Benjamin Obi Tayo, Ph.D.

Benjamin Obi Tayo, Ph.D. is a Physicist, Data Science Educator, and Writer, as well as the Owner of DataScienceHub. Previously, Benjamin was teaching Engineering and Physics at U. of Central Oklahoma, Grand Canyon U., and Pittsburgh State U.

ChatGPT for Beginners

By Benjamin Obi Tayo, Ph.D., KDnuggets on February 3, 2023 in Natural Language Processing
List of best crash courses for ChatGPT.
An Introduction to Markov Chains

By Benjamin Obi Tayo, Ph.D., KDnuggets on January 26, 2023 in Machine Learning
Markov chains are often used to model systems that exhibit memoryless behavior, where the system's future behavior is not influenced by its past behavior.
7 Best Libraries for Machine Learning Explained

By Benjamin Obi Tayo, Ph.D., KDnuggets on January 24, 2023 in Machine Learning
Learn about machine learning libraries for building and deploying machine learning models.
Things Aren’t Always Normal: Some of the “Other” Distributions

By Benjamin Obi Tayo, Ph.D., KDnuggets on January 18, 2023 in Data Science
Learn about Gamma, Beta, and Bernoulli distributions with Python.
Performing a T-Test in Python

By Benjamin Obi Tayo, Ph.D., KDnuggets on January 10, 2023 in Data Science
An introduction to the t-test with python implementation.
Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

By Benjamin Obi Tayo, Ph.D., KDnuggets on December 30, 2022 in Career Advice
Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.
Free Intermediate Python Programming Crash Course

By Benjamin Obi Tayo, Ph.D., KDnuggets on December 13, 2022 in Python
Master the basics of python with this free crash course.
How Much Math Do You Need in Data Science?

By Benjamin Obi Tayo, Ph.D., KDnuggets on November 23, 2022 in Data Science
There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.
Matrix Multiplication for Data Science (or Machine Learning)

By Benjamin Obi Tayo, Ph.D., KDnuggets on November 11, 2022 in Data Science
Learn the math behind matrix multiplication for data science and machine learning with code examples.
Type I and Type II Errors: What’s the Difference?

By Benjamin Obi Tayo, Ph.D., KDnuggets on August 19, 2022 in Data Science
Looking to sort out the difference between Type I and Type II errors? Read on for more.

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Benjamin Obi Tayo, Ph.D.

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