Classification and Regression Trees
Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of… Read More »Classification and Regression Trees
Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of… Read More »Classification and Regression Trees
image source – wikipedia Update Hello all, The first book is posted on data science central here, and the community group is here. Please join the… Read More »Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI
This article is about Intuitive explanation of Degrees of Freedom and How Degrees of Freedom affects Sudoku. A lot of aspiring Data Scientists take courses on… Read More »Degrees of Freedom and Sudoku
Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the… Read More »The Challenges to Tackle Before You Start With AI
First days after the celebration of the New Year is the time when looking back we can analyze our actions, promises and draw conclusions whether… Read More »Top 10 Technology Trends of 2019
Diving into the many underlying trends throughout the entire 1.5 Billion rows of NYC Taxi data with Pivot Billion The age of data has arrived.… Read More »Taming 1.5 Billion Rows of "Big Apple” Data
When building applications that ingest a large amount of customer data sets, what is your preferred method of data transfer? Which APIs do you leverage… Read More »Data Acquisition
This article was written by Sondos Atwi. What is Cross-Validation? In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model… Read More »Cross-Validation: Concept and Example in R
Originally posted here. From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information that… Read More »Finding insights with graph analytics
Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications. … Read More »One Shot Learning and Other Strategies for Reducing Training Data