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Date	Combined Rank	Apple Podcasts
Oct 7	#161	#151

About the show

Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.

Latest episodes

MLG 013 Shallow Algos 2

April 9, 2017 · 56 min

Try a walking desk to stay healthy while you study or work! Full notes at ocdevel.com/mlg/13 Support Vector Machines (SVM) Purpose: Classification and regression. Mechanism: Establishes decision boundaries with maximum margin. Margin…
MLG 012 Shallow Algos 1

March 19, 2017 · 54 min

Try a walking desk to stay healthy while you study or work! Full notes at ocdevel.com/mlg/12 Topics Shallow vs. Deep Learning: Shallow learning can often solve problems more efficiently in time and resources compared to deep learning…
MLG 010 Languages & Frameworks

March 7, 2017 · 45 min

Try a walking desk to stay healthy while you study or work! Full notes at ocdevel.com/mlg/10 Topics: Recommended Languages and Frameworks: Python and TensorFlow are top recommendations for machine learning. Python's versatile…
MLG 009 Deep Learning

March 4, 2017 · 51 min

Try a walking desk to stay healthy while you study or work! Full notes at ocdevel.com/mlg/9 Key Concepts: Deep Learning vs. Shallow Learning: Machine learning is broken down hierarchically into AI, ML, and subfields like…
MLG 008 Math for Machine Learning

February 23, 2017 · 28 min

Mathematics essential for machine learning includes linear algebra, statistics, and calculus, each serving distinct purposes: linear algebra handles data representation and computation, statistics underpins the algorithms and evaluation…
MLG 007 Logistic Regression

February 19, 2017 · 35 min

The logistic regression algorithm is used for classification tasks in supervised machine learning, distinguishing items by class (such as "expensive" or "not expensive") rather than predicting continuous numerical values. Logistic…
MLG 006 Certificates & Degrees

February 17, 2017 · 16 min

People interested in machine learning can choose between self-guided learning, online certification programs such as MOOCs, accredited university degrees, and doctoral research, with industry acceptance and personal goals influencing which…
MLG 005 Linear Regression

February 16, 2017 · 35 min

Linear regression is introduced as the foundational supervised learning algorithm for predicting continuous numeric values, using cost estimation of Portland houses as an example. The episode explains the three-step process of machine…