Machine Learning Guide
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This series aims to teach you the high level fundamentals of machine learning from A to Z. I'll teach you the basic intuition, algorithms, and math. We'll discuss languages and frameworks, deep learning, and more. Audio may be an inferior medium to task; but with all our exercise, commute, and chores hours of the day, not having an audio supplementary education would be a missed opportunity. And where your other resources will provide you the machine learning trees, I’ll provide the forest. Additionally, consider me your syllabus. At the end of every episode I’ll provide the best-of-the-best resources curated from around the web for you to learn each episode’s details.
||Clean29. Reinforcement Learning Intro||Introduction to reinforcement learning concepts||2/5/2018||Free||View in iTunes|
||Clean28. Hyperparameters 2||Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling||2/4/2018||Free||View in iTunes|
||Clean27. Hyperparameters 1||Hyperparameters part 1: network architecture||1/27/2018||Free||View in iTunes|
||Clean26. Project Bitcoin Trader||Community project & intro to Bitcoin/crypto + trading||1/26/2018||Free||View in iTunes|
||Clean25. Convolutional Neural Networks||Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling.||10/30/2017||Free||View in iTunes|
||Clean24. Tech Stack||TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce.||10/6/2017||Free||View in iTunes|
||Clean23. Deep NLP 2||RNN review, bi-directional RNNs, LSTM & GRU cells.||8/20/2017||Free||View in iTunes|
||Clean22. Deep NLP 1||Recurrent Neural Networks (RNNs) and Word2Vec.||7/28/2017||Free||View in iTunes|
||Clean21. Update||Update on Patreon and resources||7/27/2017||Free||View in iTunes|
||Clean20. Natural Language Processing 3||Natural Language Processing classical/shallow algorithms.||7/23/2017||Free||View in iTunes|
||Clean19. Natural Language Processing 2||Natural Language Processing classical/shallow algorithms.||7/10/2017||Free||View in iTunes|
||Clean18. Natural Language Processing 1||Introduction to Natural Language Processing (NLP) topics.||6/25/2017||Free||View in iTunes|
||Clean17. Checkpoint||Checkpoint - learn the material offline!||6/3/2017||Free||View in iTunes|
||Clean16. Consciousness||Can AI be conscious?||5/20/2017||Free||View in iTunes|
||Clean15. Performance||Performance evaluation & improvement||5/6/2017||Free||View in iTunes|
||Clean14. Shallow Algos 3||Speed run of Anomaly Detection, Recommenders(Content Filtering vs Collaborative Filtering), and Markov Chain Monte Carlo (MCMC)||4/22/2017||Free||View in iTunes|
||Clean13. Shallow Algos 2||Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier.||4/8/2017||Free||View in iTunes|
||Clean12. Shallow Algos 1||Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees||3/18/2017||Free||View in iTunes|
||Clean11. Checkpoint||Checkpoint - start learning the material offline!||3/7/2017||Free||View in iTunes|
||Clean10. Languages & Frameworks||Languages & frameworks comparison. Languages: Python, R, MATLAB/Octave, Julia, Java/Scala, C/C++. Frameworks: Hadoop/Spark, Deeplearning4J, Theano, Torch, TensorFlow.||3/6/2017||Free||View in iTunes|
||Clean9. Deep Learning||Deep learning and neural networks. How to stack our logisitic regression units into a multi-layer perceptron.||3/3/2017||Free||View in iTunes|
||Clean8. Math||Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus.||2/22/2017||Free||View in iTunes|
||Clean7. Logistic Regression||Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner!||2/18/2017||Free||View in iTunes|
||Clean6. Certificates & Degrees||Discussion on certificates and degrees from Udacity to a Masters degree.||2/16/2017||Free||View in iTunes|
||Clean5. Linear Regression||Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression||2/15/2017||Free||View in iTunes|
||Clean4. Algorithms - Intuition||Overview of machine learning algorithms. Infer/predict -> error/loss -> train/learn. Supervised, unsupervised, reinforcement learning.||2/11/2017||Free||View in iTunes|
||Clean3. Inspiration||Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear.||2/9/2017||Free||View in iTunes|
||Clean2. What is AI / ML||What is artificial intelligence and machine learning? What's the difference? How about compared to statistics and data science? AI history.||2/8/2017||Free||View in iTunes|
||Clean1. Introduction||Introduction to the Machine Learning Guide||1/31/2017||Free||View in iTunes|
Great podcast start. Doesn't feel like a constant advertisement and I am actually picking up some stuff just from the first four episodes. Hope to hear the rest soon.
Very informative information. This guy is great!
Exactly what I was looking for
When it comes to machine learning and AI, it seems like all materials are either no-details fluff pieces in Wired or hardcore academic stuff. This podcast is right in between. Made for beginners who actually want to learn.
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