(7 Chapters) Gentle introduction to data science and machine learning. We start with a bird's-eye-view of the entire ML workflow and then walk you through exploring your dataset, cleaning it, engineering features, choosing the best ML algorithm, and of co... (more…)

Hiring Data Scientists and Machine Learning Engineers is a concise, practical guide to help you hire the right people for your organization. The book will help you navigate the plethora of data science related roles and skills and help you create an effec... (more…)

Building a quality machine learning model for text classification can be a challenging process. You need to build a training dataset, test different parameters for your model, fix the confusions, among other things. On this post, we will describe the pro...

Your guide to getting started and getting good at applied machine learning with Machine Learning Mastery.

This Quickstart shows how to create Azure Machine Learning resources, and how to install Azure Machine Learning Workbench. (more…)