The "Artificial Intelligence and Machine Learning" course offers a comprehensive introduction to AI and ML, covering essential concepts like supervised and unsupervised learning, neural networks, and deep learning. Participants will gain hands-on experience with tools such as TensorFlow and scikit-learn, learning how to implement and evaluate machine learning models for real-world applications. The course blends theoretical knowledge with practical exercises to equip learners with the skills needed to develop and deploy effective AI solutions.
Learn more| Has discount |
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| Expiry period | Lifetime | ||
| Made in | English | ||
| Last updated at | Tue Jul 2024 | ||
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| Total lectures | 16 | ||
| Total quizzes | 0 | ||
| Total duration | 26:29:36 Hours | ||
| Total enrolment |
43 |
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| Number of reviews | 8 | ||
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| Short description | The "Artificial Intelligence and Machine Learning" course offers a comprehensive introduction to AI and ML, covering essential concepts like supervised and unsupervised learning, neural networks, and deep learning. Participants will gain hands-on experience with tools such as TensorFlow and scikit-learn, learning how to implement and evaluate machine learning models for real-world applications. The course blends theoretical knowledge with practical exercises to equip learners with the skills needed to develop and deploy effective AI solutions. | ||
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