Unlock Learning in the February DataHour Sessions

Atrij Dixit Last Updated : 15 Feb, 2023
4 min read

Introduction

Are you interested in exploring the latest advancements in the data tech industry? Do you want to enhance your career growth or transition into the field? Look no further! Introducing DataHour – a series of expert-led webinars where you can gain hands-on experience, deepen your understanding and connect with leaders in the field.
From Machine Learning using the Orange Data Mining Tool to advanced resume shortlisting, each session is designed to cater to the needs of aspiring individuals, students, freshers, and current professionals. Whether you are looking to expand your knowledge in NLP with BERT and GPT-3 or dive deep into the techniques, challenges, and state-of-the-art developments in Semantic Segmentation, these sessions will provide you with a wealth of information.

Who can Attend these DataHour Sessions?

  • Aspiring individuals who looking to launch a career in the data-tech industry, including students and freshers.
  • Current professionals seeking to transition into the data-tech domain.
  • Data science professionals seeking to enhance their career growth and development.

Table of Contents

DataHour: No-code ML Hands-on using Orange Data Mining Tool

In this DataHour, Priyanka will provide detailed exposure to how to perform Machine Learning using the Orange Data Mining tool.  As various toolboxes deal with structured and unstructured data, hence she will cover a few important toolboxes in the session for structured and unstructured data. She will further demonstrate a Hands-on session on using Data Mining Tools.📅Date: 13th February 2023⌚Time: 07:00 PM IST🔗Registration Link: Register Now

DataHour: No-code ML Hands-on using Orange Data Mining Tool

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DataHour: Advanced Resume Shortlisting using NLP

Nowadays, the official career page mandates us to fill in selective hard-coded information by the recruiter; however, the job description, skills & how soon a candidate can fill the position varies unsteadily, due to which the hiring managers spend an unreasonable amount of time. Using NLP – Spacy models, we can summarize and rank order the resumes with the job description.
📅Date: 13th February 2023⌚Time: 8:30 PM IST🔗Registration Link: Register Now
In this DataHour, Sarveshwaran will walk you through the process of shortlisting the most suitable resumes from all applied applications using the Natural Language Processing model.

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Natural Language Processing with BERT and GPT-3

Natural language processing (NLP) is an area of artificial intelligence that primarily focuses on the understanding and processing of human language. Recently, two powerful language models, BERT and GPT-3 have been developed that are able to generate human-like texts, allowing them to engage in natural-sounding conversations.
📅Date: 14th February 2023⌚Time: 8:30 PM IST🔗Registration Link: Register NowIn this DataHour, Avinash will explain the use of BERT and GPT-3 in natural language processing, from simple tasks like answering a question to more advanced tasks like generating original texts. He will also discuss how these models can be used to do tasks like sentiment analysis, text summarization, and many more. Avinash will also focus on these models’ potential future applications.
DataHour: Natural Language Processing with BERT and GPT-3

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Deep Dive into Semantic Segmentation- Techniques, Challenges, and State-of-the-Art

Semantic segmentation is a critical task in computer vision, where the goal is to assign a semantic label to each pixel in an image. It has a wide range of applications, including medical imaging, autonomous vehicles, and scene understanding. In this DataHour, Kashish will provide you with a deep understanding of the techniques, challenges, and state-of-the-art developments in semantic segmentation.
📅Date: 15th February 2023⌚Time: 7:00 PM IST🔗Registration Link: Register NowYou will also learn about the deep learning techniques used in semantic segmentation, including neural network architectures, loss functions, data pre-processing and augmentation techniques. You will be introduced to the challenges involved in semantic segmentation and ways to address them. Finally, he will explain the state-of-the-art models and their performance on benchmark datasets and the applications of semantic segmentation in various domains.

Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art

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DataHour: Foundations of Cyber Security

This is the first episode of our 3-part DataHour series related to Data Science in the Cyber Security domain. In this DataHour, Nirmal will focus on explaining the basics of cyber security. Before even talking about big data or machine learning in security, it is important to understand the foundational concepts or the basics of cyber security. This webinar will be a prerequisite for future sessions.
📅Date: 15th February 2023⌚Time: 8:30 PM IST🔗Registration Link: Register Now
He will cover what the paradigm of cyber security is in today’s digital world, the very popular OSI (Open Systems Interconnection) model, how the concepts of Defense in Depth and Zero Trust are related, and he will also disclose the risk and compliance frameworks, like NIST and MITRE attack.

DataHour: Foundations of Cyber Security

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Conclusion

Don’t miss out on this opportunity to take your tech journey to the next level. Register for DataHour sessions today and discover a world of possibilities. Have questions? Reach out to the speaker during the session or email us at [email protected]. Missed a session? No problem; catch up with recordings on our YouTube channel and resources sent to your registered email. What are you waiting for? Reserve your spot now!

Connect

If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected].

Atrij--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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