I will be helping students who love math and physics to understand real time application of the subjects. The aim is to help students understand maths and physics and their impact on computer science.
It just so happens many times that while working we get stuck with a stupid piece of code and are not able to think of a way out. It can be anything from updating the software to integration of a new feature or changing the Data structure of the current implementation. if that is the case with you , please drop a message and I might just be able to help you fix it.
As a startup or as a full grown company , we sometimes need a scalable architecture for our software which we can hand it to the development team. If that is what you are looking for get in touch with me .
I can design a customised printed circuit board as per your requirement.
- Understand the major technology trends driving Deep Learning
- Be able to build, train and apply fully connected deep neural networks
- Know how to implement efficient (vectorized) neural networks
- Understand the key parameters in a neural network's architecture
(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
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