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Report on Machine Intelligence
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2.Audio & Speech analytics
3.Robotics
4.Deep Learning
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9.Natural Language
10.Human Understanding
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Adult training
Programming
Python
R
Machine Learning with Python & R
Machine Learning
Visualisation
Power BI
Deep Learning with Python & R
Deep Learning
Data Engineering
Data Engineering
Adult training
Advanced Maths/Statistics
Pure Maths
Maths For Data Science
Statistics For Data Science
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Environmental Science
Communication
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Age 14 to 16
Age 11 to 13
Age 7 to 10
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Dataset for Machine Learning
UCI Machine Learning Repository
Kaggle
Analytics Vidhya
Quandl
Past KDD Cups
Driven Data
Datasets for Images
The MNIST Database
Chars74K
ImageNet
Very large Datasets
Amazon Web Services (AWS) datasets
Google datasets
Youtube labeled Video Dataset
Text Datasets
Spam – Non Spam
Twitter Sentiment Analysis
Movie Review Data
General Datasets
data.gov
data.gov.in
World Bank
RBI
Five Thirty Eight Datasets
Sites with links to various sources
KDNuggets
Awesome Public Datasets
Reddit Datasets Subreddit
Datasets of Recommended Engine
MovieLens
Jester
Data Visualisation
Power BI
Tableau
QlikView
Intelligence
Data Science Tools
Data Science
Module 1:Machine Learning
Module 2:Deep Learning
Module 3:Analytics
Module 4:Statistics & Multivariable Calculus
Module 5:Data Visualization
Module 6:Data Munging
Module 7:Software Engineering
Module 8:Pure Maths for computer science
Module 9:Model Evaluation
Module 10:Neural network
Module 11:Python| R |SQL|Hadoop|Spark
Data Engineering
Module 1:CAP theorem
Module 2:Lamda Architecture
Module 3:Cassandra, Neo4j and other nosql databases
Module 4:The Storm distributed real time computation system
Module 5:Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
Module 6:Spark framework
Module 7:Continuous deployment and delivery to the cloud.
Module 8:Microservices using containers to deliver reliable infrastructure.
Module 9:Vision systems
Module 10:RDBMS systems
Module 11:OLAP cubes and Business Intelligence systems
Module 12:Clustering: K-means, mixture models, hierarchical
Module 13:Dimensionality reduction and visualisation
Module 14:Inference: Bayes, MCMC
Module 15:Max-margin methods (SVMs)
Module 16:Bayesian networks
Financial Engineering
Module 1:Risk Management & Valuation
Module 2:Financial Engineering
Module 3:Equity|Venture capital
Module 4:Stochasic Calculus
Module 5:Fintech innovation
Module 6:Investment|Portfolio Mng
Module 7:Financial Statistics
Module 8:Financial Modelling
Module 9:Big data Finance
Module 10:Trading Strategies
Module 11:Regulation|Monetary policy
Module 12:Derivatives & Hedging
Module 13:Credit Risk
Module 14:Fixed income securities
Module 15:International Finance
Module 16:Algorithmic Trading
Module 17:Asset allocation
Module 18:Investment strategies
Module 19:Risk management|Insurance
Module 20:Options Theory in action
Module 21:Banks|Markets & securities
Module 22:Wealth Management
Module 23:Alternative investment
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Microsoft Dynamics 365
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ATOM - Community
IDLE
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eric
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PyCharm plugins
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Jupyter Notebook
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IDE
Codenvy
Sublime Text
Cloud 9
Emacs
Netbeans
CodeMix
Vim IDE
Wing IDE
PyDev
Intellij IDEA
Python Web Framework
Django
Pyramid
TurboGears
Web2py (No support for Python3)
Flask
Bottle
CherryPy
Sanic
Tornado
Dash
CubicWeb
Giotto
API star
Future
Bacterial genetics and DNA hard drive
Quantum computing
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Home
What we do
GlobalAloud
1.About us
2.Our Services
3.Events
4.Blogs
5.Publication
6.eCV
7.Book on site Demo
8.Have fun with our learning
9.Career path
10.Contact Us
11.Register
Report on Machine Intelligence
1.Vision & Image analytics
2.Audio & Speech analytics
3.Robotics
4.Deep Learning
5.Machine Learning
6.ND Graph Analysis
7.Expert Systems
8.Artificial Neural Systems
9.Natural Language
10.Human Understanding
11.Simulation modelling
12.Sensors & Internet of things
13.Games
Courses
Focused Training
Training for Children & Adults for well paid careers in IT
Training available 24 hours globally.
Adult training
Programming
Python
R
Machine Learning with Python & R
Machine Learning
Visualisation
Power BI
Deep Learning with Python & R
Deep Learning
Data Engineering
Data Engineering
Advanced Maths/Statistics
Pure Maths
Maths For Data Science
Statistics For Data Science
Environment
Environmental Science
Communication
Children's training
Age 14 to 16
Age 11 to 13
Age 7 to 10
Data
Dataset for Machine Learning
UCI Machine Learning Repository
Kaggle
Analytics Vidhya
Quandl
Past KDD Cups
Driven Data
Datasets for Images
The MNIST Database
Chars74K
ImageNet
Very large Datasets
Amazon Web Services (AWS) datasets
Google datasets
Youtube labeled Video Dataset
Text Datasets
Spam – Non Spam
Twitter Sentiment Analysis
Movie Review Data
General Datasets
data.gov
data.gov.in
World Bank
RBI
Five Thirty Eight Datasets
Sites with links to various sources
KDNuggets
Awesome Public Datasets
Reddit Datasets Subreddit
Datasets of Recommended Engine
MovieLens
Jester
Data Visualisation
Power BI
Tableau
QlikView
Intelligence
Data Science Tools
Data Science
Module 1:Machine Learning
Module 2:Deep Learning
Module 3:Analytics
Module 4:Statistics & Multivariable Calculus
Module 5:Data Visualization
Module 6:Data Munging
Module 7:Software Engineering
Module 8:Pure Maths for computer science
Module 9:Model Evaluation
Module 10:Neural network
Module 11:Python| R |SQL|Hadoop|Spark
Data Engineering
Module 1:CAP theorem
Module 2:Lamda Architecture
Module 3:Cassandra, Neo4j and other nosql databases
Module 4:The Storm distributed real time computation system
Module 5:Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
Module 6:Spark framework
Module 7:Continuous deployment and delivery to the cloud.
Module 8:Microservices using containers to deliver reliable infrastructure.
Module 9:Vision systems
Module 10:RDBMS systems
Module 11:OLAP cubes and Business Intelligence systems
Module 12:Clustering: K-means, mixture models, hierarchical
Module 13:Dimensionality reduction and visualisation
Module 14:Inference: Bayes, MCMC
Module 15:Max-margin methods (SVMs)
Module 16:Bayesian networks
Financial Engineering
Module 1:Risk Management & Valuation
Module 2:Financial Engineering
Module 3:Equity|Venture capital
Module 4:Stochasic Calculus
Module 5:Fintech innovation
Module 6:Investment|Portfolio Mng
Module 7:Financial Statistics
Module 8:Financial Modelling
Module 9:Big data Finance
Module 10:Trading Strategies
Module 11:Regulation|Monetary policy
Module 12:Derivatives & Hedging
Module 13:Credit Risk
Module 14:Fixed income securities
Module 15:International Finance
Module 16:Algorithmic Trading
Module 17:Asset allocation
Module 18:Investment strategies
Module 19:Risk management|Insurance
Module 20:Options Theory in action
Module 21:Banks|Markets & securities
Module 22:Wealth Management
Module 23:Alternative investment
Cloud | IDE
Cloud Services
Amazon Web Services
Kamatera
Microsoft Azure
Microsoft Dynamics 365
Google Cloud Platform
Adobe
VMware
IBM Cloud
Rackspace
Red Hat
Salesforce
Oracle Cloud
SAP
Verizon Cloud
Navisite
Dropbox
Egnyte
IDE
R-Studio
ATOM
ATOM - Community
IDLE
Thonny - IDE for beginners
Visual Studio
eric
Spyder
PyCharm
PyCharm plugins
Rodeo
Jupyter Notebook
Eclipse
Codenvy
Sublime Text
Cloud 9
Emacs
Netbeans
CodeMix
Vim IDE
Wing IDE
PyDev
Intellij IDEA
Python Web Framework
Django
Pyramid
TurboGears
Web2py (No support for Python3)
Flask
Bottle
CherryPy
Sanic
Tornado
Dash
CubicWeb
Giotto
API star
Future
Bacterial genetics and DNA hard drive
Quantum computing
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Show case your talent, experience or work
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Data Engineers
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Financial Modelling and Automation
