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10 Best Free Data Science eBooks

Analytics Vidhya

Are you excited to explore the amazing field of data science? The top 10 Free Data Science eBooks are included below, and they cover a wide range of subjects from machine learning and statistics to advanced themes. You’re in the proper location!

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9 Best Statistics Books for Data Science in 2024

Analytics Vidhya

Introduction The role of statistics in the dynamic field of data science is foundational, acting as the critical toolset for analyzing and making sense of the vast data landscapes of today. This guide aims to […] The post 9 Best Statistics Books for Data Science in 2024 appeared first on Analytics Vidhya.

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Top Data Science Specializations for 2024

Analytics Vidhya

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more.

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5 Free Data Science Projects With Solutions

Analytics Vidhya

Introduction Are you eager to dive into data science and sharpen your skills? This article will explore five exciting data science projects with step-by-step solutions. Look no further!

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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15 Basic Statistics Concepts Every Data Science Beginner Should Know

Analytics Vidhya

Introduction At the heart of data science lies statistics, which has existed for centuries yet remains fundamentally essential in today’s digital age. Because basic statistics concepts are the backbone of data analysis, enabling us to make sense of the vast amounts of data generated daily.

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What is Tableau? Its Application and Benefits in Data Science

Analytics Vidhya

Introduction Tableau is a powerful data visualization tool that is crucial in Data Science. Its significance lies in its ability to transform complex data into easily understandable visualizations, aiding in better decision-making processes.

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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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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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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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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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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!