Machine Learning

In this Machine learning course, you will learn techniques to extract features from data so as to solve certain tasks, such as speech recognition, machine translation, medical diagnosis and prognosis, automatic algorithm configuration, robot control, and much more.

This course provides a detailed information about machine learning and statistical pattern recognition. You will become familiar with supervised learning - generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines; unsupervised learning - clustering, dimensionality reduction, kernel methods; learning theory - bias/variance tradeoffs, practical advice; reinforcement learning and adaptive control.

You will get knowledge of recent applications of machine learning, such as to speech recognition, robotic control, data mining, and many more.

Key Features:

• Students will learn the algorithms of various machine learning techniques, as well as understand the theoretical relationships between these algorithms.
• Learn how to solve real-world problems with machine learning applications.
• Understand how systems adapt so that they can solve new tasks, related to previously experienced tasks, more efficiently.

Why Choose VproTech Digital:

• Flexible class timings.
• Backup and revision classes.
• Free study material and extra classes to students in case of doubts.
• Committed Placement wing to assist students with getting arrangement in top organizations.
• Master mentors who have top to bottom information about the field.