Table of Contents
What are some of the best research papers books for Machine Learning?
10 Best Machine Learning Textbooks that All Data Scientists…
- Deep Learning.
- Artificial Intelligence: A Modern Approach.
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
- The Hundred-Page Machine Learning Book.
- Pattern Recognition and Machine Learning.
- Applied Predictive Modeling.
How do you read a Machine Learning research paper?
How to read one paper
- Don’t start from the first page and finish at last one.
- Read it in multiple passes.
- Read the title, abstracts, figures, experiments.
- Go through conclusion, Figures and skip the rest.
- Read the rest but skip the math.
- Read whole but skip the parts that don’t make sense.
Where can I read Machine Learning papers?
Below are examples of resources that will assist you in your search for pertinent information.
- The Machine Learning Subreddit.
- The Deep Learning Subreddit.
- PapersWithCode.
- Top conferences such as NIPS, ICML, ICLR.
- Research Gate.
Which book is best for machine learning beginners?
Best Machine Learning Books for Beginners
- Machine Learning For Absolute Beginners: A Plain English Introduction (2nd Edition)
- Machine Learning (in Python and R) For Dummies (1st Edition)
- Machine Learning for Hackers: Case Studies and Algorithms to Get You Started (1st Edition)
Why you should read research papers?
Researchers must read papers for several reasons: to re- view them for a conference or a class, to keep current in their field, or for a literature survey of a new field. A typi- cal researcher will likely spend hundreds of hours every year reading papers.
How you should read research papers?
Step-by-Step Instructions for Reading a Primary Research Article
- Begin by reading the introduction, not the abstract.
- Identify the big question.
- Summarize the background in five sentences or less.
- Identify the specific question(s).
- Identify the approach.
- Read the methods section.
- Read the results section.