and other language tutorials, code walkthroughs, project guides, tool reviews, and career insights from contributing data scientists.

openai.com

OpenAI.com is the official site for OpenAI, a leading AI research and deployment lab. It provides product information and access to tools like the API (and models such as ChatGPT and DALL·E), plus research papers, blog posts, and safety and policy content.