Manikanda - Electrical engineering tutor - Chennai

1^st lesson free

Manikanda

5 (1 review)

Rate R254
Response 1h

5 (1 review)

R254/h

1^st lesson free

Electrical Engineering
Electronics

IITian Silver Medalist and ML/CV researcher teaching signal and image processing, control and machine learning with relevant mathematical and programming foundations.

Electrical Engineering
Electronics

Lesson location

- online

About Manikanda

I hold an M.Tech in Data Science from IIT Hyderabad, where I graduated as a Silver Medalist, and a B.Tech in Electronics Engineering from IIT (BHU) Varanasi.

I have over 10 years of industry experience in Machine Learning and Computer Vision, working on real-world engineering problems and deploying AI solutions. My teaching combines strong theoretical foundations with practical insights from industry, helping students understand not just how algorithms work, but why they are used in practice.

I have also qualified GATE in Computer Science (CS), Electrical Engineering (EE), and Electronics & Communication Engineering (EC), scoring 98+ percentile in each discipline.

About the lesson

Primary Subjects: Signal Processing, Image Processing and Computer Vision, Machine and Deep Learning, Linear Algebra, Probability. Control Systems

Modes of teaching(student choice):
1. Practical with a focus on helping students code and solve problems. Help them create a demonstrable GitHub portfolio. Every module in ML, IP and CV will mandatorily have these.
2. Theoretical: with a focus on mathematics, derivations etc for students who want to learn the subject at a deeper level.

Topics Covered:

1. Linear Algebra: Vectors and vector spaces, Matrix operations, Linear independence, basis, dimension. Rank and null space, Systems of linear equations, QR & LU decompositions, Orthogonality and projections, Eigenvalues and eigenvectors. Singular Value Decomposition (SVD), Positive definite matrices, Matrix calculus (essential for deep learning)

2. Probability and Statistics: Probability axioms, Conditional probability & Bayes' theorem, Random variables, Common distributions (Gaussian, Bernoulli, Binomial, Poisson, Exponential), Expectation and variance, Covariance and correlation, Joint distributions, Central Limit Theorem, Maximum Likelihood Estimation, MAP estimation, Hypothesis testing
Confidence intervals, Information theory (Entropy, KL Divergence, Cross Entropy)

3. Signal Processing: Continuous vs discrete signals, sampling theorem, Basics of LTI systems, convolution, Fourier series, discrete time and continuous time Fourier transform, discrete Fourier transform, FFT, frequency domain analysis, filtering, IIR and FIR filters, Z transform.

4. Image Processing and Computer vision: Representation and color spaces, intensity transformations, spatial filters, frequency domain filters, edge detection, morphological operations, image restoration, optical flow, image registration, homography, stereo vision, structure from motion, convolutional neural networks, image classification, object detection, image segmentation, keypoint matching, pose estimation, image stitching, image generation, video and 3D image processing (on demand)

5. Machine Learning and Deep Learning: ML pipeline, feature engineering, cross validation, bias variance tradeoff, regression, density estimation, mixture models, trees, ensemble methods, clustering, density estimation, dimensionality reduction, neural networks, gradient descent and optimizers, activation functions, regularization, CNN and transformer building blocks, network debugging,

Students can customize topics from the above and even propose new ones.

Recommendations

Recommendations are written by the tutor's friends, family, and acquaintances.

U

Uma

He taught me linear regression. His grasp on the subject is phenomenal. He is a very kind teacher who is committed to ensuring the student has learned the subject. He also spends time to give you a perspective on the concepts.
Read more

U
Uma
He taught me linear regression. His grasp on the subject is phenomenal. He is a very kind teacher who is committed to ensuring the student has learned the subject. He also spends time to give you a perspective on the concepts.
See more recommendations

Rates

Rate

R254

Package rates

5h: R1016
10h: R1863

free lesson

The free first lesson with Manikanda allows you to get to know the tutor and discuss your needs and expectations.

online

R254/h

IITian Silver Medalist and ML/CV researcher teaching signal and image processing, control and machine learning with relevant mathematical and programming foundations.

Lesson location

About Manikanda

About the lesson

Recommendations

Rates

Rate

Package rates

free lesson

online

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IITian Silver Medalist and ML/CV researcher teaching signal and image processing, control and machine learning with relevant mathematical and programming foundations.

Lesson location

About Manikanda

About the lesson

Recommendations

Rates

Rate

Package rates

free lesson

online

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