Best sentiment analysis training in chennai

                                                 
         For more details Course curriculum ,duration ,fees > Click here 
                                                  Call 9884218531  for Demo 

Geoinsyssoft Offers training in Sentiment Analysis in machine learning,NLP,Data science special training program.

Opinion Mining and Sentiment Analysis

Subjectivity

The Multi-Perspective Question Answering (MPQA) Corpus Analysis

Factuality

Linguistic Resources -NLP

info@geoinsyssoft.com / geoinsys@gmail.com

Phone :

+91 44 43542263 / 43542262

Mobile :

+91 9884218531

Address :

#2, 4th Floor, Balaji Nagar ,
1st Main Road, Ekkaduthangal,
Chennai - 600032,
Landmark : Opp Virtusa IT Park/Behind Petrol bunk

                                                
         For more details Course curriculum ,duration ,fees > Click here 
                                                  Call 9884218531  for Demo 

Best No sql training in chennai

MongoDB (from "humongous") is a high-performance, open source, schema- free, document/object-oriented database optimized for web application environments, and is perhaps one of the most disruptive software technologies in years. MongoDB will fundamentally change the way you think about data persistence. During this hands-on course you will learn the fundamentals of MongoDB. The course will teach you how to install, configure, administrate, and write applications with MongoDB

Overview

• "NoSQL"
• What is MongoDB?
• JSON primer
• When / why should you use MongoDB?

Installation and Administration

• Installing MongoDB
• Starting and stopping MongoDB servers
• The JavaScript console

MongoDB Basics

• Servers
• Databases
• Collections
• Documents / Objects
• CRUD
• Indexes

Clients and drivers

• Overview and integration

Building applications with MongoDB

• Overview
• Getting started
• Examples and labs

• Advanced querying

  • Projections
  • Conditional operators
  • Limit and skip
  • Aggregation and grouping
  • Map / reduce

  Security and Authentication

  • Overview
  • Best-practices

  Performance and scaling

  • Master / slave
  • Sharding
  • Profiler
  • Import / Export and backup strategies

  GridFS

  • Overview

Machine learning Training in chennai @Geoinsyssoft

Machine Learning Course Curriculum 

Octave/Weka

Email :

info@geoinsyssoft.com / geoinsys@gmail.com

Phone :

+91 44 43542263 / 43542262

Mobile :

+91 9884218531

Address :

#2, 4th Floor, Balaji Nagar ,

1st Main Road, Ekkaduthangal,

Chennai - 600032,

Landmark : Opp Virtusa IT Park/Behind Petrol bunk

www.geoinsyssoft.com

This is an introductory course on machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data.

Machine learning, a branch of artificial intelligence, is about the construction and study of systems that can learn from data. For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages. After learning, it can then be used to classify new email messages into spam and non-spam folders.

The core of machine learning deals with representation and generalization. Representation of data instances and functions evaluated on these instances are part of all machine learning systems. Generalization is the property that the system will perform well on unseen data instances; the conditions under which this can be guaranteed are a key object of study in the subfield of computational learning theory.

• Machine learning focuses on prediction, based on known properties learned from the training data.

• Data mining (which is the analysis step of Knowledge Discovery in Databases) focuses on the discovery of (previously) unknownproperties on the data.

The two areas overlap in many ways: data mining uses many machine learning methods, but often with a slightly different goal in mind. On the other hand, machine learning also employs data mining methods as "unsupervised learning" or as a preprocessing step to improve learner accuracy. Much of the confusion between these two research communities (which do often have separate conferences and separate journals, ECML PKDD being a major exception) comes from the basic assumptions they work with: in machine learning, performance is usually evaluated with respect to the ability to reproduce known knowledge, while in KDD the key task is the discovery of previously unknown knowledge. Evaluated with respect to known knowledge, an uninformed (unsupervised) method will easily be outperformed by supervised methods, while in a typical KDD task, supervised methods cannot be used due to the unavailability of training data.

For other BI .Datascience and  Bigdata  Course : www.geoinsyssoft.com

Email :

info@geoinsyssoft.com / geoinsys@gmail.com

Phone :

+91 44 43542263 / 43542262

Mobile :

+91 9884218531

Address :

#2, 4th Floor, Balaji Nagar ,
1st Main Road, Ekkaduthangal,
Chennai - 600032,
Landmark : Opp Virtusa IT Park/Behind Petrol bunk
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