#### Category: Algorithms

Learn Algorithm used for data science.

### The Halley’s comet Data Scientist

The Halley’s comet Data Scientist Source – datasciencecentral.com Image source: Wikipedia Introduction This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated […]

### Thursday News: AI, Deep Learning, Books, Python, Stats, ML, CNN

Thursday News: AI, Deep Learning, Books, Python, Stats, ML, CNN Source – datasciencecentral.com Here is our selection of featured articles, resources, and forum questions posted since Monday: Resources AI and […]

### Intro to Data Science for Managers [Mindmap]

Intro to Data Science for Managers [Mindmap] Source – datasciencecentral.com Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now […]

### Learning Mathematics for Data Science

Learning Mathematics for Data Science Source – datasciencecentral.com I am halfway through my journey of being enough Mathematically literate to understand and work comfortably with Data Science books, posts, articles […]

### 29 Statistical Concepts Explained in Simple English – Part 3

29 Statistical Concepts Explained in Simple English – Part 3 Source – datasciencecentral.com This resource is part of a series on specific topics related to data science: regression, clustering, neural […]

### Thursday News: New AI Book, Stats, NLP, Python, Excel, Software Comparison

Thursday News: New AI Book, Stats, NLP, Python, Excel, Software Comparison Source – datasciencecentral.com Here is our selection of featured articles, forum questions / answers, and technical resources posted since […]

### Stop Worrying About Your Job—Human Beings are the Biggest Factor in Successful Analytics

Stop Worrying About Your Job—Human Beings are the Biggest Factor in Successful Analytics Source – datasciencecentral.com AI and machine learning have advanced rapidly over the past few years, and many […]

### The Power of Reframing and the Economics of Starting Pitching

The Power of Reframing and the Economics of Starting Pitching Source – datasciencecentral.com I’m a big fan of Woody Allen’s earlier movies such as “Bananas”, “Sleeper” and especially the award […]

### New Book: Enterprise AI – An Applications Perspective

New Book: Enterprise AI – An Applications Perspective Source – datasciencecentral.com Now published. Enterprise AI: An applications perspective takes a use case driven approach to understand the deployment of AI […]

### Clustering – Algorithms for Partitioning and Assignments

Clustering – Algorithms for Partitioning and Assignments Source – datasciencecentral.com K-means algorithm is a popular and efficient approach for clustering and classification of data. My first introduction to K-means algorithm […]

### Why do people with no experience want to become data scientists?

Why do people with no experience want to become data scientists? Source – datasciencecentral.com Below is my contrarian answer to one question recently posted on Quora. It depends on what […]

### Thursday News: Stats, Math, ML, Neural Nets, K-means, AI, Deep Learning, Python, Anomaly Detection

Thursday News: Stats, Math, ML, Neural Nets, K-means, AI, Deep Learning, Python, Anomaly Detection Source – datasciencecentral.com Here is our selection of featured articles and technical resources posted since Monday: […]

### Facial Recognition and its Applications

Facial Recognition and its Applications Source – datasciencecentral.com Facial Recognition Facial recognition technology was always a mythical concept that we thought could be a tool that could solve many of […]

### Anomaly/Outlier Detection using Local Outlier Factors

Anomaly/Outlier Detection using Local Outlier Factors Source – datasciencecentral.com Outliers are patterns in data that do not confirm to the expected behavior. While detecting such patterns are of prime importance […]

### The Math Behind Machine Learning

The Math Behind Machine Learning Source – datasciencecentral.com Let’s look at several techniques in machine learning and the math topics that are used in the process. In linear regression, we […]