A roadmap for Absolute Beginners:
Beginner
⭣ Learn fundamentals ➊
⭣ Working with table ➋
⭣ Working with data ➌
⭣ Querying the data ➍
⭣ Operators ➎
⭣ Functions ➏
⭣ Database objects ➐
⭣ Programming in SQL ➑
⭣ Users and Roles ➒
⭣ Advanced Concepts ➓
Pro
Jul 18 • 8 tweets • 7 min read
MIT's FREE Courses on AI & ML:
❯ 6.036 : Machine Learning
❯ 6.S191 : Deep Learning
❯ 6.034 : Artificial Intelligence
❯ 18.05 : Probability and Statistics
❯ 18.06 : Linear Algebra
❯ 18.S096 : Matrix Calculus
This is how you can be an EXPERT in 1 year:
0. Preliminary Steps
Before deciding to start, ensure you do these
⬩Know your final goal
⬩Set a target for spending daily 1 hour minimum.
⬩Research about Python ecosystem (libraries, frameworks, code editors).
P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing. And it took me ~1 year to finish. It may differ from person to person.
Jul 1 • 19 tweets • 3 min read
👩💻 Practice these 150+ Algorithms in
❍ C/C++
❍ Java
❍ Python
❍ JavaScript
Or, any language of your choice
Stay in top 5% of programmers.
➊ Arrays
➀ Creating an Array
➁ Iterate through Array
➂ Get an Element
➃ Search an Element
➄ Insert Element(s)
➅ Delete Element(s)
➆ Filter an Array
➇ Fetch a Sub-Array
➈ Merging Arrays
➉ Reverse Array
➀➀ Rotate Array
Jun 27 • 12 tweets • 7 min read
FREE FREE FREE
11 Python Books, Absolutely FREE 1. Machine Learning with Python
- AI & ML
- Deep Learning
- Data Science
- Mathematics 1. Understanding Machine Learning
- 449 pages
- This textbook introduces machine learning, and the algorithmic paradigms in a principled way.
- Ideal for students and non-expert readers in statistics, computer science, and mathematics.