The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques
Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.
Dominate data analytics, data science, and big data
Generative Adversarial Networks and Variational Autoencoders in Python, Theano, and Tensorflow
The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks
GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences
Advanced Computer Vision and Convolutional Neural Networks in Tensorflow, Keras, and Python
Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets
Apply deep learning to artificial intelligence and reinforcement learning using evolution strategies, A2C, and DDPG
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow
Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python
Practical Applications of NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.
Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Sci-Kit Learn
Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python
Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!
Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.
HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.
The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
Theano / Tensorflow: Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA
Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning
Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression
