The "idea" of machine learning has come in and out of favor a few times through history, each time leaving people thinking it was merely a fad. It is really only very recently that we've been able to put much of machine learning to any decent test. Nowadays, you can spin up and rent a $100,000 GPU cluster for a few dollars an hour, the stuff of PhD student dreams just 10 years ago. Machine learning got another up tick in the mid 2000's and has been on the rise ever since, also benefitting in general from Moore's Law. Beyond this, there are ample resources out there to help you on your journey with machine learning, like this tutorial. You can just do a Google search on the topic and find more than enough information to keep you busy for a while.
There is massive growth in the machine learning space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
Hardware and Software requirements
Course requires a good internet (1 Mbps or more) and a browser to watch videos and do hands-on the lab. We've configured all the tools in the lab so that you can focus on learning and practicing in a real-world cluster.
Hands with Tensor Flow
Introduction to Artificial Neural Networks
Training Deep Neural Nets
Convolutional Neural Networks
Recurrent Neural Networks
Machine Learning Project Approach
Quiz and Assessment
Our course is exhaustive and the certificate rewarded by us is proof that you have taken a big leap in Deep Learning domain.
The knowledge you have gained from working on projects, videos, quizzes, hands-on assessments and case studies gives you a competitive edge.
Highlight your new skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.
Starts on 25 February | 5:30pm - 8:30pm PST | Sat, Sun | 36 hours
High-quality videos, slides, hands-on examples, quizzes, automated assessments, case studies, real-world projects
Lifetime access to cutting-edge self-paced learning content
90 days of lab access for hands-on practice
24x7 support to answer your queries
Earn certificate in Deep Learning
36 hours of live online instructor-led trainingEnroll Now
Chief Information Officer at MEDGENOME
Adjunct Faculty at IIT Madras and IIIT Delhi
Ph.D , Computer Science and Engineering, University of Minnesota-Twin Cities
Knowledgeable data science and computational biology professional with more than a decade and a half experience in applying data driven models to scientific and commercial domains, including civil infrastructure, earth and atmospheric sciences, computational biology, medical and healthcare informatics, customer analytics, recommender systems and computational advertising.
Experience working with variety of problems in clustering, classification/prediction, association pattern mining, statistical modeling etc. in collaboration with many domain scientists from organizations like University of Minnesota, Mayo Clinic, Genentech, IBM and NASA.
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