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

Artificial Intelligence

Total duration – One Semester

Objectives

This course is about building good systems that do smart things and make good decisions. One way to make good decisions is to be aware of the consequences of your actions and plan ahead. That's inference. The other way to make good decisions is to remember your experiences i.e. Machine Learning. We will see both learning and inference in this course. How about the tools? Artificial Intelligence is a mix of mathematics, algorithms and creativity.

We will have programming projects in a video game setting, that's where you bring it all to life.

Scope of the training 

Session 1

Introduction to AI
Overview
Agents: Perception, Decisions, and Actuation

Session 2

Search and Planning
Uninformed Search (Depth-First, Breadth-First, Uniform-Cost)
Informed Search (A*, Greedy Search)
Heuristics and Optimality

Session 3

Project

Session 4

Constraint Satisfaction Problems
Backtracking Search
Constraint Propagation (Forward Checking, Arc Consistency)
Exploiting Graph Structure

Session 5

Game Trees and Decision Theory
Game Trees and Tree-Structured Computation
Minimax, Expectimax, Combinations
Evaluation Functions and Approximations
Alpha-Beta Pruning
Decision Theory
Preferences, Rationality, and Utilities
Maximum Expected Utility

Session 6

Project

Session 7

Markov Decision Processes
Policies, Rewards, and Values
Value Iteration
Policy Iteration

Session 8

Reinforcement Learning (RL)
TD/Q Learning
Exploration
Approximation

Session 9

Project