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Why Mathematics is Essential for Data Science and Machine Learning

insideBIGDATA

Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI. In this feature article, Daniel D.

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Top 6 YouTube Series for Data Science Beginners

KDnuggets

Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

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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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5 Free Courses to Master Math for Data Science

KDnuggets

Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5 Quirky Data Science Projects to Impress

KDnuggets

Develop unique yet standing-out data science projects to improve your data portfolio.

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9 key probability distributions in data science: Easy explanation

Data Science Dojo

In the realm of data science, understanding probability distributions is crucial. Understanding these distributions and their applications empowers data scientists to make informed decisions and build accurate models. For instance, IQ scores in a population tend to follow a normal distribution.

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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- (..)