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Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

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Data Science Subjects and Syllabus [Latest Topics Included]

Analytics Vidhya

The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology. Before you decide […] The post Data Science Subjects and Syllabus [Latest Topics Included] appeared first on Analytics Vidhya.

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What is Data Science? A Complete Guide

Analytics Vidhya

Introduction In the modern world, data science(DS) has emerged as one of the most sought-after careers. Fundamentally, it is the art of transforming unstructured data into a usable format and then drawing actionable insights from it. A Complete Guide appeared first on Analytics Vidhya.

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Top 10 GitHub Data Science Projects For Beginners

Analytics Vidhya

This is why data […] The post Top 10 GitHub Data Science Projects For Beginners appeared first on Analytics Vidhya. This is far more than what we can imagine. What’s more surprising is that the number will cross 180 within the next two years.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. But times are changing.

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Top 10 Data Science Companies You Should Know

Analytics Vidhya

Introduction In today’s digital world, data is probably the most vital resource for all businesses that want to make informed decisions. This is where data science comes in— a field of study that relies on historical data and extracts insights from it using statistical and computational methods.

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From Petroleum Engineering to Data Science: Jaiyesh Chahar’s Journey

Analytics Vidhya

Introduction Jaiyesh Chahar, a Petroleum Engineer turned Data Scientist, shares his educational journey, the inspiration behind his switch to data science, and his experiences in the field. With a strong background in petroleum engineering and a passion for mathematics, Jaiyesh found his calling in data science.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. But times are changing.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.

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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills.

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MLOps 101: The Foundation for Your AI Strategy

How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives? What are the core elements of an MLOps infrastructure? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

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Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully. Download the report to gain insights including: How to watch for bias in AI.

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5 Things You Always Wanted to Know About Automating Data Science, But Never Asked!

Speaker: Judah Phillips, Co-CEO and Co-Founder, Product & Growth at Squark

Automating the sophisticated, complex aspects of data science is now simple with the no-code platform Squark. Judah Phillips, the co-CEO & co-Founder of Squark answers the 5 Things You Always Wanted to Know About Automating Data Science, but Never Asked!