【学習ステップ公開】AI・機械学習初心者必見！勉強すべき領域や学習の手順について詳しく聞いてみました

Today, I'll be asking my former colleague, Mr. Sakai, about the topic of "The Shortest and Fastest AI Learning Roadmap According to a Current AI Engineer"! For those who want to start studying AI and machine learning, I asked him what steps to take and what to start with! This is a must-see for anyone who's been struggling with how to study! ■ Books Recommended by Sakai Statistical Analysis "Learn Everything You Need to Know About Excel Data Analysis, Starting with the Basics of Statistics" https://www.amazon.co.jp/dp/4295011088/ "Introduction to Statistical Analysis with Python" https://www.amazon.co.jp/dp/4274222349/ "Introduction to Data Interpretation for Analysts" https://www.amazon.co.jp/dp/4802612907/ Machine Learning "The Fastest Way to Understand the Mathematics of Deep Learning" https://www.amazon.co.jp/dp/4296102508/ "A Textbook That Thoroughly Understands the Mechanisms and Technologies of Machine Learning and Deep Learning" https://www.amazon.co.jp/dp/429710640X/ "Practical Machine Learning with Scikit-Learn, Keras, and TensorFlow" https://www.amazon.co.jp/dp/4873119286/ "Data Analysis Techniques for Winning on Kaggle" https://www.amazon.co.jp/dp/4297108437/ "Learn by Building! 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 discuss a project with Mr. Sakai For project inquiries only, please contact us using the form below. Contact: [email protected] *We do not accept consultations regarding learning. ■ Twitter   / 03imanyu   ■ Udemy https://www.udemy.com/user/jin-xi-han... #AILearningRoadmap #InterviewwithActiveAIEngineers