Data Science: Do We Really Need Math?


It is sometimes said that you don’t need to know math to be a data scientist. Sometimes the opposite is said, after all, data science is supposed to be a science! Regardless, below are a few of my articles featuring how data science and math can benefit from each other – not just math to solve data science problems, but also data science to solve math problems.

Articles

  • Variance, Attractors and Behavior of Chaotic Statistical Systems
  • New Family of Generalized Gaussian Distributions
  • Gentle Approach to Linear Algebra, with Machine Learning Applications
  • Confidence Intervals Without Pain
  • Re-sampling: Amazing Results and Applications
  • New Perspectives on Statistical Distributions and Deep Learning
  • Long-range Correlations in Time Series: Modeling, Testing, Case Study
  • New Perspective on the Central Limit Theorem and Statistical Testing
  • How to Lie with P-values
  • A Strange Family of Statistical Distributions
  • Six Degrees of Separation Between Any Two Data Sets

References

  • Book: Statistics: New Foundations, Toolbox, and Machine Learning Recipes
  • Book: Applied Stochastic Processes
  • Comprehensive Repository of Data Science and ML Resources

Enjoy the reading!



Reference: Source link

Sr. SDET M Mehedi Zaman

Currently working as Sr. SDET at Robi Axiata Limited, a subsidiary of Axiata Group. As a Senior SDET: - Played a key role in introducing Agile Scrum methodology and implementing CI/CD pipeline to ensure quality & timely delivery. - Trained colleagues on emerging technologies, e.g. Apache Spark, Big Data, Hadoop, Internet of Things, Cloud Computing, AR, Video Streaming Services Technology, Blockchain, Data Science- Developed a test automation framework for Android and iOS apps - Developed an e2e web automation framework with Pytest - Performed penetration testing of enterprise solutions to ensure security and high availability using Kali, Burp Suite etc. - Learned Gauntlet security testing automation framework and shared the lesson learned in a knowledge sharing session

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