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Image by Benjamin O. Tayo

Data Science, Mathematics

How Much Math do I need in Data Science?

Math skills are essential in data science and machine learning

Benjamin Obi Tayo Ph.D.
Jun 1 · 4 min read

I. Introduction

II. Case Study: Building A Multiple Regression Model

III. Essential Math Skills for Data Science and Machine Learning

1. Statistics and Probability

2. Multivariable Calculus

3. Linear Algebra

4. Optimization Methods

IV. Summary and Conclusion

V. References

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Benjamin Obi Tayo Ph.D.

Written by

Physicist, Data Science Educator, Writer. Interests: Data Science, Machine Learning, AI, Python & R, Predictive Analytics, Materials Sciences, Biophysics

Towards AI — Multidisciplinary Science Journal

Towards AI is a world’s leading multidisciplinary science publication. Towards AI publishes the best of tech, science, and engineering. Read by thought-leaders and decision-makers around the world.

Benjamin Obi Tayo Ph.D.

Written by

Physicist, Data Science Educator, Writer. Interests: Data Science, Machine Learning, AI, Python & R, Predictive Analytics, Materials Sciences, Biophysics

Towards AI — Multidisciplinary Science Journal

Towards AI is a world’s leading multidisciplinary science publication. Towards AI publishes the best of tech, science, and engineering. Read by thought-leaders and decision-makers around the world.

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