Course Catalog

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Latest Courses

Data Science: Transformers for Natural Language Processing

BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras
Machine Learning: Natural Language Processing in Python (V2)

NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python
Time Series Analysis, Forecasting, and Machine Learning in Python

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting
Financial Engineering and Artificial Intelligence in Python

Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!

Deep Learning Fundamentals

Deep Learning Prerequisites: Linear Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals
Deep Learning Prerequisites: Logistic Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals
Data Science: Deep Learning and Neural Networks in Python

A guide for writing your own neural network in Python and Numpy, and how to do it in Google's TensorFlow.
Data Science: Modern Deep Learning in Python

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
Deep Learning: Convolutional Neural Networks in Python

Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
Deep Learning: Recurrent Neural Networks in Python

GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences
Unsupervised Deep Learning in Python

Autoencoders and Restricted Boltzmann Machines for Deep Neural Networks in Theano / Tensorflow, plus t-SNE and PCA
Natural Language Processing with Deep Learning in Python

Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets
Advanced AI: Deep Reinforcement Learning in Python

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks
Deep Learning: GANs and Variational Autoencoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

Deep Learning Applications

Data Science: Transformers for Natural Language Processing

BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras
PyTorch: Deep Learning and Artificial Intelligence

Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
Tensorflow 2.0: Deep Learning and Artificial Intelligence

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!
Recommender Systems and Deep Learning in Python

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques
Deep Learning: Advanced NLP and RNNs

Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More Tensorflow, Keras, and Python

Machine Learning Fundamentals

Deep Learning Prerequisites: Linear Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals
Deep Learning Prerequisites: Logistic Regression in Python

Data science, machine learning, and artificial intelligence in Python for students and professionals
Data Science and Machine Learning: Naive Bayes in Python

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills
Data Science: Supervised Machine Learning in Python

Complete Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn
Cluster Analysis and Unsupervised Machine Learning in Python

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.
Unsupervised Machine Learning: Hidden Markov Models in Python

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.
Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python
Machine Learning and AI: Support Vector Machines in Python

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression

Data Science and Statistics Fundamentals

Classical Statistical Inference and A/B Testing in Python

The Most-Used and Practical Data Science Techniques in the Real-World
Linear Programming for Linear Regression in Python

For Operations Research, Quantitative Finance, Economics, and More

Data Science and Machine Learning for Business Applications

Bayesian Machine Learning in Python: A/B Testing

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
Recommender Systems and Deep Learning in Python

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques
Time Series Analysis, Forecasting, and Machine Learning in Python

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series Forecasting
Data Science: Time Series Forecasting with Facebook Prophet in Python

Time Series Analysis with the Facebook Prophet Library

Natural Language Processing

Machine Learning: Natural Language Processing in Python (V2)

NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python
Data Science: Natural Language Processing (NLP) in Python

Practical applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.
Natural Language Processing with Deep Learning in Python

Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets
Deep Learning: Advanced NLP and RNNs

Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!
Data Science: Transformers for Natural Language Processing

BERT, GPT, Deep Learning, Machine Learning, & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch, & Keras

Computer Vision

Deep Learning: Convolutional Neural Networks in Python

Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More Tensorflow, Keras, and Python
Deep Learning: GANs and Variational Autoencoders

Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow

Reinforcement Learning

Artificial Intelligence: Reinforcement Learning in Python

Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning
Advanced AI: Deep Reinforcement Learning in Python

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks
Cutting-Edge AI: Deep Reinforcement Learning in Python

Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG

Numerical Computing Fundamentals

Deep Learning Prerequisites: The Numpy Stack in Python (V2)

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
Data Science Prerequisites: The Numpy Stack in Python (V2+)

Numpy, Scipy, Pandas, Matplotlib, and Scikit-Learn: prep for deep learning, machine learning, and artificial intelligence
MATLAB for Students, Engineers, and Professionals in STEM

Complete guide to MATLAB for beginners and experts

Programming Basics

Complete SQL Bootcamp for Data Science, Analytics, Marketing

Master SQL for Job Interview Preparation, Data Analysis, Big Data, and Business Intelligence

Math for Data Science & Machine Learning

Math 0-1: Calculus for Data Science & Machine Learning

A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers

Bayesian Machine Learning

Bayesian Machine Learning in Python: A/B Testing

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
Data Science: Bayesian Linear Regression in Python

Fundamentals of Bayesian Machine Learning Parametric Models
Data Science: Bayesian Classification in Python

Apply Bayesian Machine Learning to Build Powerful Classifiers

Exclusives and Mini-Courses

Math 0-1: Calculus for Data Science & Machine Learning

A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers
Data Science: Bayesian Classification in Python

Apply Bayesian Machine Learning to Build Powerful Classifiers
Data Science: Bayesian Linear Regression in Python

Fundamentals of Bayesian Machine Learning Parametric Models
Classical Statistical Inference and A/B Testing in Python

The Most-Used and Practical Data Science Techniques in the Real-World
Linear Programming for Linear Regression in Python

For Operations Research, Quantitative Finance, Economics, and More
MATLAB for Students, Engineers, and Professionals in STEM

Complete guide to MATLAB for beginners and experts
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