avatarSuraj Jha

Summary

The website provides a curated list of five essential cheat sheets for data science professionals, covering a range of topics from deep learning to statistics.

Abstract

The article "Data Science Quick Wins: 5 Must-Have Cheat Sheets!" presents a collection of concise reference materials designed to aid data scientists and analysts in their work. Recognizing the complexity and breadth of data science, which encompasses mathematics, statistics, machine learning, artificial intelligence, and data analysis, the author emphasizes the utility of these cheat sheets for quick revision before technical interviews and competitive exams. The cheat sheets are authored by experts like Afshine Amidi, Shervine Amidi, Aaron Wan, and Maverick Lin, and include comprehensive topics such as convolutional and recurrent neural networks, supervised and unsupervised learning, and statistical analysis. The resources are freely available for download, with the aim of providing a quick reference to complex concepts and formulas, facilitating efficient learning and knowledge retention in the field of data science.

Opinions

  • The author believes that mastering data science is a continuous process and that cheat sheets are invaluable tools for both learning and revising complex concepts.
  • The article suggests that the provided cheat sheets are not only useful for experienced professionals but also for beginners who are struggling to grasp the basic concepts of data science.
  • The author expresses that these cheat sheets are beneficial for consolidating knowledge and can be used as a quick reference during technical interviews and competitive exams.
  • There is an emphasis on the visual and comparative approach used in the cheat sheets, which is thought to enhance understanding through real-life examples and concise summaries.
  • The article conveys a positive opinion about the accessibility of these resources, as they are freely available on platforms like GitHub, making them readily accessible to the data science community.

Data Science Quick Wins: 5 Must-Have Cheat Sheets!

Data Science Cheat Sheet with Download Links

It is impossible to learn or master data science in a month. It is a combination of math, statistics, machine learning, artificial intelligence, and data analysis.

Remembering all the concepts is not as easy as you think. So here we are sharing the top 5 cheat sheets for data scientists and data analysts.

These cheat sheets are valuable resources for revising data science concepts for technical interviews and competitive exams.

Here is a list of 5 must-have cheat sheets for data science.

Deep Learning Cheat Sheet

This cheat sheet covers all the important concepts of deep machine learning. It explains concepts through visual graphs and comparison tables.

There are 13 pages. The Deep Learning Cheat Sheet was officially created by Afshine Amidi and Shervine Amidi.

This cheat sheet covers the following topics in deep learning:

  1. Convolutional neural networks
  2. Recurrent neural networks
  3. Deep learning tips and tricks

Get Your Copy of Deep Learning Cheat Sheet for Free.

Machine Learning Cheat Sheet

This cheat sheet is dedicated to machine learning concepts with real-life examples and visual representations.

It contains the formula for each important topic for quick revision.

This cheat sheet was also created by Afshine Amidi and Shervine Amidi. You can download this cheat sheet from GitHub.

This cheat sheet covers the following topics in machine learning:

  1. Supervised learning
  2. Unsupervised learning
  3. Deep learning
  4. Machine learning tips and tricks
  5. Probability and statistics
  6. Linear algebra and calculus

Get this 16 page premium Cheat sheet of Machine Learning for Free.

Data Science Cheatsheet 2.0

It is the complete cheat sheet for data science. It not only covers topics around data science but also covers machine learning and deep learning.

It contains five pages. Aaron Wan created this data science cheat sheet and officially uploaded it to GitHub.

This cheat sheet covers the following topics in data science:

  1. Linear and logistic regression
  2. Decision trees and Random Forests
  3. SVM
  4. Nearest neighbours
  5. Clustering
  6. Dimensional Reduction (PCA, LDA, Factor Analysis)
  7. Natural language processing
  8. Neural networks
  9. Reinforcement learning
  10. Anomaly detection
  11. Time series

Get Your copy of Data Science Cheat Sheet 2.0 for Free

Data Science Ultimate Cheat Sheet

This cheat sheet is especially for beginners who struggle to understand the basic concepts of probability, statistics, machine learning, big data frameworks, and SQL.

Data Science Ultimate Cheat Sheet has 9 pages created by Maverick Lin and officially uploaded to GitHub.

This cheat sheet covers the following topics in data science:

  1. Probability Overview
  2. Descriptive statistics
  3. Feature Engineering
  4. Statistical analysis
  5. Classical Statistical Distribution
  6. Modelling — Overview
  7. Linear regression
  8. Distance/Network Methods
  9. Big Data: Hadoop

Get Your Copy of Data Science Ultimate Cheat Sheet for Free.

Probability & Statistics Cheat Sheet by Stanford

Stanford introduced this cheat sheet to strengthen the basics of probability and statistics. From basic to advanced, this cheat sheet covers all topics.

This cheat sheet covers the following topics in data science:

  1. Conditional probability
  2. Random variables
  3. Expectations and moments
  4. Probability distributions
  5. Joint random variables
  6. Hypothesis testing
  7. Regression analysis
  8. Correlation analysis

Get Your Copy of Probability & Statistics Cheat Sheet by Stanford for Free.

Conclusion

The cheat sheet keeps all the important concepts and formulas in one place. You can test your knowledge and revise your concepts anywhere you want.

I have listed all the cheat sheets that can benefit you as a data scientist.

This cheat sheet contains information about machine learning, deep learning, data science, data analysis, probability, and statistics.

I hope you find this helpful. Thanks for reading this story.

Cheatsheet
Data Science
Machine Learning
Deep Learning
Data Analysis
Recommended from ReadMedium
avatarParvez Shah Shaik
DataScience RoadMap for 2024

This article aims to guide you in building a strong portfolio showcasing your data science skills. It provides a framework, resources, and…

8 min read
avatarAbbas Ali
100 Days Of Data Science Challenge;

Excited😃 and a little bit scared😨.

3 min read
avatarNathan Rosidi
Top 10 Machine Learning Algorithms for Beginner Data Scientists

Let’s explore the machine learning algorithms perfect for beginners in data science. We’ll explain each one and show you how to use them…

19 min read
avatarWutichai Ta
My First Data Analyst Project (Portfolio) — Python: Sales Analysis

This is my first data analysis project using Python. It was the beginning of my journey into understanding and working with data. I’m…

5 min read
avatarBoris Meinardus
How He Went From Business Analyst to ML Engineer at Google

Here are 10 years of experience and knowledge in one post!

11 min read
avatarAdesua Ayomitan Donatus
Data Analyst Side Hustles: 5 Lucrative Opportunities You Can Start Today.

"Your side hustle is not just about making extra money; it’s a testament to your passion, resourcefulness, and commitment to creating a…

9 min read