In Big Data, It’s Not the Volume that’s Important, It’s the Granularity
In many of my presentations and lectures, I have made the following declaration: In Big Data, it isn’t the volume of data that’s interesting, it’s the granularity; ...
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IoT and Smart Classes
As we live through the ever-changing world, education is the sphere that remains surprisingly behind the general rapid advancement. The WEF Future of Jobs Report 2018 sta...
Astonishing Hierarchy of Machine Learning Needs
This article was written by V Sharma. Astonishing Hierarchy of Machine Learning Needs – Artificial intelligence and machine learning are used interchangeably often ...
8 Tips to Build an Interactive Chatbot
Chatbots have emerged as one of the most significant innovations of the last decade. After initial struggles, chatbots are now readily used by businesses. Various advanta...
ROC Curve Explained in One Picture
With a ROC curve, you’re trying to find a good model that optimizes the trade off between the False Positive Rate (FPR) and True Positive Rate (TPR). What counts...
Infographic: The Typical Data Scientist Profile in 2019
This infographic was produced by 365DataScience. Last year they completed a research on 1,001 data scientists to get a profile of the ‘typical’ data scientist in 201...
20 Handbooks on Modern Statistical Methods
With the two most recent ones, in this CRC series, published in January 2019. The objective of the series is to provide high-quality volumes covering the state-of-the-a...
The Math Required for Machine Learning
This article was written by Harsh Sikka. This version is a summary of the original article. Start with Mathematics for Machine Learning Specialization on Coursera. If...
Automated Machine Learning Hyperparameter Tuning in Python
This article was written by Will Koehrsen. Full title: Automated Machine Learning Hyperparameter Tuning in Python – A complete walk through using Bayesian optimiza...
Can an ethical and algorithmically transparent cloud kitchen prevent future Amazon fires?
Can an ethical and algorithmically transparent cloud kitchen prevent future Amazon fires? We often view AI with suspicion – but AI can be used to solve complex problems...