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AI Machine Learning

Track :

Programming

Lessons no : 20

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What will you learn in this course?
  • Develop practical skills in designing and implementing machine learning algorithms for real-world AI applications
  • Apply data preprocessing, feature engineering, and model training techniques to improve machine learning performance
  • Evaluate and optimize machine learning models using metrics like accuracy, precision, recall, and F1 score
  • Utilize popular machine learning frameworks and tools such as TensorFlow, scikit-learn, and Keras
  • Identify appropriate machine learning methods for different AI problems, including supervised, unsupervised, and reinforcement learning
  • Implement ethical AI practices and address bias, fairness, and transparency in machine learning models
  • Troubleshoot common issues in machine learning workflows, including overfitting, underfitting, and data imbalance
  • Integrate machine learning models into AI systems for automation, prediction, and decision-making processes

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 20


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2 Reviews

yogesh singh rawat

nice course 2025-05-27

Hemant Charoskar

It's very useful to college students. 2023-08-23

Amadi Emmanuel

Awesome learning on this great platform I recommend for both starters and professionala 2023-08-18

Daniela Stefania Meza Burgos

l thought it was nice 2023-08-13

Mutasim

Thank you very much 2022-04-25

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Oftentimes, the terms machine learning and artificial intelligence (AI) are used interchangeably; however, they are not the same. AI is basically the umbrella concept, and machine learning is a subset of artificial intelligence.