Fascinating New Results in the Theory of Rand

*Updated on March 24. See new sections on Fibonacci numbers* [3.2.(b)]*, comparing stochastic processes* [4.1.(b)]*, connection with Brownian motions* [4.1.(c)]*, new…*

Can an ethical and algorithmically transparen
# Background

**Can an ethical and…**

**The AI Edge Engineer: Extending the power of CI/CD to Edge devices using containers**

At the…

Blog The AI Edge Engineer: Extending the power of 2 Likes Free Book: Statistics -- New Foundations, TooThis book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data…

Blog Free Book: Statistics -- New Foundations, Too 11 Likes
Free book: The #dataengineering cookbook by A

I found an interesting, free book…

Blog Free book: The #dataengineering cookbook by A 1 Like How to learn the maths of Data Science usingThis post is a part of my forthcoming book on **Mathematical foundations of Data Science**.

In the previous blog, we saw how…

Blog How to learn the maths of Data Science using 1 Like State of #AI 2019 ReportI highly recommend the #StateofAI 2019…

Blog State of #AI 2019 Report 3 Likes
Why is it hard for AI to detect human bias?

Blog
Why is it hard for AI to detect human bias?
2 Likes
The Catch 22 problem holding back #AI applica

The Catch 22 problem holding back AI application…

Blog The Catch 22 problem holding back #AI applica 1 Like Free Book: Azure Machine Learning in a Weeken*By Ajit Jaokar and Ayse Mutlu. *

Exclusively for Data Science Central members, with free access. You can download this book (PDF) …

Blog Free Book: Azure Machine Learning in a Weeken 8 Likes How to learn the maths of Data Science usingThis post is a part of my forthcoming book on **Mathematical foundations of Data Science**.

In this post, we use the Perceptron algorithm to bridge the gap between high school…

Blog How to learn the maths of Data Science using 3 Likes
Gentle Approach to Linear Algebra, with Machi

This simple introduction to matrix theory offers a refreshing perspective on the subject. Using a basic concept that leads to a simple formula for the power of a matrix, we see how it can solve…

Blog Gentle Approach to Linear Algebra, with Machi 7 Likes The Mathematics of Forward and Back PropagatiUnderstanding the maths behind forward and back propagation is not very easy.

There are some very good – but also very technical explanations.

For example :…

Blog The Mathematics of Forward and Back Propagati 3 Likes
How will the Data Scientist’s job change thro
Blog
How will the Data Scientist’s job change thro
1 Like
Can AI detect emotions better than humans?
## Introduction

*“The…*

Learn #MachineLearning Coding Basics in a wee

For background to this post, please see…

Blog Learn #MachineLearning Coding Basics in a wee 12 Likes Importance of Hypothesis Testing in Quality M Blog Importance of Hypothesis Testing in Quality M 6 Likes
Learn #MachineLearning Coding Basics in a wee
Blog
Learn #MachineLearning Coding Basics in a wee
56 Likes
Advice to a fresh graduate for getting a job

After a recent webinar, I was asked about…

Blog Advice to a fresh graduate for getting a job 3 Likes The Mathematics of Data Science: Understandin

**Note:** This is a long post, but I kept it as a single post to maintain continuity of the thought flow

In this longish post, I have tried to explain Deep Learning…

Blog The Mathematics of Data Science: Understandin 10 Likes AI / Machine learning Cloud APIs: AWS – AzureMost of us start working with specific programming…

Blog AI / Machine learning Cloud APIs: AWS – Azure 3 Likes© 2020 TechTarget, Inc. Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions