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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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Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ?

Analytics Vidhya

Artificial Intelligence, Machine Learning and, Deep Learning are the buzzwords of. The post Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ? ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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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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Deep Learning vs Machine Learning: 3 Key Differences for Better AI Decisions

Data Science Connect

Artificial intelligence (AI) has revolutionized the way we approach complex problems and analyze data. Two of the most widely used subfields of AI are deep learning and machine learning. What is Machine Learning? What is Deep Learning?

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Deep Learning for Fashionistas: African Attire Detection

Analytics Vidhya

Introduction Fashion has not received much attention in AI, including Machine Learning, Deep Learning, in different sectors like Healthcare, Education, and Agriculture. This is because fashion is not considered a critical field; consider this a fun project!

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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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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.