Thread by @CristiVlad25

How to get started with machine learning: From 0 to Engineer.

(thread)

1. Math - via @khanacademy

Use these resources (all links in the last tweet):

- Khan Academy - Multivariable Calculus
- Khan Academy - Differential Equations
- Khan Academy - Linear Algebra
- Khan Academy - Statistics Probability

2. Learn Python - via @freeCodeCamp

- Learn Python: Full Course For Beginners
- Intermediate Python: Programming Course

3. Learn the ML Tech Stack - via @patloeber and @keithgalli

- Numpy: Crash Course
- Pandas: Complete Python Pandas Data Science
- Matplotlib: Matplotlib Crash Course

4. Machine Learning Courses - via @AndrewYNg, @coursera and @patloeber

- Machine Learning Specialization
- Machine Learning From Scratch

5. Hands-on Data Preparation - via @kaggle

- Kaggle Intro to Machine Learning
- Kaggle Intermediate Machine Learning

6. Practise!

Solve Challenges and build your own projects with datasets from @kaggle

7. Specialize & Create Blogs

- Specialize in one field (e.g. Computer Vision, NLP, etc.)
- Look at the requirements in corresponding job descriptions and learn those skills

Tip: Create a blog and share tutorials and what you have learned!

8. Books - via @aureliengeron and @rasbt

- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
- Machine Learning with PyTorch and Scikit-Learn

9. Find all the links for each of these resources in this GitHub repo by the folks at @AssemblyAI

github.com/AssemblyAI-Exa…

10. Am I missing something? Comment below with the resources that helped you get into the machine learning field.

#machinelearning #ai #gpt3 #chatgpt #nlp #python #tensorflow #pytorch #neverstoplearning