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Machine Learning Training

India, Telangana, Hyderabad
Published 2 weeks ago
ID #6165
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Machine Learning Training
India, Telangana, Hyderabad,
Published 2 weeks ago

Description

Data Science & Machine Learning


Introduction to Data Science
• Introduction
• Understanding Big Data
• Understand how different companies use big data for their business need
• Big Data Challanges
• Introduction to Data Science
• Types of Data Scientists
• Data Science Components
• Data Science Use Cases
• Introduction to R and Hadoop
• R and Hadoop Integration
• Machine Learning with Mahout
Hadoop Architecture HDFS & Map Reduce
• HDFS- Hadoop Distributed File System
• Assumptions and Goals
• CAP principle
• Anatomy of Hadoop Cluster
• Anatomy of a File Write
• Anatomy of a File Read
• Map Reduce Framework Architecture
• Hadoop Processes
• Understanding Various configuration Properties of Hadoop
Data Manipulation Using R

• Introduction to R
• Describe why R is Used?
• Implement R programing concepts
• Learn Data Import techniques
• Analyze the processing of the Data
Statistics and Probability
• Observation and Experiments
• Sampling Methods
• Quantitative Variables
• Skewness,Modality and Measures of Centre
• Variance, Standard Deviation, Interquartile Range
• Probability Rules
• Disjoint, Non Disjoint events, Independence
• Conditional Probability
• Probability Distributions

Machine Learning Techniques - Part 1
• Understand Machine Learning
• Use Cases Walkthrough
• Machine Learning Techniques
• Describe Clustering
• Analyze Clustering Scenarios using Clustering Algorithms
• Learn TF-IDF and cosine Similarity

Machine Learning Techniques - Part 2
• 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.
Machine Learning Techniques - Part 3
• 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
Integrating R with Hadoop
• Understand the need for R integration with Hadoop
• Learn the ways to integrate R and Hadoop
• Understand the usage of R Hadoop package
• Perform R integration with Hadoop and Run Map Reduce examples

Mahout Introduction and Algorithm Implementation
• 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
Advanced Mahout Algorithms, Parallel processing and Data Visualization
• Understand Mahout Algorithms and Parallel processing
• Learn Advanced techniques in R
• Implement Parallel Random Forest
• Understand Data Visualization
Tableau Introduction

• Tableau introduction and overview.
• Tableau Architecture
• What is tableau desktop, work book, worksheets and their usage
• Overview of Tableau Interface and show how to connect data source, in-memory

Building Dashboards

• Explaining forecasting
• Describing the views.
• Working with date function
• Explain dashboards
• What is actions
• How to create a dashboard.
• How to perform navigation in dashboards.


Courses Offerings

• Amazon Web Services
• Android
• AIX Administration
• Business Analyst
• Build and Release
• CA Siteminder
• CCNA, CCNP Security, CCIE , CheckPoint
• Citrix XenApp
• Cognos 10 BI & Tm1
• Crystal Reports
• Data Stage
• Data Science & Machine Learning
• DB2 DBA
• Dell Bhoomi
• Dev Ops
• Dot Net
• Google Web Tool Kit
• Golden Gate
• Hadoop
• Hyperion Essabase, Planning, HFR , HFM , DRM
• IBM Websphere Commerce server Admin
• IBM Lotus Notes (Development)
• IBM Lotus Notes Domino Server Administration
• IBM Message Broker
• IBM MQ Series Administration
• IBM Netezza DBA & Development
• IBM Tivoli Access Manager
• IBM Web Sphere Application Server Administration (WAS)
• IBM Websphere Transformation extender (WTX 8.2)
• IBM Integration BUS ( IIB )
• Informatica
• I Phone
• Swift Language training
• Java/J2EE
• JAVA UI
• Java Apache Wicket
• Linux Administration training
• Mango DB
• MicroSoft .NET Technologies (VB.NET, C#, ASP.NET, Wcf ,Wpf ,Mvc)
• Microstrategy
• MicroSoft Business Intelligence
• OBIEE 11 g , 12c
• ODI ( Oracle Data Integrator)
• Openstack
• Oracle APPS - HRMS, SCM, Manufacturing , Technical , ASCP .Dmantra
• Oracle APPS - Project Accounting
• Oracle APPS - iProcurement , iSupplier, Sourcing
• OAF
• Oracle BI Apps
• Oracle BI Publisher
• Oracle DBA 11g
• Oracle RAC , Data Guard , Performance Tuning,
• Oracle Fusion SOA
• Oracle SQL , PL SQL
• People soft Functional and Technical
• PHP
• Perl Scripting
• Qlikview
• RUBY Cucumber
• SAP SD , BO , FICO , BI / BW , APO , BPC, BASIS , SRM , MM, ISOil, BODS
• SAP Simple Finance
• SAS
• Sales Force CRM
• Service NOW
• SharePoint Server 2010
• Shell Scripting
• SQL Server DBA
• Springs and Hibernate
• Storage Area Network ( SAN)
• Tableau
• Team Foundation Server
• Tera Data
• Testing Tools - QTP, QC, Load Runner, Selenium, ISTQB
• TIBCO BW, BE, TIBCO I Process
• Tivoli Access Manager & Tivoli Storage Manager
• Unix & Linux Administration
• VMWare
• WCF, WPF, LINQ, AJAX, SILVER LIGHT
• Webservices , SOAP , REST ( JAVA)
• Windows 2012 server

www.futurepointtech.com

FuturePoint Technologies
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    Registered on 15. Jul 2017

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    Contact seller 0924776xxxx

    Listing location

    India, Telangana, Hyderabad
    2nd Floor, 213/A , Aditya Enclave, Niligiri Block, Http://www.futurepointtech.com/