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October 16, 2020, Auckland
Venue : Karstens Auckland

Machine Learning And Deep Learning Day

October 16, 2020, Auckland
Venue : Karstens Auckland

Machine Learning And Deep Learning Day

October 16, 2020, Auckland
Venue : Karstens Auckland

Machine Learning And Deep Learning Day

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.

COVID 19 Care Details to be followed at our face to face conference

The safety of our attendees and speakers is paramount and as an organisation we will work to ensure the safest environment possible.

First and foremost, the event will comply with all bio-safe measures being put in place by both federal and state governments to ensure the safety of all our speakers and participants.

The event will look to maintain social distancing, increase sanitization, decrease congestion in all areas, food service will be altered to minimize contact and to ensure hygiene,







Who Should Attend :
• 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

  • 8+

    Speakers

  • 8+

    Topics

  • 75

    Tickets

  • 1

    Day

Conference Schedule

X Topic Abstract

I will speak about how our start up aimed to use machine learning and AI to help museums understand visitors better, and to allow museum visitors to have access to relevant archive material.

schedule 08:45AM - 09:15AM Registration / Conference Overview
Consultants, 1.21GWS
schedule 09:30AM - 10:15AM Introduction to Deep Learning for Natural Language Processing
schedule 10:15AM - 10:45AM Tea Break
schedule 10:45AM - 11:30AM Optimization for Deep Learning
schedule 11:30AM – 12:15AM An Analytical Maturity Development Framework for Organisations
schedule 12:15PM - 01:00PM Lunch Break
schedule 01:00PM - 01:45PM How companies are reducing their testing time by up to 80% using Machine Learning
schedule 01:45PM - 02:30PM Disruptive Technologies: AI Advances That Will Transform Marketing
schedule 02:30PM – 03:15PM How Machine Learning and Artificial intelligence has improved energy efficiency at industrial manufacturing sites
schedule 03:15PM - 03:45PM Tea Break
schedule 03:45PM - 04:30PM The role of a Data Scientist in Healthcare - faster diagnosis and better treatment
schedule 04:30PM – 05:15PM NLP: The art of machine understanding human

Conference Ticket Price & Plan

Group of three or more(Early Bird)

NZD 362

Till 31st July, 2020

Conference ticket

Tea break

Group of three or more(Standard)

NZD 434

Till 16th October, 2020

Conference ticket

Tea break

Individual(Early Bird)

NZD 577

Till 31st July, 2020

Conference ticket

Tea break

Individual (Standard)

NZD 722

Till 16th October, 2020

Conference ticket

Tea break



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 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.com, naveen@1point21gws.info

Register Your Attendance At Conference 2020

Any Question? Call: +91 97390 49970