The Math Behind Machine Learning
Let’s look at several techniques in machine learning and the math topics that are used in the process. In linear regression, we try to find… Read More »The Math Behind Machine Learning
Let’s look at several techniques in machine learning and the math topics that are used in the process. In linear regression, we try to find… Read More »The Math Behind Machine Learning
By Michael Heilman, Civis Analytics scikit-learn is a wonderful tool for machine learning in Python, with great flexibility for implementing pipelines and running experiments (see, e.g., this Civis… Read More »Prediction at Scale with scikit-learn and PySpark Pandas UDFs
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This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python,… Read More »29 Statistical Concepts Explained in Simple English – Part 1
The work is done by Jatinder Singh (also co-authored this article) and Iresh Mishra. Also thanks to Saurabh Singh for his guidance. In past, I had written about how Machine… Read More »Using Semantic Segmentation to identify rooftops in low-resolution Satellite images: Use case of Machine Learning in Clean Energy sector
Summary: Even if you’re not big enough to have a full blown data science group that shouldn’t hold you back from benefiting from AI. The… Read More »The Case for Just Getting Your Feet Wet with AI
When I was a kid, I use to love “Paint by the Numbers” sets. Makes anyone who can paint or color between the lines a… Read More »Data Science “Paint by the Numbers” with the Hypothesis Development Canvas
This article was written by Lukasz Ciesla Neural networks, machine learning, artificial intelligence – I get the impression that these slogans attack us from everywhere. They… Read More »DL4J: How to create a neural network that draws images – Step by step guide