Monday, January 25, 2021
Techiexpert.com
No Result
View All Result
  • Login
  • Register
  • Home
  • Tech news
  • Startups
  • AI
  • IOT
  • Big Data
  • Cloud
  • Data Analytics
  • ML
  • Blogging
Techiexpert.com
No Result
View All Result

Open-Source Deep Learning Frameworks and Visual Analytics

Srikanth by Srikanth
May 2, 2017
in Data Analytics
Reading Time: 5min read
A A
0
Open-Source Deep Learning Frameworks and Visual Analytics2 technews
11
SHARES
162
VIEWS
Share on FacebookShare on Twitter

Deep learning is gaining grounds everywhere and because of its focused area in the domain of machine learning, it has been largely successful. Its methodologies are fixed and hence, its impact on analytics has been about other fields trying to incorporate it. Deep learning, along with artificial neural networks, can transform historical data into predictive value through an array of supervised algorithms. However, it is still extremely expensive and esoteric, which means you need to employ specialists by paying them high wages. So, avoid using them for small projects since deep learning may produce erratic results as well over-optimistic results.

Open source is crucial to data analytics and hence, understanding the core of such source is pivotal if you want to write an effective analytics model. In fact, some open source platforms are learning experiences for lesser experienced data scientists. Some of these sources dedicate themselves to specific tasks. For example, Google Vision is dedicated to image analytics; Bot from Microsoft specializes in creating chat bots etc. The experience of these behemoth figures in analyzing petabytes of widely varying data comes extremely handy when you use such analytical platforms.

Deep Learning Frameworks and Visual Analytics

Deep learning is gaining grounds everywhere and because of its focused area in the domain of machine learning, it has been largely successful. Its methodologies are fixed and hence, its impact on analytics has been about other fields trying to incorporate it. Deep learning, along with artificial neural networks, can transform historical data into predictive value through an array of supervised algorithms. However, it is still extremely expensive and esoteric, which means you need to employ specialists by paying them high wages. So, avoid using them for small projects since deep learning may produce erratic results as well over-optimistic results.

ADVERTISEMENT

Open source is crucial to data analytics and hence, understanding the core of such source is pivotal if you want to write an effective analytics model. In fact, some open source platforms are learning experiences for lesser experienced data scientists. Some of these sources dedicate themselves to specific tasks. For example, Google Vision is dedicated to image analytics; Bot from Microsoft specializes in creating chatbots etc. The experience of these behemoth figures in analyzing petabytes of widely varying data comes extremely handy when you use such analytical platforms.

The arrival of visual analytics Neural networks can impact your decision making and hence, visual analytics must intervene to make it happen. Even for the laymen, visual analytics allow you to take decisions based on the data visualization. So, a businessman can now apply the model and find all the answers he or she needs to unearth complex business strategies. There are many analytical tools that a business professional can use if you are looking for the right answers. Among them, embedded analytics is extremely popular because it is direct and you can implement it through the tool itself. Even a complete novice can use it and bring forth important decisions. Native integration, on the other hand, reaches out to external clusters of deep learning. Framework API is for more sophisticated user as you can access the analytics platform through a programming language like python.

If you are an expert in handling more complex mechanisms, then you can use integration as a service scenario. Here, you use external clusters, but using a server-side tool. For the most experienced users, there is the high-tech cloud service where you can access various pre-given models through the cloud framework of some big names in IT world. If you know what kind of problems you are working with and what kind of features you want to understand, you can use the given analytical tools without much expertise. Streaming analytics for real time processing It is only when analytics starts responding real time can its business value start truly surpassing its predecessors. With streaming analytics, you can now analyze new events to decide on the immediate trend as well as in the long run.

However, the execution requirements are something worth attending to as the number of processes per unit time, the complicate of the processes including the number of clusters as well as nodes can significantly impact how much is it plausible to apply real-time analytics. All these technologies, when harnessed together, can significantly impact the big data scenario and bring success to many fronts. While deep learning is used for complex problems with clear problem statements, visual analytics ensures that a layman can manage the problems and come out with a decision or solution. Finally, streaming analytics will ensure that the whole process takes place in real time. All these analytical features have started integrating the neural network features and other machine learning features. The better the integration, the quicker it renders and the better will be the decision making.

The arrival of visual analytics

Neural networks can impact your decision making and hence, visual analytics must intervene to make it happen. Even for the laymen, visual analytics allow you to take decisions based on the data visualization. So, a businessman can now apply the model and find all the answers he or she needs to unearth complex business strategies. There are many analytical tools that a business professional can use if you are looking for the right answers.

Among them, embedded analytics is extremely popular because it is direct and you can implement it through the tool itself. Even a complete novice can use it and bring forth important decisions. Native integration, on the other hand, reaches out to external clusters of deep learning. Framework API is for more sophisticated user as you can access the analytics platform through a programming language like python. If you are an expert in handling more complex mechanisms, then you can use integration as a service scenario. Here, you use external clusters, but using a server-side tool.

For the most experienced users, there is the high-tech cloud service where you can access various pre-given models through the cloud framework of some big names in IT world. If you know what kind of problems you are working with and what kind of features you want to understand, you can use the given analytical tools without much expertise.

Streaming analytics for real time processing

It is only when analytics starts responding real time can its business value start truly surpassing its predecessors. With streaming analytics, you can now analyze new events to decide on the immediate trend as well as in the long run. However, the execution requirements are something worth attending to as the number of processes per unit time, the complicacy of the processes including the number of clusters as well as nodes can significantly impact how much is it plausible to apply real-time analytics.

All these technologies, when harnessed together, can significantly impact the big data scenario and bring success to many fronts. While deep learning is used for complex problems with clear problem statements, visual analytics ensures that a layman can manage the problems and come out with a decision or solution. Finally, streaming analytics will ensure that the whole process takes place in real time. All these analytical features have started integrating the neural network features and other machine learning features. The better the integration, the quicker it renders and the better will be the decision making.

Share4Tweet3Share1Pin1
Srikanth

Srikanth

Passionate Tech Blogger on Emerging Technologies, which brings revolutionary changes to the People life.., Interested to explore latest Gadgets, Saas Programs

Related Posts

Top 48 Data Analytics Providers For Private Cloud Service
Cloud Computing

Top 48 Data Analytics Providers For Private Cloud Service

January 19, 2021
how to improve data literacy
Data Analytics

What is Data Literacy And different level of Data Literacy

October 29, 2020
Deep Learning Libraries
Data Analytics

Top 10 Deep Learning Libraries for Beginners

August 29, 2020
Understanding the Convergence of IoT and data analytics
Internet Of Things

Understanding the Convergence of IoT and data analytics

August 26, 2020
Role of Data analytics in Company’s culture
Data Analytics

Role of Data analytics in Company’s culture

August 7, 2020
Self-Service Analytics
Data Analytics

4 Business Benefits of Self-Service Analytics & Business Intelligence

May 28, 2020

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

I agree to the Terms & Conditions and Privacy Policy.

Latest Stories

How a SERP Checker Can Improve Your Search Rankings
Marketing Trends

How a SERP Checker Can Improve Your Search Rankings

by Srikanth
January 23, 2021
Meet India’s Atmanirbhar Microprocessor chip ‘Moushik’, meant for IoT devices
Internet Of Things

Meet India’s Atmanirbhar Microprocessor chip ‘Moushik’, meant for IoT devices

by Srikanth
January 22, 2021
Bolo Indya
Startup news

Bolo Meets is helping content creators by monetizing their content

by Sony T
January 22, 2021
Increasing Adoption of Informatics will Promote Growth of Data Analytics.
Tech news

Increasing Adoption of Informatics will Promote Growth of Data Analytics.

by Sony T
January 22, 2021
6 Ways AI and ML Together Transforming Endpoint security in 2020?
Tech news

5 Ways Artificial Intelligence Impacts Daily Life

by Sony T
January 22, 2021
Load More
Techiexpert.com

© 2020 All Rights Reserved

  • Terms of use
  • Privacy Policy
  • About Us
  • Contact us
  • Write For Us
  • Cookie Policy

  • Login
  • Sign Up
No Result
View All Result
  • Home
  • Tech news
  • Startups
  • AI
  • IOT
  • Big Data
  • Cloud
  • Data Analytics
  • ML
  • Blogging

© 2020 All Rights Reserved

Welcome Back!

Login to your account below

Forgotten Password? Sign Up

Create New Account!

Fill the forms below to register

*By registering into our website, you agree to the Terms & Conditions and Privacy Policy.
All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In
This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.