Tag

python

A Pre-Trained Model that Fakes It until It Makes It

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article explores the use and capabilities of GANs, using a fictional (and inadvasible) example of aspiring art forgers.

Everything You Need to Get Started with NLP

From Essential Natural Language Processing by Ekaterina Kochmar

What Makes Code Extensible and Flexible?

From Practices of the Python Pro by Dane Hillard

This article covers

  • Using inversion of control to make code flexible
  • Using interfaces to make code extensible
  • Adding new features to your existing code

Improve Your Data Science Skills

From Data Science Bookcamp by Leonard Apeltsin

Namespacing with Python

From Practices of the Python Pro by Dane Hillard

The article explores the concept of namespaces and how Python uses them to help make code better.

Data Science and Bucatini all’Amatriciana

Six Questions for Jesse C. Daniel, author of Data Science with Python and Dask

Jesse Daniel is a software developer (Python, Scala, JavaScript, C#) who leads a team of data scientists at a media technology company. He has taught Python for Data Science at the University of Denver.

A New Approach to Deep Learning

From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina


slideshare-a-new-approach-to-deep-learning

A Style Guide for Object-Oriented Programming

From Object Design Style Guide by Matthias Noback


slideshare-a-style-guide-for-object-oriented-programming

Function Pipelines for Mapping Complex Transformations

From Mastering Large Datasets with Python by J.T. Wolohan

This article covers

· Using map to do complex data transformations

· Chaining together small functions into pipelines

· Applying these pipelines in parallel on large datasets

Neural Network Architectures

From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina

This article dives into neural network architectures and how get started implementing and using them.

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