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.
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Full notes at ocdevel.com/mlg/18
Overview: Natural Language Processing (NLP) is a subfield of machine learning that focuses on enabling…
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At this point, browse #importance:essential on ocdevel.com/mlg/resources with the 45m/d ML, 15m/d Math breakdown.
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Full notes at ocdevel.com/mlg/16
Inspiration in AI DevelopmentEarly inspirations for AI development centered around solving challengin…
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Full notes at ocdevel.com/mlg/15
ConceptsTry a walking desk to stay healthy while you study or work!
Full notes at ocdevel.com/mlg/14
Anomaly Detection SystemsTry a walking desk to stay healthy while you study or work!
Full notes at ocdevel.com/mlg/13
Support Vector Machines (SVM)Try a walking desk to stay healthy while you study or work!
Full notes at ocdevel.com/mlg/12
TopicsShallow vs. Deep Learning: Shallow learning can often solve problems more efficiently in time …
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Full notes at ocdevel.com/mlg/10
Topics:Recommended Languages and Frameworks:
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Full notes at ocdevel.com/mlg/9
Key Concepts:
Mathematics essential for machine learning includes linear algebra, statistics, and calculus, each serving distinct purposes: linear algebra handles data representation and computation, statistics un…
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 contin…
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 accepta…
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 explain…
Machine learning consists of three steps: prediction, error evaluation, and learning, implemented by training algorithms on large datasets to build models that can make decisions or classifications. …
AI is rapidly transforming both creative and knowledge-based professions, prompting debates on economic disruption, the future of work, the singularity, consciousness, and the potential risks associa…
Artificial intelligence is the automation of tasks that require human intelligence, encompassing fields like natural language processing, perception, planning, and robotics, with machine learning eme…
Show notes: ocdevel.com/mlg/1. MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages, frameworks, etc. Where your other ML resourc…