DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. Current professionals seeking to transition into the data-tech domain or data science professionals seeking to enhance their career growth and development can also benefit from these sessions. In this blog post, we will introduce you to some of the upcoming DataHour sessions, including contrastive learning for image classification, feature engineering, POS tagging, document segmentation using Layout Parser, and many more. Each session is designed to provide you with insights into various data tech topics, techniques, and methods. Attendees will learn from experts in the field, gain practical knowledge, and get to ask questions to clear their doubts.

The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions. These sessions provide not only theoretical knowledge but also cover practical demonstrations of the topics, thus making the learning efficient and usable. Scroll to learn about the upcoming DataHour below, and register yourself now! Blockchain is a data structure that creates a public or private distributed digital transaction ledger.

Do you know that, for the past 5 years, 'Data Scientist' has consistently ranked among the top 3 job professions in the US market? Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. To upskill yourself, and expand your Data Tech knowledge, mark your calendars and benefit from the FREE DataHour sessions. Here, at Analytics Vidhya, we aim to build a future Data-Tech Community.

MLOps is an abbreviation for Machine Learning Operations and a basic component of Machine Learning engineering that focuses on optimising the process of deploying machine learning models and subsequently maintaining and monitoring them. MLOps is a collaborative function that frequently includes data scientists, devops engineers, and IT. MLOps allows for the automated testing of machine learning artefacts (e.g. Anish has been a Lead Data Science consultant for various Fortune 500 customers for a long time and has helped over 2000 employees into the Data Science profession. He is an MSc in Data Science and a technical writer for the top Data Science magazines.

We're getting Prabakaran Chandran on board to lead an interactive DataHour session with us. He has been working with Mu Sigma, a prestigious company as a Data and Decision Scientist that specializes in problem-solving, since 2019. He is skilled in SQL, Python, R, Advanced Analytics, and Statistics. In the fields of computer vision, natural language processing, and deep learning, he worked with a team of two people to develop AI-based solutions for Fortune 500 companies. He will be explaining Causal Inference and demonstrate how it may be applied to a specific use case in Python.

The latest edition of our flagship learning series on everything in and about data analytics is sure to excite your minds, be prepared for the DataHour on Building your First Chatbot using Open Source Tools. The session will be hosted by Dr. Rachael Tatman- Staff Developer Advocate at Rasa, the world's leading conversational AI platform, that enables enterprises to revamp customer experience with cutting-edge open-source machine learning implementations. In this session, you will be led on an engaging journey of using the open-source platform Rasa, and the lecture will be helmed by an ex-Googler and an instructor at the University of Michigan, Dr. Rachael Tatman. The session is for both freshers and professionals alike who would like to design chatbots to improve the CX for their organisations or simply get hands-on experience with open source tools like Rasa. Chatbots have been around for some time.

We are happy to bring you yet another exciting webinar for you! Yup, you heard it right! The DataHour Series brings Anastasiia to conduct a webinar on how to stay relevant in the Booming World of AI. We hope, you're excited and eager to learn new things that we have planned for you all. In this webinar, you will get familiar with the most popular AI directions as well as understand where to start in order to successfully work in these areas.

In this DataHour, Prashant will share some important lessons learned while working and managing data science projects. He will describe how to combine research and execution. Also how to scale experimentation, reduce the need of labeled data, share features, handle privacy modeling, error analysis, and ROI generation. You will also learn how you can combine data science and other fields such as Psychology to get deeper insights from data. Prashant K Dhingra is the Managing Director for Machine Learning at JP Morgan Chase.