Download Machine Learning Yearning PDF
Machine Learning Yearning
Picture Of The Book:
Machine Learning Yearning
About The Book:
This book is composed for those applicants who wish to gain proficiency with the specialized usage procedure of AI. This book centers basically around all ideas of "AI" with this present reality, at the undertaking level, and best practices for the usage and utilization of creation administrations.
Contents Of The Book:
Chapter 1: Why Machine Learning Strategy.
Chapter 2: How to use this book to help your team.
Chapter 3: Prerequisites and Notation.
Chapter 4: Scale drives machine learning progress.
Chapter 5: Your development and test sets.
Chapter 6: Your dev and test sets should come from the same distribution.
Chapter 7: How large do the dev/test sets need to be?
Chapter 8: Establish a single-number evaluation metric for your team to optimize.
Chapter 9: Optimizing and satisficing metrics.
Chapter 10: Having a dev set and metric speeds up iterations.
Chapter 11: When to change dev/test sets and metrics.
Chapter 12: Takeaways: Setting up development and test sets.
Chapter 13: Build your first system quickly, then iterate.
Chapter 14: Error analysis: Look at dev set examples to evaluate ideas.
Chapter 15: Evaluating multiple ideas in parallel during error analysis.
Chapter 16: Cleaning up mislabeled dev and test set examples.
Chapter 17: If you have a large dev set, split it into two subsets, only one of which you look at.
Chapter 18: How big should the Eyeball and Blackbox dev sets be?
Chapter 19: Takeaways: Basic error analysis.
Chapter 20: Bias and Variance: The two big sources of error.
Information About The Book:
Title: Machine Learning Yearning: Technical Strategy for AI Engineers, In the Era of Deep Learning.
Language: English.
Size: 4.14 Mb.
Pages: 118.
Format: PDF
Year: 2018.
Edition: 1.
Author: Andrew NG.