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Today, I will be asking my former colleague, Mr. Sakai, about the theme of "Ask a current AI engineer about the shortest and fastest AI learning roadmap!" I asked him about the steps and what to start learning for those who want to study AI and machine learning in the future! This is a must-see for those who are worried about how to study! ■ Books recommended by Sakai Statistical Analysis "All you need to know about Excel data analysis, starting from the basics of statistics" https://www.amazon.co.jp/dp/4295011088/ "Introduction to statistical analysis using Python" https://www.amazon.co.jp/dp/4274222349/ "Introduction to data interpretation for analysts" https://www.amazon.co.jp/dp/4802612907/ Machine Learning "The quickest way to understand the mathematics of deep learning" https://www.amazon.co.jp/dp/4296102508/ "A textbook that will help you understand the mechanisms and technologies of machine learning and deep learning in one book" https://www.amazon.co.jp/dp/429710640X/ "Practical machine learning using scikit-learn, Keras, and TensorFlow" https://www.amazon.co.jp/dp/4873119286/ "Data Analysis Techniques to Win on Kaggle" https://www.amazon.co.jp/dp/4297108437/ "Learn while you create! Advanced Deep Learning with PyTorch" https://www.amazon.co.jp/dp/4839970254/ "Machine Learning System Design Patterns for AI Engineers" https://www.amazon.co.jp/dp/4798169447/ ■ If you would like to consult with Sakai about a project, please contact us using the form below for project consultations only. Contact: [email protected] *We do not accept consultations regarding learning. ■ Twitter / 03imanyu ■ Udemy https://www.udemy.com/user/jin-xi-han... #AILearningRoadMap #InterviewWithACurrentAIEngineer