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I Currently completed my PGP in Data Science. Who have knowledge in product sense also. Currently Looking to work in Startup Tools and technologies Known : Python,Java, Machine Learning, Deep Learning, NLP, PowerBI, Tableau, Statistics, MySQL, AWS

Hey there, I am a student of computer science and specialization in Artificial intelligence and machine learning I am looking for a 3 months internship in machine learning. I have done one intership previously at UST as a Machine learning intern

Thrilled to attend a One-Day Workshop on “Hands-on Data Visualization using Power BI & Tableau,” organized by I.P.(P.G.) College, Campus-2, Bulandshahr, under the perspective of IQAC, FDC & IIC. A highly insightful session led by Dr. Darshan Pandey,

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.

Should I opt for btech in CSBS or in AiML in a government college CSBS: computer science and business systems AiML: artificial intelligence machine learning

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 lar

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

can anyone provide me internship my age 19 btech 2nd year skills C python java htm,css,js sql git python python libraries like(numpy,pandas) basic ai and machine learning stock market knowledge intermediate

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

🚀 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 ✔