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.
From Essential Natural Language Processing by Ekaterina Kochmar
From Practices of the Python Pro by Dane Hillard
This article covers
From Data Science Bookcamp by Leonard Apeltsin
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.
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.
From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina
From Object Design Style Guide by Matthias Noback
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
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.