10/ Kaggle AI report 2023, link URL
9/ 2023 - ML_AI_Data Landscape: the definitive market map of companies and products in machine learning, artificial intelligence and data, compiled by FirstMark.
8/ AI for Good Specialization: AI and Public Health, AI and Climate Change, AI and Disaster Management.
7/ III.4 Machine Learning_ Theory and Hands-on Practice with Python Specialization:
- Introduction to Machine Learning: Supervised Learning
- Unsupervised Algorithms in Machine Learning
- Introduction to Deep Learning
6/ IBM Data Science-(certificate), Credly URL
5/ Deep learning-(certificate)
4/ DeepLearning.AI TensorFlow Developer-(certificate)
3/ TensorFlow: Data & Deployment-(certificate)
2/ TensorFlow: Advanced Techniques-(certificate)
1/ Machine Learning Engineering for Production (MLOps)
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Identify the key components of the ML lifecycle and pipeline and compare the ML modeling iterative cycle with the ML product deployment cycle.
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Understand how performance on a small set of disproportionately important examples may be more crucial than performance on the majority of examples.
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Solve problems for structured, unstructured, small, and big data. Understand why label consistency is essential and how you can improve it.