So where’s the math? Linear algebra, calculus or even statistics?
@RajatKrNigam6 ай бұрын
Great , good wishes for you❤
@abhirajput80816 ай бұрын
Thanks for sharing this valuable information. Very helpful 👍
@SimplilearnOfficial6 ай бұрын
Glad it was helpful!
@boffinscitech67176 ай бұрын
What are the mathematical concepts one should learn to become a ML engineer...
@SimplilearnOfficial6 ай бұрын
To become a proficient Machine Learning (ML) engineer, you need a strong foundation in key mathematical concepts. Focus on: Linear Algebra: Vectors, matrices, eigenvalues, and SVD. Calculus: Differentiation, partial derivatives, and integration. Probability and Statistics: Distributions, Bayesian probability, hypothesis testing, and descriptive statistics. Optimization: Gradient descent, convex optimization, and stochastic gradient descent. Discrete Mathematics: Combinatorics and graph theory. Information Theory: Entropy, mutual information, and KL divergence. These areas are critical for understanding and developing ML algorithms effectively.
@tusharshende91294 ай бұрын
@@SimplilearnOfficial what if when mathmatics nit strong like me but i am AI and ML student
@SujalChavda-r3x3 ай бұрын
Thanks for this valuable information
@SimplilearnOfficial3 ай бұрын
Glad it was helpful!
@msraza453 ай бұрын
Do we need to learn deep learning to become a ml engineer?
@PravendraBhadouriya-db5on6 ай бұрын
i love his voice
@ns73796 ай бұрын
Ok can you plz also tell us about the difference between a MLE and a Data Scientist?
@kakashi_vladivostok5 ай бұрын
ML is part of AI & data science has parts of ai, ml, deep learning