How to deal with learning plateau in CS?

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SUMMARY

The discussion focuses on overcoming a learning plateau in computer science. Key strategies include enrolling in quality courses, reading material aloud, and engaging in deliberate practice through coding exercises. Participants emphasize the importance of applying theoretical knowledge to practical problems, such as solving arithmetic equations with constraints using algorithmic approaches. Specific techniques like using FOR loops to explore digit combinations in problems are highlighted as effective methods for gaining insights and breaking through learning barriers.

PREREQUISITES
  • Understanding of algorithm design and implementation
  • Familiarity with programming languages (e.g., Python, Java)
  • Knowledge of machine learning problem-solving techniques
  • Experience with coding exercises and challenges
NEXT STEPS
  • Explore online platforms for quality computer science courses (e.g., Coursera, edX)
  • Practice coding problems on platforms like LeetCode or HackerRank
  • Study the concept of deliberate practice in skill acquisition
  • Learn about constraint satisfaction problems in algorithm design
USEFUL FOR

Students, software developers, and anyone facing challenges in advancing their computer science skills will benefit from this discussion.

shivajikobardan
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Summary:: learning plateau

I have reached a place where I can no more learn new concepts. I feel totally stuck.How do I deal with learning plateau? How do I overcome this plateau. Few things that come in my mind-:

1) Follow a good course from a good teacher.

2) Read it aloud.

3) Practice the same thing multiple things to get insights. deliberate practice

What else can I do to overcome this learning plateau? These are the types of questions I need to deal with and where I am facing this learning plateau..
 
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I suggest that you write some code.
 
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Many ML problems rely on on search methods to find an answer. Look at the questions, think of how you would solve it on paper and then try to implement an algorithm to solve.

As an example, problem 2 asks you to find a solution to a arithmetic equation where letters represent digits. The first thing to note is that LOG letters/digits are found on both sides and so are the constraints you need to keep in mind. The second fact is that L, O, and G and the other letters represent different digits.

From there you can construct, FOR loops for L, O, and G to search for possible digit combinations while varying the I, C, P, and R choices.

2*(10000*L + 1000*O + 100*G + 10*I + C) = 100000*P + 10000*R + 1000*O + 100*L + 10*O + G

This is only a first attack then you might notice some optimizations you can apply to speed up the search like maybe P and L can't be zero. Not during the nested FOR loops would L equal O or G so when that happens you can skip that iteration.
 
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