1/ Interested in how Deep Learning and AI is impacting a 50-year old grand challenge in biology (protein structure folding)?
See this thread ππ§΅π #deeplearning#AI#biology#bioinformatics
2/ Deepmind's Alphafold2 Solves Protein Structures (Part 1) #shorts
3/ Deepmind's Alphafold2 Solves Protein Structures (Part 2) #shorts
4/ AlphaFold 2 Paper with Code
5/ AlphaFold 2 Learns the Entire Human Proteome (AlphaFold Protein Structure Database)
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2/ Why Do We Need Pandas?
The Pandas library has a large set of features that will allow you to perform tasks from the first intake of raw data, its cleaning and transformation to the final curated form in order to validate hypothesis testing and machine learning model building.
3/ Basics of Pandas - 1. Pandas Objects
Pandas allows us to work with tabular datasets. The basic data structures of Pandas that consists of 3 types: Series, DataFrame and DataFrameIndex. The first 2 are data structures while the latter serves as a point of reference.
1/ #MachineLearning Crash Course by Google
- Free course
- Learn and apply fundamental machine learning concepts
- 30+ exercises
- 25 lessons
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- Real-world case studies
- Explainers of ML algorithms