Machine Learning with Data Science

Live Online (VILT) & Classroom Corporate Training Course

Studying data science will help you understand how to take the raw data, analyse it, connect the dots and tell a story often via several visualizations and studying machine learning along with it will make you a specialist of artificial intelligence
Data Science

How can we help you?

  • CloudLabs
    CloudLabs
  • Projects
    Projects
  • Assignments
    Assignments
  • 24x7 Support
    24x7 Support
  • Lifetime Access
    Lifetime Access
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Overview

Data Science and Machine Learning course will help you master the data science and analytics using different machine learning techniques and further gain deep understanding in data manipulation using R , also get introduced to hadoop architecture .

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Objectives

At the end of Machine Learning with Data Science training course, participants will be able to

  • Manipulate and Visualise data using machine learning techniques
  • Write, optimize java code using Hadoop Framework
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Prerequisites

  • A background in Java is required
  • This machine learning and data science course is appropriate for developers, who wish to write, maintain and/or optimize Java code using Hadoop framework
  • Hands on experience on writing Java programs using Eclipse editor would be a plus
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Course Outline

  • HDFS- Hadoop Distributed File System
  • Assumptions and Goals
  • CAP principle
  • Anatomy of Hadoop Cluster
  • Anatomy of a File Write
  • Anatomy of a File Read
  • MapReduce Framework Architecture
  • Hadoop Processes
  • Understanding Various configuration Properties of Hadoop

  • Introduction to R
  • Describe why R is Used?
  • Implement R programing concepts
  • Learn Data Import techniques
  • Analyze the processing of the Data

  • Observation and Experiments
  • Sampling Methods
  • Quantitative Variables
  • Skewness,Modality and Measures of Center
  • Variance, Standard Deviation, Interquartile Range
  • Probability Rules
  • Disjoint,Non Disjoint events, Independence
  • Conditional Probability
  • Probability Distributions

  • Understand Machine Learning
  • Use Cases Walkthrough
  • Machine Learning Techniques
  • Describe Clustering
  • Analyze Clustering Scenarios using Clustering Algorithms
  • Learn TF-IDF and cosine Similarity
  • Understand Supervised Learning Technique
  • Classification
  • Recommendation
  • Learn Decision Tree Classifier
  • Implement how various Decision Tree algorithms work.
  • Implement Application of Techniques on a smaller datasets for better understanding using R.
  • Understand Unsupervised Learning Technique
  • Understand the implementation of Random Forest Classifier
  • Understand the implementation of Na-ve Bayer’s Classifier
  • Apply both techniques on smaller datasets using R
  • Understand Association Rule Mining

  • Understand the need for R integration with Hadoop
  • Learn the ways to integrate R and Hadoop
  • Understand the usage of RHadoop package
  • Perform R integration with Hadoop and Run MapReduce examples

  • Understand Mahout
  • Gain insight on implementing Machine Learning with Mahout
  • Understand Learning, Classification and Clustering techniques with Mahout
  • Implement Recommendation technique and Frequent Pattern Mining in Mahout

  • Understand Mahout Algorithms and Parallel proicessing
  • Learn Advanced techniques in R
  • Implement Parallel Random Forest
  • Understand Data Visualization
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Testimonials

Shamsudeen Bawa

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Shamsudeen Bawa

Vice President, J.P Morgan, CIS, USA

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Synergific Software has been of great help and I plan to continue to use your services in the future for my business needs.

Farhan Hafiz

Data Architect, Fiserv

Dr. Sahdev Singh

I think Synergific Software is great. I liked that it was hassle free and easy to set up. Again, it's a great feature for a fast and cheap set up, which gives me peace of mind, as I know have a terms of use agreement.

Dr. Sahdev Singh

Under Secretary, Ministry of Law & Justice, Govt. of India

M Chikanna Swamy

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M Chikanna Swamy

Director & Learning Head, Mindtree