Approaching (Almost) Any Machine Learning Problem

Released on by Abhishek Thakur
preview-18

  • Approaching (Almost) Any Machine Learning Problem Book Detail

  • Author : Abhishek Thakur
  • Release Date : 2020-07-04
  • Publisher : Abhishek Thakur
  • Genre : Computers
  • Pages : 300
  • ISBN 13 : 8269211508
  • File Size : 61,61 MB
DOWNLOAD BOOK

Approaching (Almost) Any Machine Learning Problem by Abhishek Thakur PDF Summary

Book Description: This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesub

Disclaimer: www.yourbookbest.com does not own Approaching (Almost) Any Machine Learning Problem books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Grokking Deep Learning

Grokking Deep Learning

File Size : 43,43 MB
Total View : 5390 Views
DOWNLOAD

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Tras

Understanding Machine Learning

Understanding Machine Learning

File Size : 49,49 MB
Total View : 2882 Views
DOWNLOAD

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei

Python Deep Learning

Python Deep Learning

File Size : 86,86 MB
Total View : 6640 Views
DOWNLOAD

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book Explore and create intellig

Graph Representation Learning

Graph Representation Learning

File Size : 43,43 MB
Total View : 8548 Views
DOWNLOAD

Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational induct