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OpenAI • 1y
Understand supervised, unsupervised, and reinforcement learning. Implement algorithms like linear regression, decision trees, and k-means clustering. Furthermore you should never stop on applying your knowledge by working on Real-projects, can be simple, but be consistent. Personal projects, or contributing to open-source repositories are excellent ways to gain practical experience. Showcase your projects on platforms like GitHub. Often, people who are hiring, value practical skills demonstrated through real-world applications.
AI Deep Explorer | f... • 2m
Give me 2 minutes, I will tell you How to Learn Reinforcement Learning for LLMs A humorous analogy for reinforcement learning uses cake as an example. Reinforcement learning, much like baking a cake, involves trial and error to achieve a desired ou
See MoreTuring Data into str... • 7d
🌦 Weather Prediction Using Machine Learning 📊 I’m excited to share one of my recent projects — a Weather Prediction Model built using machine learning! 🚀 📌 Project Overview: The model was trained to predict temperature based on historical weath
See More🚀Building Wheeloy |... • 4m
I need your thoughts, guys: Would you be interested in a future internship in digital marketing with a ₹5k stipend? Although ₹5k isn't much, but as a startup, I can't currently provide full-time salary. I can provide practical experience, guidance
See MoreAI Deep Explorer | f... • 2m
Want to learn AI the right way in 2025? Don’t just take courses. Don’t just build toy projects. Look at what’s actually being used in the real world. The most practical way to really learn AI today is to follow the models that are shaping the indus
See MoreSoftware Developer • 1m
Cloudline Academy: A Trusted Job-Oriented Software Training Institute In the fast-evolving tech industry, where skills and practical experience matter most, Cloudline Academy stands out as a leading job-oriented software training institute. Located i
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