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Want to learn AI, deep learning, machine learning, and data science? You're in the right place.

Free Stuff

New here? To get a sense of my teaching style and in-depth content, please enjoy these free videos from my YouTube channel. You are also encouraged to check out my free course also (see the Catalog for details).

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Free Machine Learning Algorithm Demos

K-Means Clustering Visualizer

K-Means Clustering is a popular unsupervised machine learning algorithm that separates unlabeled data into categories or groups (i.e. "clusters"). It's a specific instance of the Expectation-Maximization algorithm, one of the most beautiful algorithms in machine learning and statistics. From the course: Cluster Analysis and Unsupervised Machine Learning in Python.
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Free Videos

Predicting Stock Prices with LSTMs: One Mistake Everyone Makes

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Free Videos

Build Your Own Computer Science Degree for Machine Learning and Artificial Intelligence

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Free Videos

When should I use Support Vector Machines (SVM)?

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Not sure what order to take the courses in?

Start deep learning from scratch!

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Popular from YouTube Shorts

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AI Mastery Week 1: Python
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AI Mastery Week 2: Calculus
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AI Mastery Week 3: Linear Algebra
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How Google Hacked ChatGPT
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Stable Diffusion XL Turbo (Real-Time Generative AI Art)
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AI Mastery Week 4: Matrix Calculus
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AI Mastery Week 5: Probability
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AI Mastery Week 6: Statistics
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AI Mastery Week 7: Numpy
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AI Mastery Week 8: Matplotlib
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AI Mastery Week 9: Pandas
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AI Mastery Week 10: Scipy
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AI Mastery Week 11: Scikit-Learn
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Mamba / S4 Discretization Step
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AI Mastery Week 12: Linear Regression
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AI Mastery Week 13: Logistic Regression

Learn the Skills Hiring Managers Want

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Time Series
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Deep Learning
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Data Science
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Generative AI

Popular from Free Videos

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Can we use GPT-4 for EVERYTHING?
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Synthesia: Make Talking Head Videos With AI
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DeepFakes! Voice Cloning and Transcription with Descript Tutorial
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The WORST Mistake Data Scientists Make
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🤗 Using HuggingChat to Design AGI and Beat the Stock Market
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ChatGPT Knows Who I Am!?
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Can YouTube Teach Me Calculus?
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Coding Interview Questions: Row With Max Ones
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Predict 2023 Recession With Machine Learning & Data Science
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Benefits of Bayesian Machine Learning (SNEAK PEEK)
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What are Transformers in Deep Learning?
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Machine Learning in Finance by Dixon - A Critique
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Probability that Elon Musk has COVID-19
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Tensorflow 2 One Year Later (plus PyTorch, JAX, and Julia)
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Pitfalls for Web, Mobile, and Backend Developers getting into Machine Learning and AI
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The Monty Hall Probability Problem (Bayes' Rule)
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Who should learn backpropagation for deep learning in 2020 and beyond?
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Data Science Interview Questions: Deep Learning Numerically Stable Cross-Entropy
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Machine Learning: Train vs. Validation vs. Test Sets
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Install NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer (CUDA / CuDNN)
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What Level of Probability for Machine Learning?
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Data Science Interview Question: Stock Price Prediction and Random Walk Hypothesis
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Data Science Interview Questions: Sum of Residuals
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Differences Between Tensorflow 1.x and Tensorflow 2.0
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How to get Tensorflow 2.0 in Google Colab
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Intro to Google Colab, free GPU and TPU for Deep Learning
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Stock Price Analysis and Parts-of-Speech Tagging with Hidden Markov Models (HMMs)
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The 3 Problems of a Hidden Markov Model (HMM)
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When should I use Support Vector Machines (SVM)?
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What is Computer Vision? Guide to learning path for how to master Computer Vision with Deep Learning
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Deep Learning: Class Activation Maps Theory
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