Christian11
Member
There are several key tools and libraries in AI development, particularly in machine learning. Python is the primary programming language, supported by libraries such as TensorFlow, PyTorch, Keras, and scikit-learn for machine learning and deep learning. For data analysis and preprocessing, use Pandas and NumPy. To visualize data, Matplotlib and Seaborn are popular choices. OpenCV is used for computer vision tasks, while spaCy and NLTK are excellent for NLP applications. Jupyter Notebooks is commonly used for prototyping and experimenting with AI models. For deployment, tools like Docker, Flask, or FastAPI can help package and serve AI models effectively.
SOURCE: https://www.inoru.com/ai-development
SOURCE: https://www.inoru.com/ai-development