DataHour: Free Gateway to Data Science World and Technology

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Analytics Vidhya

4 min readFeb 24, 2023

Introduction

Are you interested in learning about Apache Spark and how it has transformed big data processing? Or maybe you’re curious about how to implement a neural network using PyTorch. Or perhaps you want to explore the exciting world of AI and its career opportunities? Whatever your interests, Analytics Vidhya’s DataHour sessions have got you covered. Join industry experts as they share their knowledge and experience in the field of data science and technology.

DataHour: An Introduction to Spark for Data Engineering

In this DataHour, Umesh will make you explore the world of Apache Spark and how it has revolutionized the traditional way of processing big data. Starting from the overview of Spark, including its high-level architecture and features, he will then further explain the advantages of using spark over other technologies. After this, he will demonstrate how to use Spark for data processing with the help of a few coding examples.

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By the end of this session, you will better understand Spark and how to use it for data processing.

DataHour: Implementing a Neural Network using Pytorch

In this DataHour, Shanup Peer (Principal Data Scientist at Openloop Analytics) will demonstrate the implementation process of a Neural Network in PyTorch. This will be a Hands-on session showcasing how to assemble the basic building blocks of a neural network using components available in PyTorch.

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DataHour: Exploring the World of AI and its Career Opportunities

In this DataHour, Mayank will give a brief introduction to the field of AI and its potential to impact our society. The session will center on Machine Learning and why one should pursue a career in this field.

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So, if you want to learn more about how to start your journey in the world of Artificial Intelligence, then this DataHour session is for you.

DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server

Hosting ML Models as an API service is one of the ML model serving patterns when a model is trained offline but hosted for on-demand predictions. Challenges of Real-time inferencing include but are not limited to strict latency constraints, high throughput and high availability assurances, and expectations of auto-scaling to accommodate changes in the volume of incoming requests.

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In this DataHour, Sharmili will introduce you to one such Inference server from Nvidia — Triton Inference Server. She will also walk you through the distinguishing features of Triton that make it powerful.

DataHour: Metrics in Tech — Using Data to Drive Business Decisions

In this DataHour, Eshan will explain the science behind developing metrics to measure product and program performance in detail. He will also explain the framework for metric development.

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Eshan is a Data Science Lead at Google with 11+ years of experience in analytics. He has previously worked in various reputed companies like Facebook, Upgrade, Relevel, etc.

DataHour: Data Science in Banking Industry

The growing banking industry requires a lot of analytical strategies to be at pace with its competitors and to satisfy consumer demands.
In this DataHour, Aman will cover the advantages of using Machine Learning Algorithms and Analytics, in general, to solve the problems in the banking industry through some use cases and practical examples of the industry.