Book Online Tickets for New Batch On Artificial Intelligence, Bengaluru. FOUNDATIONS OF AI/ML: :

Linear Algebra & Calculus
 Statistics & Probability
 PROGRAMMING:Python for AI (Significant Functions, Packages and Routines)

MACHINE LEARNING ALGORITHMS 1 SUPERVISED LEARNING :

 Regression (Linear, M

New Batch On Artificial Intelligence

 

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About The Event

FOUNDATIONS OF AI/ML: :

  • Linear Algebra & Calculus
  •  Statistics & Probability
  •  PROGRAMMING:Python for AI (Significant Functions, Packages and Routines)

MACHINE LEARNING ALGORITHMS 1 SUPERVISED LEARNING :

  •  Regression (Linear, Multiple, Logistic)
  •  Classification (k-NN, naïve Bayes) techniques
  •  Decision Trees

MACHINE LEARNING ALGORITHMS 2UNSUPERVISED LEARNING

  •  Clustering (k-means, hierarchical, high-dimensional)
  •  Expectation Maximization

MACHINE LEARNING ALGORITHMS 3 REINFORCEMENT LEARNING :

  •  Markov Decision, MonteCarlo Predictions
  •  Value-based methods (e.g. Q-learning)
  •  Policy-based methods

MACHINE LEARNING ALGORITHMS 4 ENSEMBLE TECHNIQUES :

  • Boosting and Bagging
  • Random Forests

MACHINE LEARNING FRAMEWORKS 

  • SKIKIT LEARN
  • TENSORFLOW
  • THEANO
  • KERAS
  • PRTORCH

Python Libraries :

  •  Pandas,Numpy,Scipy,Matplotlib etc.,

DEEP LEARNING :

  •  Neural Network Basics
  •  Deep Neural Networks
  •  Recurrent Neural Networks (RNN)
  •  Deep Learning applied to Images using CNN

Mini-Project on CV,NLP or Chat bots.

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