News


GuRu Prevails Congratulates Kiran Raj to receive an offer from Rakuten Inc. Tokyo, Japan for Next-Gen Search Engine Development.

Santhosh Kumar, Stanford University, shares his experience with software garages working on Hadoop, in Bay Area, the USA, with the students at GuRu Prevails

Ione Binford, CEO Read-Ink Technologies, shares her views with the students at GuRu Prevails about “ the importance of professional level programming skills” in an IT product development company.

Richa Bhayani, Graduate Student @ Stanford University, introduced the Students of GuRu Prevails to “Sentiment Analysis from tweets”.

"You can have your Grades!" I studied Machine Learning at GuRu Prevails, and I am joining Google Inc. – Darshan Hegde


David Wood
, Executive VP and Head of Research, Symbian had a meeting with Dattatreya, CEO GuRu Prevails, on “future of AI” in Bangalore


J. E. Thomas Hooton, a Canadian entrepreneur introduced the students of GuRu Prevails on Artificial life


Prof. Panagiotis G. Ipeirotis, Stern Business School, NYU offers internships on EconoMining to students of GuRu Prevails


GuRu Prevails congratulates its star alumnus Chandrasekhar Bhagavatula on joining North Western University for graduate studies on Machine Learning


Adityendra Rawat wins the student of the year 2010 award at GuRu Prevails


GuRu Prevails starts its operation in Kolkata, with a seminar at Bengal Engineering and Science University


Dr. Mohan Delampady, Prof ISI Bangalore audited the Linear Algebra Module of Machine Learning course


GuRu Prevails CEO meets Dr. Lalitesh Katragada of Google, Dr. Lalitesh has agreed to support GuRu Prevails by auditing the Machine Learning course content.

Fighter Pilot Das, Indian Air Force, introduces GuRu Prevails students to Physics of Flying, Black-outs and applications of Machine Learning

At GuRu Prevails, I studied Machine Learning what they do not teach in School, I am ACCEPTED in National Instruments. --Raghunandan M

Star Alumnus


Anoop Katti, Bangalore
GuRu Prevails is the way towards independence and confidence.
Areas of Interest: Speech and Image Processing


Karthik D K, Bangalore
"With GuRu Prevails I have found a new self within"
Areas of interest:Text Classification


Raghunandan M
A fantastic place to Study exciting and transforming.
Areas of interest: Robotics


Nikhil Lakhmani, Kolkata
GuRu Prevails, a move forward in the direction of tomorrow
Areas of interest: Mobile Applications Development and Web3.0


Darshan Hegde, Bangalore:
GuRu Prevails makes you to seek Gu(Darkness) and Ru(Sunshine) within you
Areas of interest: Data Mining and Computer Vision


Adityendra Rawat, Bangalore:
GuRu Prevails is the gateway to NexGen Technologies
Areas of interest: Machine Learning and Mobile Apps

Sunil Jain, Bangalore
GuRu Prevails: "The place where Geeks! are born!!"
Areas of interest: Booting Geeky Startups!

Varun, Bangalore
GuRu Prevails is "more than what meets the eye"
Areas of interest:Artificial Intelligence and Quantum Computing.

Ananya Saxena, Bangalore
GuRu Prevails is the guiding light to explore Computer Science
Areas of interest:Algorithm Design

Kiran Raj, Tokyo Japan
Want to walk a walk among the best in Technology and Business - GuRu Prevails has the right arsenal
Areas of Interest: Nex-Gen Search Engine

Machine Learning with Octave

Total duration – One and 1/2 Months
Schedule of Classes - Week-ends

Course Objectives:
1.Relate with Machine Learning Applications around you.
2.Develop solid foundations of Machine Learning Algorithms by programming the     mathematics behind Machine Learning API's.
3.Develop expertise on Feature Selection and Model selection.

Pre-requisites:
1.Programming in at least one language like Python, Matlab for 2 years


Good to have but not mandatory:
1.Calculus, Linear Algebra

Scope of the training

Session 1

Linear Regression - single and multiple variables

Session 2

Classification - SVM

Session 3

Classification - Logistic Regression

Session 4

Artificial Neural Network

Session 5

Regularization

Session 6

Clustering

Session 7

Dimensionality Reduction

Session 8

Large Scale Machine Learning

Session 9

Recommender Systems

Session 10

Advice for applying Machine Learning