Machine Learning Training course
Details
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
Tableau Introduction
Building Dashboards
•
www.futurepointtech.com
Schedules
No. of Days: | 60 |
Total Hours: | 90 |
Future Point Technologies is a Thirteen Years old leading Software Training center based in Hyderabad. The Future Point Technologies is an Institute dedicated to teaching Core Computer Technologies to students and professionals.
FUTUREPOINT Offers CLASS Room, ONLINE and CORPORATE Trainings.
- ATTEND THE DEMO AND CHECK THE QUALITY OF OUR EXPERIENCED TRAINERS
We offer Online Training , so you get trained from where you are from our experienced trainers, In the weekdays as well as weekends by the Real Time Professionals .
The program is designed to provide rich learning experience for students using Internet .
Courses Offerings
- Amazon Web Services
- Android
- AIX Administration
- Business Analyst
- BIRT Reporting
- CA Siteminder
- CCNA, CCNP Security, CCIE , CheckPoint
- Citrix XenApp
- Cognos 10 BI & Tm1
- Crystal Reports
- Data Stage
- 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 ...