Home Webinars 10 exciting webinars and workshops on machine learning

10 exciting webinars and workshops on machine learning


2020 has been a turbulent year so far, with many professionals unemployed due to the massive pandemic outbreak. However, one of the ways that professionals maintain their relevance in their organizations as well as in the industry is to hone and learn the latest tools and technologies in this evolving field. Webinars and workshops have always been a great way for professionals and enthusiasts to stay on top of the latest trends and technologies.

For attendees, these webinars and workshops are not only an easy way to learn about and educate themselves on the latest tools and technologies, but also allow them to hear from the best minds in the industry on relevant topics. In fact, for a few years now, big tech companies have been running free webinars and workshops, which will not only stimulate the community and users in general, but also be a great marketing tool to spread awareness of their solutions and services.

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With machine learning being explored across various industries including healthcare, e-commerce, finance, and retail, the possibilities are endless. In this article, we’re going to list ten must-see machine learning webinars and online workshops.

Read also: Why Deep Learning DevCon is Coming at the Right Time

Natural language processing (NLP) from scratch

Date and hour : September 26, 2020

On: Natural Language Processing (NLP) From Scratch is a one-day workshop hosted by the Association of Data Scientists, a global professional body of data science and ML professionals. Scheduled for Saturday September 26, 2020, this workshop will cover topics such as introduction to natural language processing; syntax, semantics and pragmatics; representation of texts; and tokenization as well as text analysis; text classification; Word embeddings, etc. The workshop is accompanied by prior knowledge of Python, a basic understanding of linear algebra and vectors, and familiarity with Google Colab and the GPU environment.

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How accelerated GPUs are helping data scientists

Date and hour : September 30, 2020, 4:00 p.m. – 4:15 p.m. IST

On: How Accelerated GPUs Help Data Scientists is a webinar hosted by Analytics India Magazine with Senior Solution Architect from Nvidia Graphics, India – Sasikumar and Solution Architect from HP India – B Senthilraj. With immense expertise in the fields of accelerated computing and graphics, the speakers are well known in the field of computer graphics industry. In this webinar, they will cover a comprehensive understanding of what a data science workstation is and how it can help the workforce, as well as the operations of Nvidia GPUs and how to get started with data science. GPU accelerated data. The webinar will be followed by a dedicated Q&A where participants can share their questions for better understanding by the speakers.

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DevCon 2020 Deep Learning

Date and hour : October 29-30, 2020

On: Deep Learning DevCon 2020 or DLDC is a two-day online event hosted by the Association of Data Scientists (ADaSci) with Analytics India Magazine, which brings together deep learning experts from around the world. The event includes a two-day workshop on building deep learning solutions from scratch with Keras. The workshop will cover various topics on deep learning – from its introduction and anticipatory neural networks to improving deep learning models, sequence modeling, automatic encoders, etc. With this workshop, participants will be able to start, develop and apply these models in reality. life applications. The implementations will be taught with Keras using the TensorFlow backend.

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GTC 2020

Date and hour : October 5-9, 2020

On: GTC 2020 is an online event hosted by NVIDIA, aka GPU Technology Conference, for developers, researchers, engineers, and innovators looking to better understand AI and ML. The event includes full-day workshops and webinars from the NVIDIA Deep Learning Institute, which will provide certifications to attendees. The event takes place over five days on four continents and can create endless possibilities to connect experts to get answers to questions in data science, graphics and robotics. Not only will the workshops provide the foundation for deep learning, but they will also learn how to create smart recommendation systems.

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Date and hour : November 5 – 6, 2020

On: MLConf EU is an online event that brings ML experts together under one roof and will provide hands-on training on real-world machine learning. The event aims to teach attendees the practical applications of machine learning with hands-on project experience. Covering topics such as deep learning, computer vision, AI, NLP and data science, this online event will feature lectures from well-known industry professionals. The event also includes a one-on-one consultancy lounge with experts in the field as well as video chat rooms with speakers and attendees. In association with technology companies Google, Microsoft and Samsung, this event will provide a comprehensive understanding of the ML industry.

Click on here find out more.

Read also: Everything about pipelines in machine learning and how are they used?

Ethical Use of Machine Learning in Financial Markets – Myth or Miracle?

Date and hour : Oct 2, 2020 11:00 a.m. Eastern Time [8:30 pm Indian Standard Time (IST)]

On: Ethical Use of Machine Learning in Financial Markets – Myth or Miracle is a webinar hosted by Daniel Liebau, Founder of Lightbulb Capital and Michael Weinberg, Managing Director, Head of Hedge Funds and Alternative Alpha. The webinar will discuss the ethics of machines – whether they are able to behave ethically or the only chance to behave ethically is through intelligent machines. It will focus on AI guidelines issued by financial services regulators that can help businesses avoid the risks associated with it.

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See also

Data science and machine learning for non-programmers

Date and hour : October 14, 2020 at 2:30 p.m.

On: This is an Edureka webinar that covers the basics of data science and machine learning, and answers all the questions non-programmers have in these areas. The Data Science and Machine Learning Webinar for Non-Programmers was designed to help all non-programmers solve their complex machine learning problems and issues. Along with this, the webinar also focuses on various areas and use cases of data science and machine learning, which will allow attendees to understand the complex area.

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IML Machine Learning Workshop

Date and hour : October 19 – 22, 2020

On: This is the fourth annual workshop of the LPCC Inter-Experimental Machine Learning Working Group, which is a forum for the LHC machine learning community. The workshop has been scheduled for four days, where learners can learn about the application of ML to data reduction, reconstruction and construction / marking of the intermediate object. Along with this, it also covers the application of ML to analysis, event classification, simulation and datasets with its challenges. The workshop was designed to provide hands-on tutorials on graphical neural networks, as well as a deeper understanding of these complex topics through lectures.

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Deep learning 2.0

Date and hour : January 28 – 29, 2021, 11 a.m. EST [8:30 PM IST]

On: Deep Learning 2.0 is a virtual summit with seven online events brought together on one platform. The seven online summits include – Deep Learning Landscape Stage; Reinforcement learning stage; Ethics and social responsibility stage; Generative models stage; Enterprise AI stage; Natural language processing stage; and computer vision stage. The event was designed to bridge the gap between the latest advances in technological research and concrete applications in business and society. With renowned speakers on the roster, this event will be a full summit to attend to better understand these complex areas.

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Secure data labeling for machine learning

Date and hour : November 5, 2020 from 11:00 a.m. to 11:45 a.m. EST (8:30 p.m. to 9:15 p.m. EST)

On: This is another webinar from Skyl.ai, which will focus on the risks associated with data annotations and how to manage data privacy. Along with this, the webinar will also discuss how to manage deployments and infrastructure to manage data security and manage collaborative contributors to secure data labeling. In addition to this, it will also provide a demonstration of how to secure the data labeling platform. With this webinar, attendees will understand an integral part of AI and ML, namely annotating or labeling data.

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