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Top 10 Deep Learning Tools You Must Know in 2023

Analytics Vidhya

The complex problems in the world of computers and artificial Intelligence need the aid of deep learning tools. Constant updates on tools and newer perspectives to deal with the problems require hands-on expertise and experience handling deep learning tools.

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The Ultimate Guide to AI Voice Generators for 2023 Edition

Analytics Vidhya

They depend on deep learning algorithms trained on significant datasets of previously recorded […] The post The Ultimate Guide to AI Voice Generators for 2023 Edition appeared first on Analytics Vidhya.

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Damian Bogunowicz, Neural Magic: On revolutionising deep learning with CPUs

AI News

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic , to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs. One of the key challenges in developing and deploying deep learning models lies in their size and computational requirements.

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Machine Learning Libraries in 2023

Analytics Vidhya

Organizations are adapting to the newly emerging subset of artificial intelligence called machine learning to keep up with this data […] The post Machine Learning Libraries in 2023 appeared first on Analytics Vidhya.

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30 Best Data Science Books to Read in 2023

Analytics Vidhya

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

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10 Must Have Machine Learning Engineer Skills in 2023

Analytics Vidhya

Introduction In today’s evolving landscape, organizations are rapidly scaling their teams to harness the potential of AI, deep learning, and ML. What started as a modest concept, machine learning, has now become indispensable across industries, enabling businesses to tap into unprecedented opportunities.

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AI trends in 2023: Graph Neural Networks

AssemblyAI

What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023? This suggests a potential shift of perspective: graph-structured data provides a general and flexible framework for describing and analyzing any possible set of entities and their mutual interactions.