TRANSFORMING EDUCATION
Nuts and bolts
UPCOMING COURSES
Upcoming courses are
1) Intro to Machine Learning - Pattern Recognition for Fun and Profit
Course Link: https://www.udacity.com/course/ud120
Start Date: Estimate is last week of Dec 2014, Duration 10 weeks(2.5 months)
Mentor: Kavish Dwivedi
Course summary: In this course, you’ll learn by doing! We’ll bring machine learning to life by showing you fascinating use cases and tackling interesting real-world problems like self-driving cars. For your final project you’ll mine the email inboxes and financial data of Enron to identify persons of interest in one of the greatest corporate fraud cases in American history
2) Learning How to Learn: Powerful mental tools to help you master tough subjects
Course Link: https://www.coursera.org/course/learning
Start Date: Jan 2nd 2015, Duration - 4 weeks(1 month)
Mentor: Mathankumar C & Marc Vaz
Course Summary: This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
3) Intro to Parallel Programming : Using CUDA to Harness the Power of GPUs
Course Link: https://www.udacity.com/course/cs344
Mentor: Marc Vaz
Start Date: Estimate is last week of Dec 2014, Duration 12 weeks(3 months approx)
Course Summary: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.Why computation matters: https://www.youtube.com/watch?v=3DbAB2ChDBw
1) Intro to Machine Learning - Pattern Recognition for Fun and Profit
Course Link: https://www.udacity.com/course/ud120
Start Date: Estimate is last week of Dec 2014, Duration 10 weeks(2.5 months)
Mentor: Kavish Dwivedi
Course summary: In this course, you’ll learn by doing! We’ll bring machine learning to life by showing you fascinating use cases and tackling interesting real-world problems like self-driving cars. For your final project you’ll mine the email inboxes and financial data of Enron to identify persons of interest in one of the greatest corporate fraud cases in American history
2) Learning How to Learn: Powerful mental tools to help you master tough subjects
Course Link: https://www.coursera.org/course/learning
Start Date: Jan 2nd 2015, Duration - 4 weeks(1 month)
Mentor: Mathankumar C & Marc Vaz
Course Summary: This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
3) Intro to Parallel Programming : Using CUDA to Harness the Power of GPUs
Course Link: https://www.udacity.com/course/cs344
Mentor: Marc Vaz
Start Date: Estimate is last week of Dec 2014, Duration 12 weeks(3 months approx)
Course Summary: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.Why computation matters: https://www.youtube.com/watch?v=3DbAB2ChDBw