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September 10, 2021

World Machine Learning Summit - ANZ


Global Online Live Conference
All time mentioned in Melbourne Time Zone

September 10, 2021

World Machine Learning Summit - ANZ


Global Online Live Conference
All time mentioned in Melbourne Time Zone

September 10, 2021

World Machine Learning Summit - ANZ


Global Online Live Conference
All time mentioned in Melbourne Time Zone

Ways to convince Your Boss Ways to Save

Briefly Know About This 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.

Agenda: 10 September , 2021
Track 1 : Tools, APIs & Frameworks
Track 2 : Applications/Use Case







  • 20+

    Global Speakers

  • 20+

    Topics

  • 2

    Tracks

  • 1

    Day Conference

Conference Schedule (September 10, 2021)

Track 1 : Tools, APIs & Frameworks
Track 2 : Applications/Use Case

X Topic Abstract

One of the most important skills for those who work with Machine Learning (ML) is to know which method is the right choice for a given problem. Some choices are trivial however, there is usually a myriad of algorithms that can be used. In addition, productionising a trained model also comes into the production-level pipeline. Modern end-to-end (E2E) learning refers to the entire pipeline of a production-level ML application. This usually consists of infrastructure architecture, data processing, statistical modelling, ML frameworks, distributed computing, deployment as well as user experience (UX). In this talk, we are explaining the journey of a Data Scientist with their required skills/knowledge. What does a full stack hands-on mean? How can Data Scientists or a ML Engineers improve their skill sets to make themselves a contributor in the modern E2E ML product development? These are some of the most important questions data scientists have. We are going to make a clear picture of this journey by demonstrating a real-life customer pattern recognition use case.,

schedule 08:45AM - 09:00AM Registration / Conference Overview
Nitesh Naveen, Founder, 1.21GWS
speaker
 09:00AM - 09:40AM Keynote

schedule 09:40AM - 10:20AM Break
speaker
 10:20AM - 11:00AM Track 1 : On Modern Data Science Model Development - Delta Lake from Feature Generation to ML Model Monitoring and Retraining. - Click Here for More Info
Payam Mokhtarian, Principal Data Scientist, Tabcorp
Track 2 : Recommender Systems
speaker
 11:00AM - 11:40AM Track 1 : Doing More with Less: Building Machine Learning Solutions without Large Labeled Datasets

Track 2 : Chat Bots & Virtual Agents
speaker 11:40AM - 12:20PM Track 1 : Tools demo :TensorFlow, cognitive cloud services, APIs etc for Java, C# and JavaScript.

Track 2 : Natural Language Processing
speaker 12:20PM - 01:00PM Track 1 : Towards a Convenient ML Infra

Track 2 : Forecasting & Event Detection
schedule 01:00PM - 02:00PM Break
speaker 02:00PM - 02:40PM Track 1 : Image & Object Recognition

Track 2 : Automatic Translation & Caption Generation
speaker
 02:40PM - 03:20PM Track 1 : Applying Machine Learning Online at Scale

Track 2 : Visual Inspection & Action Recognition
schedule 03:20PM - 04:00PM Break
speaker 04:00PM - 04:40PM Track 1 : Artificial Intelligence: Miracle or Menace

Track 2 : Entity Recognition & Text Extraction
speaker 04:40PM - 05:20PM Track 1 : Multi Tasking Deep Learning for Natural Language Processing – Transfer Learning

Track 2 : Speech, Gesture & Character Recognition

Conference Ticket Price & Plan

Early Bird

AUD 249

Till 10 August, 2021

Group of 3 or more

AUD 299

Till 10 September, 2021

Individual (Standard Price)

AUD 399

Till 10 September, 2021





Our Sponsors

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Instant Sponsorship :


Avail instant sponsorship at just USD 200


Instant Sponsorship Includes :


Branding of your company as Bronze Sponsor - Company's Logo on the event page with cross link to your website.

One delegate pass.

10% discount on registration fee for any more delegate from your organization.

Introduction Via Email.

Full day attendance 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

nitesh@1point21gws.info, abhilasha@1point21gws.info



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FAQs

Who can attend Machine learning & Deep Learning Day?
• 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 & Deep Learning Day?
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?
Best practices while attending online conference:
Login to your system with the login detail 10 minutes prior to the start time
Should be connected to a good network to avoid interruptions.
Should be at a quiet place while taking your session.
Ensure all other windows are closed and no application is running. This will ensure good audio and video quality
Mute yourself if not expected to speak
Do ask the question via chat box to keep the session lively.
You can Ask questions


Do I need to register for the event?
Yes, all conference attendees must register in advance to attend the event.


Register Your Attendance At Conference 2021

Any Question? Call: +91 9810667556