A comprehensive program designed by the industry experts from the ground ups to the real world application assuming a student needs to observe working knowledge faster .We aim to provide the required expertise for an individual to succeed in the AI – powered future. The course covers all concepts, methods & algorithms in machine learning from classification and linear regression to recent concepts like boosting support vector machines, hidden Markov models and Bayesian networks.
The training program involve lectures, discussions, readings, interactive problem solving and practical lab sessions and would give an basic idea and intuition behind modern methods of machine learning, as well as a little more formal understanding of how, why, and when they work.
By the end of the course you will be able to get an hands on experience on real time applications of machine learning such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing etc.
- Graduates seeking to build a career in Data Science & Machine Learning.
- Developers who aspire to be a data scientists or machine learning engineer.
- Experienced professional who want to leverage machine learning in their field to gain more sights.
One should have a prior knowledge on some basic math like Statistics, Calculus and Linear Algebra and algorithms and would be better if he/she known python programming.
We also offer training in python programming to make it easy for you to get along with machine learning.
Machine learning takes precedence over the world, and as a result, companies increasingly need professionals to learn the ins and outs of machine learning.
If you're looking for a sought-after career, it's a good step to familiarize yourself with the skills of working with Intelligent Machines / Artificial Intelligence.
Corporate investment in artificial intelligence is predicted to triple in 2018, becoming a $100 billion market by 2025. Last year alone saw $5 billion in machine learning venture investment.
The median salary of a Machine Learning Engineer is $134,293 (USD), according to payscale.com.
You can choose your career path as
- Machine Learning Engineer
- Data Scientist – Machine Learning
- Data Engineer – Machine Learning
- Online Training
- Class Room Training
- Weekend Batches
- Regular & Fast Track
- Corporate Training
The program will comprehensively cover the following concepts
1. Basic Introduction
2. Regression
3. Clustering
4. Decision Trees & Random Facts
5. Support Vector Machines
6. Supervised Learning
7. Time Series Analysis
8. Deep Learning
9. Principal Component Analysis
10. Unsupervised Learning
11. Reinforcement Learning & Control
12. Convolutional Neural Networks
We help you to prepare for the following Certifications
- MCSA : Machine Learning
- MCSE : Data Management & Analytics
- Every active participant can acquire industry recognized HobNob Global Certificate