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Best Machine Learning Training in Bangalore

Machine Learning in Bangalore

Simply put, Machine Learning is the process of finding computer algorithm patterns in data, analysis and statistics. It can analyse more bigger data and delivers the result faster and more correctly than humans. It is an inexpensive, affordable, quicker and powerful tool. For this very reason, ZenRays has introduced a course on Machine Learning Training in Bangalore. This course is available with Classroom or Online Live Stream sessions.

At ZenRays, we provide hands-on training and work on Live Project along with the Industry Experts. At the end of your course and Live Project, you will get Course Completion Certificate and Live Project experienced letter. We offer Placement Training in Bangalore

Zenrays Review by Sakshi Sharma

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 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.

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Machine Learning Training Course Syllabus in Bangalore

MODULE 1(COURSE CONTENT)

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

Statistics

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

Supervised learning

  • Regression
  • Simple linear regression
  • Multiple linear regression
  • Assessing performance
  • Ride Regression
  • Features selection and lasso
  • Nearest neighbours and kernel regression
  • Classification

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

Natural Language Processing

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

Recommendation

  • 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

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

MAchine Learning Training near me

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