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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 (14th February, 2019)
X Topic Abstract

Role of data science and machine learning that how machine learning algorithms and statistical analysis are reshaping healthcare industry like banking , healthcare and many more !!





X Topic Abstract

One of the uses of AI and machine learning is to make better decisions. Decision support entails causal models to predict the probable outcomes of the various choices in face of uncertainty. This talk will provide an overview of how to apply causal models with examples.



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X Topic Abstract

Strategic planning is a traditional business function which, when performed well, can give a business a powerful competitive advantage. Most businesses perform it poorly, leading to mediocre results and a loss of management confidence. We propose to use RPA, AI, and ML to automate the entire strategic planning process for every organization in the world. Customers will subscribe to a cloud-based system that they will access 24 hours a day and that will give them real-time reports and conclusions on their markets, customers, competitors, and environment.





X Topic Abstract

Financial Scorecards are used widely in all financial organizations for different kinds of ratings. This talk will take you through the building and validation process of a financial scorecard using data.Financial Scorecards are used by banking organizations to judg



Speaker bio

X Topic Abstract

The black box perception of machine learning models presents a barrier to their adoption for many investors. In this talk, I use a case study to many investors. In this talk, I use a case study to briefly discuss simple implementation of machine learning in the investment portfolios and explore ways to interpret and validate predictions.

X Topic Abstract

Deep learning methods are extensively used in image processing, In my talk i will highlight some applications and present some use cases. I will give insights into the inner working for image recognition.

X Topic Abstract

The financial markets are always complex, volatile and unstable which forbids the accurate prediction of future prices. Moreover, financial markets produce large volumes of data at high frequency during each day. The presence of anomalies in voluminous data from multiple data sources may generate catastrophic decisions in market behavior. We propose a Deep Reinforcement Learning technique for detecting anomalies present in the historical daily trading information.

X Topic Abstract

One example is use of NLP and AI in rapid literature review for complex topics that in the past have required human review. Another example is using AI in operational aspects of clinical trials.

X Topic Abstract

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


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Our Speakers


Nirav Shah

Founder

OnPoint Insights


deepti gupta

Strategy consultant and data scientist

IBM


Murray Cantor

Chief Scientist and Data Science Management Consultant

Aptage Consulting


Kevin Sieck

Director - Governance, Risk & Compliance | AI | Machine Learning

Orion


George B. Moseley

CEO & Professor

Strathmore University & AI Driven Strategies


Al Yazdani

Machine Learning and Data Analytics Manager

State Street


Niharika Karia

Data Scientist

Aspen Technology


Rajkumar Joghee Bhojan

Principal Consultant

Wipro Technologies


Chandni Valiathan

Director of Analytics

Kernal Biologics, Inc.


Yi Dong

Deep Learning Solutions Architect

NVIDIA

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

USD 300

Till November 30, 2019
Group of three or more(Standard)

USD 349

Till February 14, 2020
Individual(Early Bird)

USD 409

Till November 30, 2019
Individual (Standard)

USD 469

Till February 14, 2020


To Register Via Eventbrite

Our Testimonial

FAQs

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

• 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 Boston?

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.