PyTorch: Deep learning framework for flexible AI models.
TensorFlow: End-to-end platform for machine learning.
Scikit-learn: Machine learning tools for data analysis.
Keras: High-level neural network API for quick prototyping.
NumPy: Core library for numerical operations in Python.
Pandas: Data manipulation and analysis library.
Transformers: NLP models for text generation and more.
Matplotlib: Visualization library for plotting graphs.
SciPy: Advanced scientific computations.
Theano: Library for numerical computation and deep learning.
OpenAI: AI tools and models, including GPT-based models.
LangChain: Library for developing language model applications.
NLTK: Toolkit for natural language processing.
OpenCV: Computer vision library for image processing.
Seaborn: Statistical data visualization.
XGBoost: Gradient boosting for structured data.
LlamaIndex: Framework for integrating language models with external data.
- DevOps Certified Professionals (DCP)
- Site Reliability Engineering Certified Professionals (SRECP)
- Master in DevOps Engineering (MDE)
- DevSecOps Certified Professionals (DSOCP)
URL - https://www.devopsschool.com/certification/
My Linkedin - https://www.linkedin.com/in/rajeshkumarin
- Essential Machine Learning Algorithms Every AI Professional Should Master - November 13, 2024
- 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐏𝐲𝐭𝐡𝐨𝐧 𝐥𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 - November 13, 2024
- Top Machine learning frameworks - November 13, 2024
