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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

Just completed a deep dive into how neurons and layers in neural networks mirror linear and logistic regression and how TensorFlow simply automates the math we've already learned. I revisited core concepts from linear and logistic regression and saw

🚀 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 ✔

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.

Imagine a world where your entire dev stack is open-source, community-driven, and optimized for performance — that’s ProXentix. Whether you're working on websites, mobile apps, or data science, we provide frameworks that are easy to learn and powerfu

🚀 Looking for a Co-Founder – AI Engineer 🤖 We’re building Fluency AI, an AI-powered language learning app that helps users learn through real conversations. Our team is growing, and we’re looking for a co-founder with AI expertise to help bring th

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

Vibe Coding: The Future of Software Development?? A Deep Dive into Vibe Coding: Best Tools, Real-World Examples, and How This AI-Driven Approach Is Shaping the Future of App Development. Read Full article: https://career-tech-insight.beehiiv.com/p/

🧠 *Technologies for Data Science, Machine Learning & AI!* part 1 📊 *Data Science* ▪️ Python – The go-to language for Data Science ▪️ R – Statistical Computing and Graphics ▪️ Pandas – Data Manipulation & Analysis ▪️ NumPy – Numerical Computing ▪️

Python + AI Entrepreneurship Roadmap Stage 1 – Identify AI Opportunity (Solve Real-World Problems) Stage 2 – Build Python/AI Skills (ML, Deep Learning) Stage 3 – Design AI Product (Prototyping with Flask/TensorFlow) Stage 4 – Validate AI Model (Data