Below are the learnings from eMasters Data Science for Decision Making – IIT Gandhinagar – Part 1. This needs to be an article in itself. You can find more details here about eDSDM here: e-Masters | IITGNX There is Mathematics for your AIML problem in feature engineering, preprocessing, evaluation metrics, models, errors, etc. and so…… Continue reading Learnings from eMasters Data Science for Decision Making – IIT Gandhinagar – Part 1
Category: Analytics
Short list of good courses / links / books on Mathematics, Operating Systems and AIML / ChatGPT – Part 1
Here is a short list of good courses / links / books on Mathematics, Operating Systems and AIML / ChatGPT – Part 1: Machine Learning Foundations: Linear Algebra Online Class | LinkedIn Learning, formerly Lynda.com Programming Foundations: Numerical Mathematics and Calculations Online Class | LinkedIn Learning, formerly Lynda.com Machine Learning Foundations: Calculus Online Class |…… Continue reading Short list of good courses / links / books on Mathematics, Operating Systems and AIML / ChatGPT – Part 1
Management outcomes for departmental analytics – Part 1
What could be the outcomes for various departments in an organization in terms of using analytics? Here is part 1 for the same. Background and context: Most organizations struggle at some point of time in their lifecycle for management outcomes and as per the latest trends try to use analytics to assist in better decision making.…… Continue reading Management outcomes for departmental analytics – Part 1
Four waves of Artificial Intelligence & Machine Learning
While teaching students in two different courses (AIML & “Data Science and Analysis”), there was a requirement to categorize historical AI & ML along with it’s interface with Data Science. To start: AI is the superset, ML is a subset of AI, Neural Networks (Deep Learning) are specialized subsets of ML. Below is a categorization…… Continue reading Four waves of Artificial Intelligence & Machine Learning
Building data models that everyone can understand and more importantly believe
Building data models that everyone can understand and more importantly believe. Faculty Article – Author: Mr. Balakrishnan Unny & Mr. Neil Harwani. Thank you Sapience – IMNU’s (Nirma University) Alumni Newsletter for publishing our article in Changing Times 2.0 (A Special Edition). Sapience-2.0Download
Data Analysis Process in Analytics / Data Science
This article is based on understanding from Wikipedia article on Data Analysis & my experiences in Data Science / Analytics / AI / ML – https://en.wikipedia.org/wiki/Data_analysis Various areas like Data Mining, Predictive Analysis, Exploratory Data Analysis, Text Analytics, Business Intelligence, Confirmatory Data Analysis and Data Visualization overlap with this area Before starting your journey on solving an industry…… Continue reading Data Analysis Process in Analytics / Data Science
What are we doing in AI / ML / Data Science / Decision Science / Analytics World? – Glossary
Over the last few years I have explored, programmed, worked in, researched and taught Data Science / AI / ML / Analytics / Decision Science to multiple students and with many software professionals. I have collected many keywords that you can google and explore. This will help you to keep pace and learn about things…… Continue reading What are we doing in AI / ML / Data Science / Decision Science / Analytics World? – Glossary
Three waves of Analytics – Notes on articles by Prof. Davenport
References: Analytics 3.0How Analytics Has Changed in the Last 10 Years (and How It’s Stayed the Same) ANALYTICS 1.0 – Business Intelligence, RDBMS & Data Warehousing Vertical scalingBetter results and analysis meant higher processing power & memoryComplex systemsChances of singular failureBackup was compulsoryStorage in RDBMSTransformation in business dimensions and facts in Data WarehouseDescriptive analytics mainly…… Continue reading Three waves of Analytics – Notes on articles by Prof. Davenport
What should be the subjects & course structure for teaching Data Analytics / Data Science in MBA?
Data Science & Analytics including Operations / Decision Science are evolving fields which are in demand currently for various reasons. Most companies are experimenting and creating projects / products around analytics / data science. I am listing the subjects & courses that an MBA student should take to cover Data Science / Analytics: Mathematics —…… Continue reading What should be the subjects & course structure for teaching Data Analytics / Data Science in MBA?
How to solve a machine learning problem ? – 1
Select a language like for example either of R or Python Select a machine learning package to use and associated data manipulation, charting, output, etc. packages Get and explore the data using techniques like Exploratory Data Analysis for an initial understanding of data and some inferences Break your original data set into training set…… Continue reading How to solve a machine learning problem ? – 1