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Venturing into AI development can feel overwhelming without the right tools. This guide simplifies the process for beginners, providing a curated list of key resources. From popular programming languages such as Python and Java to crucial libraries like TensorFlow and Keras, each tool is aimed at enhancing the journey of novice AI developers. Python shines with its extensive libraries designed for AI such as TensorFlow and PyTorch, making it a top choice.
Additionally, the guide addresses the foundational aspects of AI project setup with recommended IDEs like Jupyter Notebook and Visual Studio Code which support efficient coding and project management. To handle and model the vast amounts of data inherent in AI, tools like MySQL and Hadoop are highlighted, along with version control systems like Git to streamline project collaboration and version tracking. These integrated tools ensure beginners can navigate and execute AI development with greater ease and effectiveness.
Essential programming languages for AI and machine learning development.
Python
R
Java
C++
JavaScript
Key libraries and frameworks that facilitate AI development.
TensorFlow
PyTorch
Scikit-learn
Keras
Pandas
Popular IDEs and code editors that support AI programming.
Jupyter Notebook
Visual Studio Code
PyCharm
Eclipse
Atom
Tools that assist with processing and organizing AI-focused data sets.
MySQL
Hadoop
Tableau
Power BI
MongoDB
Crucial for team collaborations and tracking changes in AI projects.
Git
SVN
Mercurial