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ADVANCED AI TRAINING IN BANGALORE

Learn AI Course In Indras Academy, Live Training And 100% Job Placement Assitence In Just 3 Months.
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AI Courses in Bangalore



Indras Academy is the Market Leader in Artificial intelligence training in Bangalore Marathahalli. Artificial Intelligence is going to be the next big thing in the tech field and an incredible number of organizations are adopting AI and the demand for professionals knowledgeable in AI is increasing at an amazing rate! Artificial Intelligence course by Indras Academy will provide you with a broad understanding of the concepts of Artificial Intelligence to beginners.

In this course, you will learn to apply mathematical ideas in machine learning. You will explore the process of learning and understand the application of various learning algorithms.The complete AI course content is designed by industry professionals to get the best jobs in the top MNCs. As part of this Artificial Intelligence training, you will be working on real-time projects and assignments that have enormous implications in the real-world industry scenario, therefore, helping you boost your career effortlessly. AI Certification will be awarded to the candidates by the end of Courses Don’t get left behind – Start with Indras Academy - grab the wonderful opportunities. Learn Artificial Intelligence Course today!

Key features



AI COURSES SYLLABUS

Linear Models
  • Understand linear approximation and modelling of problems and develop linear models
Dimensionality Reduction
  • Use ideas from linear algebra to transform dimensions and warp space providing additional flexibility and functionality to linear models.
SVM
  • Develop and implement kernel based methods to develop nonlinear models to solve few complex tasks.
Nearest Neighbours, K-means, and Gaussian Mixture Models
  • Review pattern recognition ideas with distance and cluster based models to understand similarity measures and grouping criteria.
Naive Bayes and Decision Trees
  • Dive into applications of bayes theorem and the use of decision criteria when learning from data.
Search
  • Look at search from the perspective of graphs, trees and heuristic based optimizations.
Logic and Planning
  • Discover ways to encode logic and develop agents that plan actions in an environment.
Reinforcement Learning and Hidden Markov Models
  • Engineering agents that learn from a sequence of actions using rewards and penalties.
Q-Learning and Policy gradient
  • Operate in a stateful world over value and policy approximations tasks

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