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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.

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Book Review: Math for Deep Learning

insideBIGDATA

One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is "Math for Deep Learning" by Ronald T. If you're interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you.

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Apple Machine Learning Research at ICLR 2025

Machine Learning Research at Apple

Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the worlds understanding of this technology and helps to redefine what is possible with it. This week, the Thirteenth International Conference on Learning Representations (ICLR) will be held in Singapore.

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PyTorch vs TensorFlow: Which is Better for Deep Learning?

Analytics Vidhya

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones.

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Hewlett Packard Enterprise Debuts End-to-End AI-Native Portfolio for Generative AI

insideBIGDATA

Today at NVIDIA GTC, Hewlett Packard Enterprise (NYSE: HPE) announced updates to one of the industry’s most comprehensive AI-native portfolios to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications.

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030. Lets dive in!

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The insideBIGDATA IMPACT 50 List for Q3 2024

insideBIGDATA

We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe.

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