K-means algorithm is a popular and efficient approach for clustering and classification of data. My first introduction to K-means algorithm was when I was conducting… Read More »Clustering – Algorithms for Partitioning and Assignments
Systems integration is an increasingly utilized process that companies are realising the value of within their business. The process involves taking disparate systems are making… Read More »An Overview Of The Steps Required For A Successful System Integration
An article by A.H.Abdulrahman, J. M. Luna, 2 M. A. Vallejo 3 and S. Ventura with the title “Evaluation and comparison of open source software… Read More »Evaluation and comparison of open source software suites for data mining and knowledge discovery
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 »25 Statistical Concepts Explained in Simple English – Part 2
For those who follow the stock market, October’s been a pretty rough month, with overall market levels, as measured by major indexes such as the… Read More »POTUS and the Stock Market
Summary: Digital Decisioning Platforms is a new segment identified by Forrester that marries Business Process Automation, Business Rules Management, and Advanced Analytics. For platform developers… Read More »Digital Decisioning Platforms – A New Way to Slice the Pie
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
