What programming languages and libraries are you proficient in for AI and machine learning tasks

What programming languages and libraries are you proficient in for AI and machine learning tasks?

I am proficient in the following programming languages and libraries for AI and machine learning tasks:

Programming Languages:

• Python: Widely used for AI and machine learning due to its extensive libraries and community support.

• R: Known for statistical analysis and data visualization.

• Julia: Increasingly popular for numerical and scientific computing.

• Java: Often used for large-scale machine learning applications.

• C++: Used for performance-critical applications, including certain machine learning algorithms.

Libraries and Frameworks:

• TensorFlow: An open-source framework developed by Google for building and training neural networks.

• PyTorch: An open-source machine learning library developed by Facebook, known for its dynamic computation graph.

• Keras: A high-level neural networks API, running on top of TensorFlow, Theano, or CNTK.

• Scikit-learn: A machine learning library for Python that provides simple and efficient tools for data mining and data analysis.

• Pandas: A data manipulation and analysis library for Python.

• NumPy: A library for numerical computations in Python.

• SciPy: A library used for scientific and technical computing in Python.

• OpenCV: An open-source computer vision and machine learning software library.

• NLTK (Natural Language Toolkit): A suite of libraries and programs for symbolic and statistical natural language processing.

• SpaCy: An open-source software library for advanced natural language processing.

• Gensim: A library for topic modeling and document similarity analysis.

• XGBoost: A scalable and accurate implementation of gradient boosting machines.

• LightGBM: A fast, distributed, high-performance gradient boosting framework.

• CatBoost: A gradient boosting library from Yandex.

• Matplotlib: A plotting library for the Python programming language and its numerical mathematics extension NumPy.

• Seaborn: A Python visualization library based on Matplotlib.

• Theano: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays.

These tools allow for a wide range of AI and machine learning tasks, from basic data preprocessing and visualization to building and deploying complex neural networks.