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Bhoop singh Gurjar

AI Deep Explorer | f...ย โ€ขย 20d

The ultimate AI/ML roadmap for beginners ๐Ÿ‘‡ ๐— ๐—ฎ๐˜๐—ต๐˜€ What to learn: โ€ข Linear Algebra โ€ข Calculus โ€ข Statistics Resources: โ€ข Practical Statistics for Data Science( https://amzn.to/446czl5 ) โ€ข Mathematics for Machine Learning( https://amzn.to/441selL ) โ€ข Essence of Linear Algebra (3Blue1Brown) โ€ข Brilliant & Khan Academy ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป What to learn: โ€ข Native data structures (dictionaries, lists, sets, and tuples) โ€ข For and while loops โ€ข If-else conditional statements โ€ข Functions and classes โ€ข Numpy, Pandas, Sci-Kit Learn Resources: โ€ข W3Schools Python Course (free) โ€ข Python for Everybody Specialization (Coursera) โ€ข Machine Learning with Python and Scikit-Learnโ€Š-โ€ŠFull Course ๐——๐—ฎ๐˜๐—ฎ ๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—น๐—ด๐—ผ๐—ฟ๐—ถ๐˜๐—ต๐—บ๐˜€ What to learn: โ€ข Arrays & Linked Lists โ€ข Trees & Graphs โ€ข HashMaps, Queues & Stacks โ€ข Sorting & Searching Algorithms โ€ข Dynamic Programming Resources: โ€ข Neetcode.io โ€ข Leetcode โ€ข Hackerrank ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด What to learn: โ€ข Linear, logistic and polynomial regression โ€ข Decision trees, random forests and gradient-boosted trees โ€ข Support vector machines โ€ข K-means and K-nearest neighbour clustering โ€ข Feature engineering โ€ข Evaluation metrics โ€ข Regularisation, bias vs variance tradeoff and cross-validation Resources: โ€ข Machine Learning Specialisation by Andrew Ng โ€ข The Hundred-Page ML Book โ€ข Hands-On ML with Scikit-Learn, Keras, and TensorFlow ( https://amzn.to/4jCmP92) โ€ข The Elements of Statistical Learning ( https://amzn.to/44aTjTH ) ๐—”๐—œ ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ฒ๐—ฒ๐—ฝ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด What to learn: โ€ข Neural Networks โ€ข Convolutional and Recurrent Neural Networks โ€ข Transformers โ€ข RAG, Vector Databases, LLM Fine Tuning โ€ข Reinforcement Learning Resources: โ€ข Deep Learning Specialization by Andrew Ng โ€ข Introduction to LLMs by Andrej Karpathy โ€ข Neural Networks: Zero to Hero โ€ข Reinforcement Learning Courseโ€Š-โ€ŠLectures by David Silver ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€ What to learn: โ€ข Cloud technologies like AWS, GCP or Azure โ€ข Docker and Kubernetes โ€ข How to write production code โ€ข Git, CircleCI, Bash/Zsh Resources: โ€ข Practical MLOps (https://amzn.to/4iDPgCY ) โ€ข Designing Machine Learning Systems ( https://amzn.to/4iwZ2q5 )

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