Aspiring or professional data scientist, you know all too well the vast number of SQL commands, algorithms, Excel functions and Googling that go into your job. While the ones you use every day are committed to memory, there are probably times when you need to jump into a project that requires new tools, or a different application of your programming language of choice.
Enter: the ultimate compilation of data science cheat sheets. This is your go-to resource, allowing you to see the most common formulas and algorithms all in one place rather than sifting through pages of Google results for the answers you need.
These links will help speed up your programming and computing so you can move on to solving bigger problems. Read on to find the most useful reference guides for Python, SQL, machine learning and even linear algebra. When you need to copy/paste a line of Python or find the rules for multiplying matrices, we got you.
Machine Learning
Machine Learning is transforming our world, and data scientists are driving that change. Our virtual assistants, Instagram algorithms and Google results all rely on machine learning. But there’s a lot of programming that goes into creating the machine learning models that consumers end up interacting with every day. It starts with enormous datasets and lots of clever programming.
For data scientists who focus on machine learning, or analysts who are studying up to enter this growing field, these quick reference tools will be indispensable.
- Machine Learning Glossary
- Machine Learning Formulas
- Machine Learning Algorithms — Python and R
- TensorFlow
- Deep Learning
- Supervised Learning
- Unsupervised Learning
#data-science #machine-learning #cheatsheet #artificial-intelligence
