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Machine Learning for Android App development Using ML Kit [Video] This course is for Android developers who want to try their hand at building a… Read More »Adding intelligent features to your Android apps – Video tutorial

What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a… Read More »Sentiment Analysis: Types, Tools, and Use Cases

Here are a few off-the-beaten-path problems at the intersection of computer science (algorithms), probability, statistical science, set theory, and number theory. While they can easily… Read More »Cool Problems in Probabilistic Number Theory and Set Theory

Data Mining There is an important distinction related to data mining. First the difference between mining the data to find patterns and build models, and… Read More »An Overview of Business Problems and Data Science Solutions — Part 2

It’s not a secret that containers technology (popularly known as dockers) is becoming one of the top choices in software projects [1], but What about… Read More »Big Data as a Service, get easily running a Cloudera Quickstart Image with Dockers in GCP

Something that has always troubled me with statistics is the pretense of certainty.  The conclusions – being closely associated with calculations – tend to be reached rapidly.  I… Read More »Challenge of Confirming Program Efficacy

You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and machine learning algorithms.… Read More »One Trillion Random Digits

This article was written by Tirthajyoti Sarkar. Below is a summary. The full article (accessible from link at the bottom) also features courses that you… Read More »Essential Math for Data Science