Nov20
Ways to convince Your Boss Ways to Save Submit Your Talk
X

Submit Your Talk

Overview of the event

Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn from data, without being explicitly programmed.

The "deep" in "deep learning" refers to the number of layers through which the data is transformed. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to its original goals. In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation.



Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Conference Schedule

Machine learning and Deep Learning Day (20th November, 2019)

X Topic Abstract

Machine learning can be generally defined as a method or function which enable us to make decisions or learn unknown facts
based on the experience with respect to some class of tasks. This function enable us to solve problems which are difficult to be solved by mere problem solving or programming methods. Several different machine learning methods are used in different areas or problem sets. Basic methods are categorized as supervised machine learning methods and un-supervised machine learning methods. However the basic principle behind all the methods remain the same, that is to learn the facts and make decisions based on the unknown data. The scope of the machine learning methods is vast and varies with the problem definition and situation. I can try to explain some basic Machine learning methods, some research work done, applications, and my own projects.


Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship
Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at contact@1point21gws.com, naveen@1point21gws.info

Our Sponsors


Media Partners


       

Digital Marketing Partner




Marketing Partner




Promotional & Media Partners


    

Our Past Sponsors


Media Partner



Sponsors








Our Speakers


Sanket Chobe

Data Scientist

Wipro Ltd.


Speaker name

Designation

Company name


Speaker name

Designation

Company name


Speaker name

Designation

Company name

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

USD 300

Till July 27
Group of three or more(Standard)

USD 349

Till November 20
Individual(Early Bird)

USD 409

Till October 20
Individual (Standard)

USD 469

Till November 20


Our Testimonial

FAQs

Who can attend Machine learning and Deep Learning Day in Chicago?

• Data Engineers/Developers / Scientists
• Analytics Professionals
• Startup Professionals
• Scientists/Researchers
• Professors
• President/Vice president
• Chairs/Directors

And last but not the least……….
Anyone interested in Machine Learning & thrives to make the future developed and better

Why to attend Machine learning and Deep Learning Day in Chicago?

Understand the state of development of Machine learning by exchanges, clearing houses, central counter parties and payment systems, and what it means for you.

What will you learn about?

Detecting where underlying problems and frictions exist in your organisation that will be alleviated by Machine learning technologies. Using Machine learning as a tool for innovation across your organisation

Are there any prerequisites to attend this program?

No

Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.