Profile cover photo
Profile photo
Digital CRM
169 followers -
Corporate education & Consulting in Disruptive Tech., Analytics, Digital business & Social Media strategies
Corporate education & Consulting in Disruptive Tech., Analytics, Digital business & Social Media strategies

169 followers
About
Posts

Post has shared content
Program: Fundamentals of AI - Machine Learning, Deep Learning, Robotics

#AI #DeepLearning #Robotics #digitalcrm
Blog: The Various Approaches for Development of AI & Natural Language Processing

Artificial Intelligence (AI) may be defined broadly along two dimensions with four discrete definitions in each of these. They may also be subdivided into aligning with thought processes and reasoning and with behaviour. Success measures are based on fidelity to expected human performance and also against an ideal performance measure which may be called rationality. A system is 'rational' if it does the 'right thing', given what it knows.
Read the entire piece here:
https://digicrmetrics.blogspot.com/2017/10/the-various-approaches-for-development.html

Program: Fundamentals of AI - Machine Learning, Deep Learning, Robotics , Singapore
http://ownsite.digicrmetrics.com/education-initiatives/ai-machine-learning

#AI #MachineLearning #Robotics #digitalcrm
Add a comment...

Post has attachment
Blog: Understanding Artificial Intelligence and the Shades of Difference Among its Subsets

Program: *Fundamentals of AI - Machine Learning, Deep Learning, Robotics

Program Overview

This program is for executives and professionals who want to learn about the game changing disruptive technologies of the 21st century like Artificial Intelligence (AI), Machine Learning, Deep Learning and Smart Robotics that are being adopted rapidly across industries and a large number of functional domains in these industries.
The program covers key concepts, applications across several domains and several use cases to illustrate how these technologies can increase efficiencies, trigger innovations and help to create competitive advantages.

For further details, take the jump to this link:
http://ownsite.digicrmetrics.com/education-initiatives/ai-machine-learning

#AI #DeepLearning #Robotics #digitalcrm
Add a comment...

Post has attachment
Program: Fundamentals of AI - Machine Learning, Deep Learning, Robotics
Singapore

Key takeaways for participants:

Equipping oneself for a rewarding career in Data Science and AI.
Getting a theoretical and application grounding of the two most popular languages used in Analytics, Machine Learning & AI.
Picking up two of the hottest and most sought-after skills currently for software development professionals.

For further details take the jump to: https://goo.gl/FgpEi2

Blog: Robotics in the Era of Artificial Intelligence

#AI #MachineLearning #digitalcrm




Add a comment...

Post has shared content
Program: Data Science, Analytics and AI Pro - The 'R' and Python Programming Bootcamp

Some more good reasons for learning 'R' & Python

R is open-source and freely available. Unlike SAS or Matlab, you can freely install, use, update, clone, modify, redistribute and resell R. This saves companies money, but it also allows for easy upgrades, which is useful for a statistical programming language.

R is cross-platform compatible. R can be run on Windows, Mac OS X and Linux. It can also import data from Microsoft Excel, Microsoft Access, MySQL, SQLite, Oracle and other programs.

R is a powerful scripting language. As such, R can handle large, complex data sets. R is also the best language to use for heavy, resource intensive simulations and it can be used on high performance computer clusters.

R has widespread acclaim. With an estimated 2 million users, R is one of the top programming languages of 2017.


Python is easy to learn. Like Java, C and Perl, the basics of Python are easier for newbies to grasp. A programmer coding in Python writes less code owing to the language’s user-friendly features like code readability, simple syntax, and ease-of-implementation.

Python is easier to debug. Bugs are every programmer’s worst nightmare, which is why Python’s unique design lends itself well to programmers starting out in data science. Writing less code means it is easier to debug. Programs compiled in Python are less prone to issues than those written in some other languages.

Python is widely used. Like R, the Python programming language is used in a variety of software packages and industries. Python powers Google’s search engine, YouTube, DropBox, Reddit, Quora, Disqus and FriendFeed. NASA, IBM and Mozilla rely heavily on Python. As a skilled Python specialist, you might land a job at one of these big name companies.

Python is an object-oriented language. A strong grasp of the fundamentals will help you migrate to any other object-oriented language because you’ll only need to learn the syntax of the new language.

Python is open source. As an open-source programming language, Python is free, which makes it appealing to startups and smaller companies. It’s simplicity also makes it appealing to smaller teams.

#AI #DataScience #RProgramming #Python #digitalcrm

Program: Data Science, Analytics and AI Pro - The 'R' & Python Programming Bootcamp

Why 'R' and Python
A good conceptual & application knowledge of the two most popular & widely used languages in the domains of Data Science & Analytics, Machine Learning and AI helps launch an individual for an exciting & rewarding career in these domains.
Good first languages for learning the basics of easily readable, elegant code which looks like rudimentary English or simple, abstract Mathematics.
Both ‘R’ and Python allow the programmer to code quickly. Owing to their agile design and flexibility, these languages are used by several enterprises for a variety of other applications including web development.
Data Science, Analytics, Machine Learning & AI are among the fastest growing and most rewarding domains for professionals and a grounding in both ‘R’ & Python is the ideal launchpad for a rewarding career in these domains.

Key takeaways for participants:
1. Equipping oneself for a rewarding career in Data Science and AI.

2. Getting a theoretical and application grounding of the two most popular languages used in Analytics, Machine Learning & AI.

3. Picking up two of the hottest and most sought-after skills currently for software development professionals.

#DataScience #RProgramming #Python #digitalcrm
Add a comment...

Post has attachment
Program: Data Science, Analytics and AI Pro - The 'R' & Python Programming Bootcamp

Why 'R' and Python
A good conceptual & application knowledge of the two most popular & widely used languages in the domains of Data Science & Analytics, Machine Learning and AI helps launch an individual for an exciting & rewarding career in these domains.
Good first languages for learning the basics of easily readable, elegant code which looks like rudimentary English or simple, abstract Mathematics.
Both ‘R’ and Python allow the programmer to code quickly. Owing to their agile design and flexibility, these languages are used by several enterprises for a variety of other applications including web development.
Data Science, Analytics, Machine Learning & AI are among the fastest growing and most rewarding domains for professionals and a grounding in both ‘R’ & Python is the ideal launchpad for a rewarding career in these domains.

Key takeaways for participants:
1. Equipping oneself for a rewarding career in Data Science and AI.

2. Getting a theoretical and application grounding of the two most popular languages used in Analytics, Machine Learning & AI.

3. Picking up two of the hottest and most sought-after skills currently for software development professionals.

#DataScience #RProgramming #Python #digitalcrm
Add a comment...

Post has attachment
Program Overview

This program is for executives and professionals who want to learn about the game changing disruptive technologies of the 21st century like Artificial Intelligence (AI), Machine Learning, Deep Learning and Smart Robotics that are being adopted rapidly across industries and a large number of functional domains in these industries.
The program covers key concepts, applications across several domains and several use cases to illustrate how these technologies can increase efficiencies, trigger innovations and help to create competitive advantages.

Key Takeaways for Participants

1. Gain an understanding of the fundamentals and business applicabilities of disruptive technologies like Artificial Intelligence (AI) Machine Learning (ML), Deep Learning and Robotics.

2. Gain insights, through a variety of applications & use cases, about the disruptions, business models, decision support systems, projections and innovations that AI powered apps & systems can bring about in various functional domains of a corporation.

3. Understand the steps involved in the process of deploying AI based tools and models and also the specializations and skills needed to become an AI professional.
Add a comment...

Post has attachment
Program: Fundamentals of AI - Machine Learning, Deep Learning, Robotics -- Singapore

Key Takeaways for Participants
1. Gain an understanding of the fundamentals and business applicabilities of disruptive technologies like Artificial Intelligence (AI) Machine Learning (ML), Deep Learning and Robotics.

2. Gain insights, through a variety of applications & use cases, about the disruptions, business models, decision support systems, projections and innovations that AI powered apps & systems can bring about in various functional domains of a corporation.

3. Understand the steps involved in the process of deploying AI based tools and models and also the specializations and skills needed to become an AI professional.

#AI #DeepLearning #Robotics #digitalcrm
Add a comment...

Post has attachment
Program: Fundamentals of AI - Machine Learning, Deep Learning, Robotics

Key Takeaways for Participants

1. Gain an understanding of the fundamentals and business applicabilities of disruptive technologies like Artificial Intelligence (AI) Machine Learning (ML), Deep Learning and Robotics.

2. Gain insights, through a variety of applications & use cases, about the disruptions, business models, decision support systems, projections and innovations that AI powered apps & systems can bring about in various functional domains of a corporation.

3. Understand the steps involved in the process of deploying AI based tools and models and also the specializations and skills needed to become an AI professional.

#AI #MachineLearning #Robotics #digitalcrm
Add a comment...

Post has attachment
Program: Data Science, Analytics and AI Pro - The 'R' and Python Programming Bootcamp

Why 'R' and Python

A good conceptual & application knowledge of the two most popular & widely used languages in the domains of Data Science & Analytics, Machine Learning and AI helps launch an individual for an exciting & rewarding career in these domains.
Good first languages for learning the basics of easily readable, elegant code which looks like rudimentary English or simple, abstract Mathematics.
Both ‘R’ and Python allow the programmer to code quickly. Owing to their agile design and flexibility, these languages are used by several enterprises for a variety of other applications including web development.
Data Science, Analytics, Machine Learning & AI are among the fastest growing and most rewarding domains for professionals and a grounding in both ‘R’ & Python is the ideal launchpad for a rewarding career in these domains.

#RProgramming #Python #digitalcrm
Add a comment...

Post has attachment
Key takeaways for participants:

1. Equipping oneself for a rewarding career in Data Science and AI.
2. Getting a theoretical and application grounding of the two most popular languages used in Analytics, Machine Learning & AI.
3. Picking up two of the hottest and most sought-after skills currently for software development professionals.
Commenting is disabled for this post.
Wait while more posts are being loaded