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1
Intro
2
Machine Learning at Startups
3
Training Qualified Practitioners
4
Quant + Software Engineer Pair
5
Fellowship Progress
6
Delivering Real Results
7
ML Basic Guidelines
8
Important Model Characteristics
9
Jeremy Howard Cheatsheet
10
Transfer Learning
11
Vector Representation of Words
12
Natural Language Processing SOTA
13
RNN with Word Embedding
14
Select Partners
Description:
Explore applied machine learning for startups in this 32-minute conference talk by Arshak Navruzyan. Gain insights into training qualified practitioners, the importance of pairing quantitative experts with software engineers, and the progress of fellowship programs. Learn about delivering real results, essential ML guidelines, and crucial model characteristics. Discover Jeremy Howard's cheatsheet, transfer learning techniques, vector representation of words, and the state-of-the-art in Natural Language Processing. Understand the application of RNN with word embedding and the process of selecting partners in the ML startup ecosystem.

Applied Machine Learning for Startups - Arshak Navruzyan

Launchpad
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