#selfsupervisedlearning

🤖 Understanding Advanced Types of Machine Learning | Part 2

Welcome to Imarticus Learning! 🎓

In Part 1, we explored the fundamentals — Supervised and Unsupervised Learning. Now, it’s time to dive deeper into the next frontier of Machine Learning!

In Part 2, we uncover Reinforcement Learning, Semi-Supervised Learning, and Self-Supervised Learning — along with their real-world impact and applications across industries.

📘 What You’ll Learn

💡 Reinforcement Learning (RL) – How AI learns through trial, error, rewards, and penalties. 📊 Semi-Supervised Learning – A hybrid approach that blends labeled and unlabeled data for better performance. 📈 Self-Supervised Learning – How AI teaches itself to understand data without human-labeled inputs.

🎯 Real-World Use Cases

✔ Reinforcement Learning Example: AI mastering chess and robotics. ♟️🤖 ✔ Semi-Supervised Learning Example: Improving speech and voice recognition systems. 🗣️ ✔ Self-Supervised Learning Example: Powering AI-generated text and image classification. 🧠🖼️

💼 Why Learn with Imarticus Learning?

📌 Expert Guidance: Learn directly from industry professionals with real-world experience. 📌 Flexible Learning Options: Structured, self-paced, and mentor-led modules. 📌 Comprehensive Support: Mock tests, mentorship, and rich study materials. 📌 Career Success: Turn your learning into tangible career growth with placement assurance.

🚀 Turn Raw Data into Intelligent Predictions with Machine Learning

The Postgraduate Program in Data Science and Analytics (PGA) by Imarticus Learning is designed for graduates and early professionals with up to 3 years of experience.

Program Highlights: 💼 100% Job Assurance | 🌍 2,000+ Hiring Partners ⏱️ 300+ Learning Hours | 🧩 25+ Hands-On Projects 🧠 10+ Tools (Python, Power BI, Tableau & more) 📈 22.5 LPA Highest Salary | 💰 52% Average Salary Hike

Transform your career with practical training, real-world projects, and expert mentorship — and step confidently into the world of AI and Machine Learning.

Here’s an advanced Keras project that builds on self‑supervised contrastive learning—going beyond conventional supervised tasks. It will challenge your expertise and stretch your skills. 🧠 Project Title ai-ml-ds‑XjKLmPqRZb – “Self‑Supervised Contrastive Representation Learning with SimCLR in Keras”Filename: simclr_contrastive_learning_keras.py 🗂 Description Implement the SimCLR framework to…

Here’s an advanced Keras project that builds on self‑supervised contrastive learning—going beyond conventional supervised tasks. It will challenge your expertise and stretch your skills. 🧠 Project Title ai-ml-ds‑XjKLmPqRZb – “Self‑Supervised Contrastive Representation Learning with SimCLR in Keras”Filename: simclr_contrastive_learning_keras.py 🗂 Description Implement the SimCLR framework to…

Here’s an advanced Keras project that builds on self‑supervised contrastive learning—going beyond conventional supervised tasks. It will challenge your expertise and stretch your skills. 🧠 Project Title ai-ml-ds‑XjKLmPqRZb – “Self‑Supervised Contrastive Representation Learning with SimCLR in Keras”Filename: simclr_contrastive_learning_keras.py 🗂 Description Implement the SimCLR framework to…

Here’s an advanced Keras project that builds on self‑supervised contrastive learning—going beyond conventional supervised tasks. It will challenge your expertise and stretch your skills. 🧠 Project Title ai-ml-ds‑XjKLmPqRZb – “Self‑Supervised Contrastive Representation Learning with SimCLR in Keras”Filename: simclr_contrastive_learning_keras.py 🗂 Description Implement the SimCLR framework to…

Here’s an advanced Keras project that builds on self‑supervised contrastive learning—going beyond conventional supervised tasks. It will challenge your expertise and stretch your skills. 🧠 Project Title ai-ml-ds‑XjKLmPqRZb – “Self‑Supervised Contrastive Representation Learning with SimCLR in Keras”Filename: simclr_contrastive_learning_keras.py 🗂 Description Implement the SimCLR framework to…