Machine Learning Guide
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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. Audio may seem inferior, but it's a great supplement during exercise/commute/chores. Where your other resources provide the machine learning trees, I provide the forest. Consider me your syllabus. At the end of every episode I provide high-quality curated resources for learning each episode’s details.
||Clean030 New Series: Machine Learning Applied||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...||5/24/2018||Free||View in iTunes|
||Clean029 Reinforcement Learning Intro||Introduction to reinforcement learning concepts. ocdevel.com/mlg/29 for notes and resources.||2/5/2018||Free||View in iTunes|
||Clean028 Hyperparameters 2||Hyperparameters part 2: hyper-search, regularization, SGD optimizers, scaling. ocdevel.com/mlg/28 for notes and resources||2/4/2018||Free||View in iTunes|
||Clean027 Hyperparameters 1||Hyperparameters part 1: network architecture. ocdevel.com/mlg/27 for notes and resources||1/27/2018||Free||View in iTunes|
||Clean026 Project Bitcoin Trader||Community project & intro to Bitcoin/crypto + trading. ocdevel.com/mlg/26 for notes and resources||1/26/2018||Free||View in iTunes|
||Clean025 Convolutional Neural Networks||Convnets or CNNs. Filters, feature maps, window/stride/padding, max-pooling. ocdevel.com/mlg/25 for notes and resources||10/30/2017||Free||View in iTunes|
||Clean024 Tech Stack||TensorFlow, Pandas, Numpy, Scikit-Learn, Keras, TensorForce. ocdevel.com/mlg/24 for notes and resources||10/6/2017||Free||View in iTunes|
||Clean023 Deep NLP 2||RNN review, bi-directional RNNs, LSTM & GRU cells. ocdevel.com/mlg/23 for notes and resources||8/20/2017||Free||View in iTunes|
||Clean022 Deep NLP 1||Recurrent Neural Networks (RNNs) and Word2Vec. ocdevel.com/mlg/22 for notes and resources||7/28/2017||Free||View in iTunes|
||Clean021 New Series: Machine Learning Applied||Introducing a new podcast series on Patreon: Machine Learning Applied. ocdevel.com/mlg/21 for notes and resources||7/27/2017||Free||View in iTunes|
||Clean020 Natural Language Processing 3||Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/20 for notes and resources||7/23/2017||Free||View in iTunes|
||Clean019 Natural Language Processing 2||Natural Language Processing classical/shallow algorithms. ocdevel.com/mlg/19 for notes and resources||7/10/2017||Free||View in iTunes|
||Clean018 Natural Language Processing 1||Introduction to Natural Language Processing (NLP) topics. ocdevel.com/mlg/18 for notes and resources||6/25/2017||Free||View in iTunes|
||Clean017 Checkpoint||Checkpoint - learn the material offline! ocdevel.com/mlg/17 for notes and resources||6/3/2017||Free||View in iTunes|
||Clean016 Consciousness||Can AI be conscious? ocdevel.com/mlg/16 for notes and resources||5/20/2017||Free||View in iTunes|
||Clean015 Performance||Performance evaluation & improvement. ocdevel.com/mlg/15 for notes and resources||5/6/2017||Free||View in iTunes|
||Clean014 Shallow Algos 3||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||4/22/2017||Free||View in iTunes|
||Clean013 Shallow Algos 2||Speed run of Support Vector Machines (SVMs) and Naive Bayes Classifier. ocdevel.com/mlg/13 for notes and resources||4/8/2017||Free||View in iTunes|
||Clean012 Shallow Algos 1||Speed-run of some shallow algorithms: K Nearest Neighbors (KNN); K-means; Apriori; PCA; Decision Trees ocdevel.com/mlg/12 for notes and resources||3/18/2017||Free||View in iTunes|
||Clean011 Checkpoint||Checkpoint - start learning the material offline! ocdevel.com/mlg/11 for notes and resources||3/7/2017||Free||View in iTunes|
||Clean010 Languages & Frameworks||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||3/6/2017||Free||View in iTunes|
||Clean009 Deep Learning||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||3/3/2017||Free||View in iTunes|
||Clean008 Math||Introduction to the branches of mathematics used in machine learning. Linear algebra, statistics, calculus. ocdevel.com/mlg/8 for notes and resources||2/22/2017||Free||View in iTunes|
||Clean007 Logistic Regression||Your first classifier: Logistic Regression. That plus Linear Regression, and you're a 101 supervised learner! ocdevel.com/mlg/7 for notes and resources||2/18/2017||Free||View in iTunes|
||Clean006 Certificates & Degrees||Discussion on certificates and degrees from Udacity to a Masters degree. ocdevel.com/mlg/6 for notes and resources||2/16/2017||Free||View in iTunes|
||Clean005 Linear Regression||Introduction to the first machine-learning algorithm, the 'hello world' of supervised learning - Linear Regression ocdevel.com/mlg/5 for notes and resources||2/15/2017||Free||View in iTunes|
||Clean004 Algorithms - Intuition||Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning. ocdevel.com/mlg/4 for notes and resources||2/11/2017||Free||View in iTunes|
||Clean003 Inspiration||Why should you care about AI? Inspirational topics about economic revolution, the singularity, consciousness, and fear. ocdevel.com/mlg/3 for notes and resources||2/9/2017||Free||View in iTunes|
||Clean002 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. ocdevel.com/mlg/2 for notes and resources||2/8/2017||Free||View in iTunes|
||Clean001 Introduction||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||1/31/2017||Free||View in iTunes|
Machine Learning Guide reveiw
Tyler's podcast is like a friend explaining ML to you. It is not like someone reading a script, and it is not like someone throwing a bunch of "jargon" at you. Tyler defines and explains the BIG words, in plain english. Please keep going Tyler!
Community college student friendly
As a community college student and cognitive science major, I wanted to learn more about ML but it was really hard to find understandable explanations without the technical and foreign language. English is also my second language, so you can imagine how hard it can be to learn this stuff already. I love love love Tyler’s explanations of every single term because it makes it really easy to retain and remember. More importantly, I find the repetition of definitions over and over amazing, as well as the review at the end of each podcast very useful. I kind of feel that Tyler is playing with my memory drawers and checking if I actually archived the information. Tyler, thank you so much for putting the time, effort, and neurons into such amazing series of podcast.
Awesome podcast, very well put together and easy to understand, great real world examples. I feel like I am learning a lot with just audio!