Published Mar 18, 2022

SDS 558: @JonKrohnLearns's Answers to Questions on Machine Learning

Join Jon Krohn as he unpacks his methodology for creating accessible machine learning curricula, explores deep learning's transformative role in HR through automation and job matching, and provides expert insights on selecting the best deep learning software, with a focus on Pytorch Lightning's efficiency.

Episode Highlights

Topics covered

Popular Clips

Episode Highlights

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Dexa/Super Data Science: ML & AI Podcast with Jon Krohn

SDS 558: @JonKrohnLearns's Answers to Questions on Machine Learning

Topics covered

Popular Clips

Choosing ML Libraries

Deep Learning Libraries

Natural Language Understanding

Deep Learning Applications

Episode Highlights

Machine Learning Insights

Deep Learning Applications

ML Software Choices

Related Episodes

SDS 554: @JonKrohnLearns's Deep Learning Courses

SDS 464: A.I. vs Machine Learning vs Deep Learning — with Jon Krohn

SDS 556: @JonKrohnLearns's Machine Learning Courses

SDS 446: Getting Started in Machine Learning — with Jon Krohn

SDS 506: Supervised vs Unsupervised Learning — with Jon Krohn

SDS 510: Deep Reinforcement Learning — with Jon Krohn

SDS 474: The Machine Learning House — with Jon Krohn

SDS 470: My Favorite Books — with Jon Krohn

SDS 469: Learning Deep Learning Together — with Konrad Körding

SDS 578: Identifying Commercial ML Problems — with Jon Krohn

SDS 448: How to be a Data Science Leader — with Jon Krohn

SDS 599: MLOps: Machine Learning Operations — with @Miki_ML

SDS 584: OpenAI Codex — with Jon Krohn

SDS 439: Deep Learning for Machine Vision — with Deblina Bhattacharjee

SDS 444: Future-Proofing Your Career — with Jon Krohn

SDS 558: @JonKrohnLearns's Answers to Questions on Machine Learning

Topics covered

Popular Clips

Episode Highlights

Machine Learning InsightsJon Krohn discusses his motivation and strategy behind creating specialized curricula in machine learning and deep learning. He highlights his educational philosophy of making these advanced topics accessible to novices through visual and hands-on methods.

Machine Learning Insights

Deep Learning ApplicationsJon Krohn delves into the use of deep learning for natural language processing in HR, showcasing its ability to automate workflows and enhance job matching. He also discusses his preferred software tools, emphasizing Pytorch Lightning for its scalability and ease of use.

Deep Learning Applications

ML Software ChoicesJon Krohn explores the strengths and weaknesses of popular deep learning libraries, PyTorch, TensorFlow, and Keras. He offers guidance on choosing the right library based on user needs and highlights the ease of transitioning between them.

ML Software Choices

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