Approaching (Almost) Any Machine Learning Problem PDF

Approaching (Almost) Any Machine Learning Problem PDF
Approaching (Almost) Any Machine Learning Problem PDF
eBook: Approaching (Almost) Any Machine Learning Problem PDF by Abhisek Thakur

You can view or open this ebook below:

About This Premium eBook:

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

Most Downloaded Ebooks:
Machine Learning Ebooks
June 27, 2021
0

Comments

Search Any eBook

Request New eBook!