5 SUPER CHEAT SHEETS TO MASTER DATA SCIENCE

The field of data science is expansive and encompasses data analytics, machine learning, and statistics. These concepts are sophisticated and require additional efforts to remember all the key pointers. This is where data science cheat sheets come in handy. It helps you keep all the concepts at your fingertips. Plus, you can always clarify your doubts quickly without having to go through lengthy books and PDFs.

?

1.Data Science Cheat Sheet

Link - Data-Science-Cheatsheet/data-science-cheatsheet.pdf

This 9-page data science cheat sheet serves as a perfect brief sheet for beginners who need a quick overview of data science, machine learning, and other related concepts.

?

2.Probability and Statistics Cheat Sheet

Link - https://stanford.edu/~shervine/teaching/cme-106/

This cheat sheet from Standford is perfect for quickly grasping the concepts of statistics and probability. The pdf is easy to understand and covers all the important terms and concepts in statistics. It covers concepts like random samples, estimators, the Central Limit Theorem, confidence intervals, hypothesis testing, regression analysis, correlation coefficients, and more.

?

3.Data Science Cheat Sheet by MIT

Link - https://github.com/aaronwangy/Data-Science-Cheatsheet

What could be better than a cheat sheet covering all the concepts of MIT’s machine learning courses?

If you are struggling to keep up with data science concepts and often get confused, this is the best resource for revisions. The pdf covers concepts worth the entire semester. So, you don’t have to look anywhere else. Topics include linear and logistic regression, decision trees, SVM, K-Nearest Neighbors, and more.

?

4.Machine Learning Cheat Sheet

Link - https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf

This quick reference guide summarizes essential principles extracted from Stanford's CS 229 Machine Learning course. It includes concise reviews of critical subjects such as Probabilities and Statistics, Algebra, and Calculus. Additionally, it provides comprehensive cheat sheets for various machine learning domains, making it an invaluable tool for individuals aiming to enhance their comprehension of machine learning. Whether you're an expert or a beginner, this resource serves as a handy reference for fundamental concepts.

?

5.Deep Learning Cheat Sheet

Link - https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/super-cheatsheet-deep-learning.pdf

Embark on a deep learning journey using the course materials from Stanford's CS 230. This resource offers extensive coverage of convolutional neural networks, recurrent neural networks, and practical insights for training deep learning models. It proves invaluable for those focusing on the deep learning aspect of data science, and the best part? It's entirely free!

?

Conclusion

Deepen your understanding of data science with these concise cheat sheets, offering a swift and effective review across diverse disciplines. Whether brushing up on fundamental statistics or delving into the intricacies of machine learning and deep learning, these references are essential for students, professionals, and enthusiasts alike. These cheat sheets will reinforce foundational concepts and keep you informed about the latest methodologies.

?

If you are into AI, LLMs, Digital Transformation, and the Tech world – do follow me on LinkedIn.

Stay tuned for my insightful articles every Monday

?