Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. We all know that in recent times, machine learning has given us self-driving cars, practical speech recognition, effective web search. Machine learning is so relevant today that you probably use it dozens of times a day without even knowing the same.

In this course, you will learn about the most effective machine learning techniques, and gain practical knowledge implementing them.

You will learn the practical know-how needed to quickly and powerfully apply these techniques to new issues. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.

Topics included are Supervised learning, Unsupervised learning & the best practices in machine learning You will be working and learning from a numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots, text understanding , computer vision, medical informatics, audio, database mining, etc. The rules for perception & control & the methods of web search & anti-spam will be done.

Students will build a solid foundation in Supervised, Unsupervised, Reinforcement, and Deep Learning. and also Learn advanced machine learning techniques like Statistics, Regression and Clustering Algorithms, Neural Networks, RNNs, CNNs, Lexical, Syntactical and Semantic Processing as well as including deployment to a production environment.

Our Machine learning Training with guaranteed placement program helps students secure their job after the Machine learning Training.