Artificial Intelligence & Machine Learning

Free Introductory Session on

Artificial Intelligence / Machine Learning

Augment your intelligence by embracing Machine Learning

4 Hour Introductory Seminar

17th June 2018 at 4th Block Jayanagar, Bengaluru

Starts at 9:30 am

Free Seminar with demonstration of Machine Learning Algorithms, Computer Vision & Natural Language Processing

Limited Seats Only

WHY MACHINE LEARNING?

The market for Artificial Intelligence(AI) / Machine Learning(ML) technologies is flourishing. AI/ML is rapidly coming of age, survived the hype and poised to transform businesses and industries globally.

Gone are the days when developers program computers to develop products and services. In a traditional programming, a developer writes instructions for computers using various programming languages while developing products and services. With AI/ML, developers don’t write instructions instead they train computers.

Gartner says AI/ML technologies will be in almost every new software product by 2020. Billions of dollars are invested in new AI/ML developments. IDC estimated that the AI/ML market will grow from $8 billion in 2016 to more than $47 billion in 2020.

To stay competitive, organisations need AI/ML specialists now. To satisfy this high global demand for skilled professionals in the field AI/ML, most technologists need to re-skill to survive AI/ML tsunami!

WHAT YOU LEARN?

What is Machine Learning?

    • In-depth discussion on the paradigm of ML as well as emerging paradigms in intelligent system design and industry trends.

How Machines Learn?

    • Understand why machines need to learn and how machines attain learning ability.

Computer Vision

    • Artificial Neural Network (ANN) is an information processing paradigm inspired by the way biological nervous systems work.

    • Understand how computer vision use Neural Network to recognize objects.

Natural Language Processing (NLP)

    • Natural Language Processing (NLP) is one of the most important technologies of the information age.

    • Discussion on how machines understand Natural language

Building Career in Machine Learning

    • In-depth discussion on what it takes to build your career in Machine Learning.

    • Keeping up with Machine Learning trends.

    • Planning Machine Learning projects.

Faculty Profile: KnowledgeWorks Accredited Trainer

He has 20+ year’s experience in software architecture, designing, developing, and deploying large-scale, mission-critical and high transaction enterprise applications. He has vast experience in Telecom, Financial Services, Retail, Services Procurement & Management domains. He works closely with a number of startups and early-stage companies. He is currently focused on Deep Learning initiatives. Instrumental in Architecting AI computer vision based event & item tracking for supply chain IoT automation startup and subjective sentiment analysis platform for a number of startups.

Contact Us

Write: chinmaya@knowledgeworksindia.com

Call: Chinmaya Patil ( +91 9886077575)