🔥Machine Learning Engineer Salary | How Much Do Machine Learning Engineer Make |Simplilearn

In this video on How much do machine learning engineer make ?, we engage in a brief conversation shedding light on the path to entering the realm of Machine Learning. Our guest, a Research Analyst in the field, shares valuable insights.
To venture into Machine Learning, one must first master programming languages such as Python or R. It's essential to grasp fundamental machine learning concepts and algorithms and apply them through practical projects and competitions, such as those found on Kaggle. Staying abreast of the latest research and advancements is key to continuous growth.
We also discuss the earning potential for newcomers. With the escalating demand in Machine Learning, freshers can expect an average annual salary of ₹10.1 Lakhs, with possibilities reaching up to ₹22 Lakhs per annum.
Ready to embark on your Machine Learning journey? Let's dive in and explore together!

[@PravendraBhadouriya-db5on]

i love his voice

[@RajatKrNigam]

Great , good wishes for you❤

[@ns7379]

Ok can you plz also tell us about the difference between a MLE and a Data Scientist?

[@boffinscitech6717]

What are the mathematical concepts one should learn to become a ML engineer...

[@SimplilearnOfficial]

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.

[@abhirajput8081]

Thanks for sharing this valuable information. Very helpful 👍

[@SimplilearnOfficial]

Glad it was helpful!