We found 18 results containing at least one keyword for "Machine Learning".
Apache Spark in Python: Beginner's Guide
A beginner's guide to Spark in Python based on 9 popular questions, such as how to install PySpark in Jupyter Notebook, best practices,...
DataChats: An Interview with Andreas Müller
Today we're releasing episode 15 of DataChats. Here, Hugo interviews Andreas Müller about his work at Columbia University, and as a contri…
Deep Learning With Jupyter Notebooks In The Cloud
This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.
New Course: Supervised Learning with scikit-learn
New course on Supervised Learning with scikit-learn taught by Andreas Müller! Become a machine learning master with this course.
DataChats: An Interview with Ben Wilson
New DataChats episode - Interview with Ben Wilson
Scipy Tutorial: Vectors and Arrays (Linear Algebra)
A SciPy tutorial in which you'll learn the basics of linear algebra that you need for machine learning in Python, with a focus how to with…
Scikit-Learn Cheat Sheet: Python Machine Learning
A handy scikit-learn cheat sheet to machine learning with Python, including code examples.
Python Machine Learning: Scikit-Learn Tutorial
An easy-to-follow scikit-learn tutorial that will help you to get started with the Python machine learning.
3 Reasons to Learn Caret
R's most popular package for machine learning and predictive modeling is worth your attention