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Tools for machine learning: TensorFlow: Powering Machine Learning What it is:TensorFlow is an open-source platform for building machine learning models. Key benefits: Flexible: Build various models, from simple to complex. Scalable:Handles large datasets and complex models efficiently. Open-source: Extensive resources and a large community for support. TensorFlow empowers you to build intelligent applications!
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CompSciย โขย 1y
Here are some AI tools which are useful for the startups: 1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models. 2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.
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Day 2/100 : free AI resources sharing topic of day : machine learning Books โMachine Learning For Absolute Beginnersย by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf โHands-On Machine Learning with
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Excited to dive into Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow Machine learning is evolving rapidly, and this book is a goldmine for anyone looking to build intelligent systems using the latest tools and frameworks. From Scikit
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Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. ๐ These models outperform some rivals and spark debate over open versus closed source AI de
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Bhavish Aggarwalโs AI startup, Krutrim AI, has begun hosting Chinese GenAI company DeepSeekโs open-source models on its cloud platform. Five models, ranging from 8 billion to 70 billion tokens, are now live on Indian servers at the worldโs lowest p
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Tech giants like Google, Microsoft, Amazon, and Facebook are major contributors to open source projects such as Kubernetes, React, and TensorFlow. Their involvement provides resources, governance, and wider adoption but raises concerns about control
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