A Machine Learning approach to strategic market research and segmentation
Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge to make future de...
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17 Cool Problems with a Statistical Flavor
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Artificial Intelligence Era Requires New Approaches to Create AI Talent
We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon goi...
Supervised Learning – Everything You Need To Know
Supervised learning – A blessing we have in this machines era. It helps to depict inputs to outputs. It uses labelled training data to deduce a function which has set o...
Pattern Recognition Objects and the Internal Conception of Meaning
A candlestick chart is sometimes used by stock market technicians to make trading decisions. Each candlestick graphically depicts the following prices simultaneously: ...
Model Serving: Stream Processing vs. RPC / REST – A Deep Learning Example with TensorFlow and Kafka
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing...
7 Types of Regression Techniques you should know
This article was posted by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry. Introduction Lin...
Deep Learning Infrastructure for Extreme Scale with the Apache Kafka Open Source Ecosystem
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning...
AI with Pyramids of Self Programmable Gates
Guest blog post by David Enríquez Arriano. For more information or to get higher pictures resolution, contact the author (see contact information at the bottom of this a...
A “quick” introduction to PyMC3 and Bayesian models
A “quick” introduction to PyMC3 and Bayesian models, Part I In this post, I give a “brief”, practical introduction using a specific and hopefully relate-able exa...