Machine Learning Guide
En podcast av Dept
Kategorier:
42 Avsnitt
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MLA 021 Databricks
Publicerades: 2022-06-22 -
MLA 020 Kubeflow
Publicerades: 2022-01-29 -
MLA 019 DevOps
Publicerades: 2022-01-13 -
MLA 018 Descript
Publicerades: 2021-11-07 -
MLA 017 AWS Local Development
Publicerades: 2021-11-06 -
MLA 016 SageMaker 2
Publicerades: 2021-11-05 -
MLA 015 SageMaker 1
Publicerades: 2021-11-04 -
MLA 014 Machine Learning Server
Publicerades: 2021-01-18 -
MLA 013 Customer Facing Tech Stack
Publicerades: 2021-01-03 -
MLA 012 Docker
Publicerades: 2020-11-09 -
MLG 032 Cartesian Similarity Metrics
Publicerades: 2020-11-08 -
MLG 031 The Podcasts Return
Publicerades: 2020-10-28 -
030 New Series: Machine Learning Applied
Publicerades: 2018-05-24 -
029 Reinforcement Learning Intro
Publicerades: 2018-02-05 -
028 Hyperparameters 2
Publicerades: 2018-02-04 -
027 Hyperparameters 1
Publicerades: 2018-01-28 -
026 Project Bitcoin Trader
Publicerades: 2018-01-27 -
025 Convolutional Neural Networks
Publicerades: 2017-10-30 -
024 Tech Stack
Publicerades: 2017-10-07 -
023 Deep NLP 2
Publicerades: 2017-08-20
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.
