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Machine Learning Specialist Training Online

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  • 50 Hrs Training
  • Recorded Sessions
  • Training Certificate
  • Learning Access
  • Experienced & Certified Consultant
$ 750 $ 820
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Training Schedule

Start Date End Date No. of Hrs Time (IST) Day  
09 Jul 2022 20 Aug 2022 50 06:00 PM - 10:00 PM Sat, Sun
23 Jul 2022 03 Sep 2022 50 06:00 PM - 10:00 PM Sat, Sun
06 Aug 2022 17 Sep 2022 50 06:00 PM - 10:00 PM Sat, Sun
20 Aug 2022 01 Oct 2022 50 06:00 PM - 10:00 PM Sat, Sun

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Course Overview

Machine Learning Specialist certification proves to be very helpful for the candidates to enhance the career graph by developing their insight on the subject matter, which is essential for being a Machine Learning Specialist to handle Big data issues.  Machine Learning Specialist online training offered by Multisoft Virtual Academy aims to impart training on Data Science with R, Introduction to Machine Learning, Random Forest, General Boosting & Bagging, Support Vector Machines, Neural Networks  and Text Mining with R.

The training helps the candidates to understand the syntax, variables, and types, create functions and use control flow, work with data in R. Moreover, they would be able to gain insight on regression, clustering, classification, including measuring the variable importance through permutation and gaining hands-on experience on solving the algorithm with the complexity of a classifier to gain accuracy.

In the General Boosting & Bagging, Support Vector Machines, Neural Networks  and Text Mining with R learning section develops understanding of categorical variables and continuous variables, that helps in using the boosting and bagging methods effectively, understanding the NN algorithms work, kernel functions such as: spline kernels, linear, radial basis function and polynomial and Text Mining with R is based on the intelligence of statistics and R. Apart from this the training helps the candidates to learn Machine Learning Specialist advanced ethics for a better career future.

Course Content

1. Data Science with R

  • Exploratory Data Analysis and Visualization
  • R for Data Science
  • Data Mining
  • Data Analysis for Evidence Based Decision Making
  • Industry Applications of Advanced Analytics Models
  • Big Data Analytics with Spark
  • Project Management in Analytics
  • Information to Insight
  • Career Management

2. Introduction to Machine Learning

  • An Introduction
  • The Regression Algorithms
  • The Classifiers: Bayesian and kNN
  • Tree Based Algorithms
  • SVM and Improving Performance

3. Random Forest

  • Single Decision Tree
  • Rise of Ensemble Method
  • Practical Exercises in R on Business Case Studies               

4. General Boosting & Bagging

  • Decision Tree Ensembles: Bagging and Boosting
  • The Case Study: Analysis of Credit Data
  • The Case Study: The Titanic Accident
  • The Case Study: Comparing Algorithms

5. Support Vector Machines

  • Introduction to the Support Vector Machines

6. Neural Networks

  • An Introduction
  • The Perceptron learning procedure
  • The backpropagation 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 neural nets with generative pre-training
  • Modeling hierarchical structure with neural nets
  • Recent applications of deep neural nets

7. Text Mining with R

  • An Introduction to the Text Mining
  • TM Packages in R
  • Regular Expressions
  • Sentiment Analysis
  • Topic Modelling
  • Network Analysis
  • Clustering

Target Audience

The IT professionals, who are willing to pursue their career as a Machine Learning Specialist.


Multisoft Virtual Academy offers a training certificate to the candidates, who complete the Machine Learning Specialist online training.


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