IT Software Courses in Bangalore


Machine Learning Training in Bangalore

ZenRays offers the best Artificial Intelligence Training in Bangalore and Machine Learning Training in Bangalore. Register to attend our Hands-on Training. Work on Machine Learning Live Project in Bangalore as well as Artificial Intelligence Live Project. Classroom and Online Training facilities are available for all the sessions and technology training courses in Bangalore at ZenRays. Check our other IT Software Training Courses in Bangalore

Zenrays Review by Ankunil

Our top notch training coupled with a live project is icing on cake. Once you have mastered Artificial Intelligence and Machine learning during training, we start with Live Industry Project. During Project you code with our consultants and experts daily to become a master of Artificial Intelligence and Machine learning. This is the last part of your Ninja Training that makes you a Front End rock star.

At ZenRays we say NO to Dummy Projects. Whatever project you work in is Actual and Industry Specific. After successful completion of project your name is added as a contributor to the project which you can showcase at Interviews as a mark of your expertise.

1. Will we cover both theory and hands-on?
Yes, our bootcamp is specifically designed to understand the core concepts and practise it with relevant hands-on. Participants will be actually implementing ML models which will help them in a long way.

2. Is prior coding experience necessary? I am from Testing background
Absolutely not necessary. You should only have logical understanding.

3. Is knowing statistics or maths important?
Statistics and Maths are what you will learn in the bootcamp since these are the building blocks of ML. Basic maths - which we all studied in school is sufficient to start learning.

4. What all languages/platforms will be used to develop the models?
R and Python will be used. For Deep Learning, Keras with Tensorflow as the backend will be used.

5. WIll we do Image Detetction in the bootcamp?
Yes, Image Detetction or Computer Vision will be covered

6. Will NLP be covered?
Yes, Natural Language Processing(NLP) will be covered in the Bootcamp

7. How will we get the data to work upon?
Do not worry. We will provide all the data with which you will be building the ML models.

8. WIll you follow any books? If so, can you please mention?
We will follow our carefully designed content. It is a mix of theory and practicals.

9. WIll the course material be shared?
Yes, course material will be shared with the participants.

10. How well can I benefit from this course?
It all depends on how much effort you will put. We do our best and answer all the doubts that you will have. Please put in maximum effort so that you learn and take your career forward. Wish you - all the best.

Machine Learning & Artificial Intelligence Training in Bangalore Class Schedule : Every Weekend Classroom & Online Sessions 

Artificial Intelligence and Machine Learning Training Course Syllabus in Bangalore


Introduction :

  • Introduction to Big Data and Machine Learning
  • Understanding Python and R

Machine learning Techniques

  • Types of Learning
  • Advice for Applying Machine Learning
  • Machine Learning System Design


  • Basics of Statistics
  • Data cleaning
  • Data Exploration
  • Statistical Inference
  • PGM (Probabilistic graphical model)

Supervised learning

  • Regression
  • Simple linear regression
  • Multiple linear regression
  • Assessing performance
  • Ridge Regression
  • Features selection and lasso
  • Nearest neighbours and kernel regression
  • Classification
  • Decision Trees and CART
  • Support Vector Machines(SVM)
  • Naive Bayes
  • Project work - Cancer Detection, Fraud Analysis, Spam Filter creation

Unsupervised learning

  • Clustering
  • Overview
  • Types of Clustering
  • Types of Clustering Algorithms
  • K Means Clustering
  • Hierarchical Clustering
  • Difference between K Means and Hierarchical clustering
  • Applications of Clustering
  • Project Work: Social Media Analysis with Clustering

Natural Language Processing

  • Basics of NLP
  • Text Extraction
  • Sentimental Analysis
  • Similarity matric learning
  • Infromation Retrival


  • Recommender System Overview
  • Phases of Recommendation Process
  • Recommendation filtering Techniques
  • Evaluation metrics for recommendation Algorithms

SparkCore and MLlib

  • Spark Core
  • Spark Architecture
  • Working with RDDs
  • Machine learning with Spark – Mllib

Neural Networks

  • The Perceptron learning procedure
  • The back propagation learning procedure
  • Learning feature vectors for words
  • Object recognition with neural nets
  • Optimization: How to make the learning go faster
  • Recurrent neural networks
  • More recurrent neural networks
  • Ways to make neural networks generalize better
  • Combining multiple neural networks to improve generalization
  • Hopfield nets and Boltzmann machines
  • Restricted Boltzmann machines (RBMs)
  • Stacking RBMs to make Deep Belief Nets
  • Deep Learning

Image Detection :

  • Convolutional Neural Network(CNN)
  • Object Detetcion
  • Object Classification
  • Localization
  • Edge Detection
  • Stride, Padding
  • YOLO algorithm

Artificial Intelligence and Predicate Calculus

  • Introduction
  • AI roots and applications
  • Propositional calculus
  • Predicate calculus

AI Programming Languages

  • Prolog and Lisp
  • Syntax
  • Data Types
  • Control Mechanisms

Graph Theory and Strategies for State Space Searches

  • Graph Theory & Finite State Machine
  • State Space Search Algorithms
  • Reasoning Strategies

Heuristic Search Algorithms

  • Heuristic Search Issues
  • Heuristic Search Applications
  • Hill Climbing algorithm
  • Dynamic programming
  • Best-first search

Control and Implementation of State Space Searches

  • Related Issues
  • Recursion-based Searching
  • Production and Blackboard Systems Architecture

Knowledge Representation

  • Concepts
  • Issues
  • Ontologies & Agent Based Systems

Expert System and problem solving

  • Case-based Reasoning
  • Model-based Reasoning
  • Hybrid Models

For Registration and for more Information on Artificial and Machine Learning Training in Bangalore, contact ZenRays - the best AngularJS Training Institutes Bangalore at +91 9916482106 | 080 41127272 |

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