Detailed
Compact
Art
Reverse
May 24, 2018
MLG: I'm rebooting this series to fix mistakes & add more shallows (Bayesian methods, Tree methods, etc). I'm adding Patreon rewards, including access to a new podcast series: Machine Learning Applied, discussing applied/practical 10-20m frequent episodes. ocdevel.com/mlg/30 for notes and resources
February 5, 2018
Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.
February 4, 2018
Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources
January 28, 2018
Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources
January 27, 2018
Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources
October 30, 2017
Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources
October 7, 2017
TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources
August 20, 2017
RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources
July 29, 2017
Recurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources
July 27, 2017
Introducing a new podcast series on Patreon: Machine Learning Applied. ocdevel.com/mlg/21 for notes and resources
July 23, 2017
Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources
July 11, 2017
Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources
June 26, 2017
Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources
June 4, 2017
Checkpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources
May 21, 2017
Can AI be conscious? ocdevel.com/mlg/16 for notes and resources
May 7, 2017
Performance evaluation & improvement. ocdevel.com/mlg/15 for notes and resources
April 23, 2017
Speed run of Anomaly Detection, Recommenders(Content Filtering vs Collaborative Filtering), and Markov Chain Monte Carlo (MCMC). ocdevel.com/mlg/14 for notes and resources
April 9, 2017
Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier. ocdevel.com/mlg/13 for notes and resources
March 19, 2017
Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees ocdevel.com/mlg/12 for notes and resources
March 8, 2017
Checkpoint - start learning the material offline! ocdevel.com/mlg/11 for notes and resources
March 7, 2017
Languages & frameworks comparison. Languages: Python, R, MATLAB/Octave, Julia, Java/Scala, C/C++. Frameworks: Hadoop/Spark, Deeplearning4J, Theano, Torch, TensorFlow. ocdevel.com/mlg/10 for notes and resources
March 4, 2017
Deep learning and neural networks. How to stack our logisitic regression units into a multi-layer perceptron. ocdevel.com/mlg/9 for notes and resources
February 23, 2017
Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources
February 19, 2017
Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner! ocdevel.com/mlg/7 for notes and resources
February 17, 2017
Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources
February 16, 2017
Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression ocdevel.com/mlg/5 for notes and resources
February 12, 2017
Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning. ocdevel.com/mlg/4 for notes and resources
February 10, 2017
Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear. ocdevel.com/mlg/3 for notes and resources
February 9, 2017
What is artificial intelligence and machine learning? What's the difference? How about compared to statistics and data science? AI history. ocdevel.com/mlg/2 for notes and resources
February 1, 2017
Teaches the high level fundamentals of machine learning and artificial intelligence. I teach basic intuition, algorithms, and math. I discuss languages and frameworks, deep learning, and more. ocdevel.com/mlg/1 for notes and resources
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