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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.

Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data

Day 2/100 : free AI resources sharing topic of day : machine learning Books ✓Machine Learning For Absolute Beginners by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf ✓Hands-On Machine Learning with

📊 Top 5 Open-Source Tools Powering Big Data Innovation Big Data is transforming decision-making, and open-source tools are leading the charge. Here are the must-know platforms: 1️⃣ Apache Hadoop 🗂️ – The backbone for distributed storage & process

Open source models on OpenAI are finally here Check it out:

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

this is why open source wins. closed models are only gonna get more restrictive over time.

Best Open Source LLM:Tencent Hunyuan-Large: The 389 Billion Parameter Model Outperforming Llama 3 and DeepSeek V2

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. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de

🚀 Day 1 of My Machine Learning Journey Machine Learning isn’t magic — it’s built on three strong pillars 👇 🔹 1. Mathematics You don’t need to be a professor in math ❌ Just a clear understanding of these core concepts is enough: ✔ Linear Algebra ✔