Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

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 ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Google Colab is a free online tool from Google that lets you write and run Python code directly in your browser.

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 to ...

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TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...

Open-source programming language Python has become one of the few languages that won't disappear anytime soon. It's the top or one of the top two languages in most notable language popularity indexes, ...