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Supervised Learning Made Simple: How Machines Learn from Labeled Data

Supervised learning is considered one of the main areas in the field of machine learning. You can see the same approach used in both suggestions on YouTube and in hospital diagnosis. This article will focus on what supervised learning is, the situations it is applied to, and how students can start working with types such as classification and regression. What Is Supervised Learning? Supervised learning means the model is trained on data that has labels assigned to it. Since you have the correct answer (label) for each point in your dataset, you train your model to learn how to come up with that answer by itself. Real-Life Analogy : How would you teach a child how to spot and recognize fruits? You put a red round fruit in front of them and name it as an apple . Show the yellow long fruit and tell your child, “This is called a banana. ” They can recognize apples and bananas on their own after seeing enough of them. That’s supervised learning. You enter raw data and the correct solut...
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Top 5 Free Resources to Learn Machine Learning in 2025

 

Introduction

Machine Learning (ML) is one of the most exciting fields in technology today. Whether you’re a beginner or looking to deepen your knowledge, free resources can help you master ML without breaking the bank. Here are the top 5 free resources to learn ML in 2025!

1. Google’s Machie Learning Crash Course

Best for: Beginners who want a structured introduction.

Google offers a free ML Crash Course with hands-on coding exercises, real-world case studies, and video lectures.

🔗 ML Crash Course

Why you should try it: ✅ Covers ML fundamentals ✅ Interactive exercises in TensorFlow ✅ Created by Google AI researchers

2. Fast.ai’s Practical Deep Learning for Coders

Best for: Those who want to quickly build deep learning models.

Fast.ai provides a top-tier ML & Deep Learning course designed for developers with coding experience.

🔗 Fast.ai Course

Why you should try it: ✅ Hands-on deep learning with PyTorch ✅ Real-world applications ✅ Great for self-paced learning

3. Andrew Ng’s Machine Learning Course (Coursera)

Best for: Those who prefer a university-style structured learning experience.

Andrew Ng’s legendary ML course is still one of the best introductions to ML in 2025.

🔗 Coursera ML Course

Why you should try it: ✅ Taught by one of the pioneers of ML ✅ Covers theoretical and practical aspects ✅ Free to audit (paid for a certificate)

4. Kaggle’s Machine Learning Micro-Courses

Best for: Hands-on learners who want to build ML models quickly.

Kaggle offers bite-sized ML courses that include interactive notebooks, competitions, and datasets.

🔗 Kaggle Courses

Why you should try it: ✅ Learn by coding ✅ Work with real datasets ✅ Community-driven learning

5. MIT’s Introduction to Deep Learning

Best for: Those who want a solid academic foundation in deep learning.

MIT provides a comprehensive deep learning course with lectures, slides, and assignments.

🔗 MIT Deep Learning

Why you should try it: ✅ Taught by MIT professors ✅ Covers modern deep learning techniques ✅ Includes research-based learning

Conclusion

With these free resources, you can kickstart your Machine Learning journey in 2025 without spending a dime. Start learning today and build amazing ML projects!

Did I miss any great resources? Let me know in the comments! 🚀

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