Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language. Developer It's the end of ...

There are many open-source machine learning libraries for Python, including TensorFlow, PyTorch, Scikit-learn, Keras, and Theano. These libraries are free to use and have a large community of ...

Active Machine Learning with Python, published by Packt - PacktPublishing/Active ... Notifications You must be signed in to change notification settings; Fork 5; Star 11. Active ... With a background ...

Develop an API for real-time machine learning inference; Who this book is for. This book is for data scientists and machine learning engineers who have a background in machine learning, are practice ...

Using a well-known algorithm like this makes it easier to benchmark using a developer PC to build and test your own machine learning models. By using Miniconda as the foundation of a Python ...

Rapid discovery of novel prophages using biological feature engineering and machine learning - ku-cbd/PhageBoost. Skip to content. Navigation Menu Toggle navigation. ... Prophage predictor based on ...

TL;DR: Delve into machine learning with the Premium Machine Learning Artificial Intelligence Super Bundle, on sale for just $36.99 as of Sept. 14 — that's a 98% savings.

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...