Fahmi Adam, a former oiler in the energy industry, has transitioned to a career in AI/ML and data science. In this guide for beginners, he discusses mastering AI tools for digital nomads seeking financial freedom.
The guide covers essential tools like Jupyter Notebook, Google Colab, TensorFlow, PyTorch, Scikit-learn, Keras, Anaconda, Git/GitHub, Tableau, and Kaggle.
Jupyter Notebook is used for data cleaning, visualization, and machine learning, while Google Colab offers free access to GPUs for testing machine learning models. TensorFlow and PyTorch are popular frameworks for developing and deploying machine learning and deep learning models, respectively. Scikit-learn provides tools for data mining and analysis, and Keras simplifies building neural networks on top of TensorFlow. Anaconda simplifies package management for data science libraries, while Git and GitHub are essential for version control and collaboration. Tableau is a powerful data visualization tool, and Kaggle provides a platform for data science competitions and skill-building.
These tools are recommended for beginners to kickstart their AI learning journey and gain hands-on experience in the field.
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Source link: https://medium.com/@fahmiadam/mastering-ai-tools-a-comprehensive-guide-for-beginners-896bb6bb5ff6