** Deep Learning G Test Official Text, Shinichi Asakawa, Arisa Ema, Ikuko Kudo, Yusuke Negago, Keisuke Seya, Takayuki Matsui, Yutaka Matsuo, 2018, JDLA ** https://www.amazon.co.jp/深層学習教科書-ディープラーニング-G検定（ジェネラリスト）-公式テキスト-浅川-ebook/dp/B07H2ZR6M2/ It covers a wide range of content from the basics of deep learning to the handling of big data. Beginners.
** Deep Learning from scratch-Theory and implementation of deep learning learned with Python, Yasuki Saito, 2016, O'Reilly Japan ** https://www.amazon.co.jp/ゼロから作るDeep-Learning-―Pythonで学ぶディープラーニングの理論と実装-斎藤-康毅/dp/4873117585 Basic content. Beginners.
** Data analysis technology that wins at Kaggle, Daisuke Kadowaki, Takashi Sakata, Keisuke Hosaka, Yuji Hiramatsu, 2019, Gijutsu-Hyoronsha ** https://www.amazon.co.jp/Kaggleで勝つデータ分析の技術-門脇-大輔/dp/4297108437/ A wide range of practical techniques are introduced. Recommended.
Fluent Python, Clear, Concise, and Effective Programming, Luciano Ramalho, 2015, O'Reil https://www.amazon.com/Fluent-Python-Concise-Effective-Programming/dp/1491946008/ The latter half is difficult to understand at once, but it is a book for those who are familiar with Python to learn more Pythonic writing.
Deep Learning with Python, François Chollet, 2017, Manning https://www.amazon.com/Deep-Learning-Python-Francois-Chollet/dp/1617294438/ A popular book written by the developers of Keras. For beginners to intermediates who can do Python to some extent and have basic knowledge of DL / ML. Recommended.
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow, 2nd Edition, Updated for TensorFlow 2, Concepts, Tools, and Techniques to Build Intelligent Systems, Aurélien Géron, 2019, O'Reilly https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ This is also a classic. Contents that cover the whole of machine learning and deep learning. The 2nd Edition is color printed, so it's easy to see.
Geoprocessing with Python, Chris Garrard, 2016, Manning https://www.amazon.com/Geoprocessing-Python-Chris-Garrard/dp/1617292141/ Little is mentioned about ArcGIS, the book of people who handle GIS data in Python. An open library is used in the book.
Natural Language Processing IN ACTION, Understanding analyzing, and generating text with Python, Hobson Lane, Cole Howard, Hannes Max Hapke, 2019, Manning https://www.amazon.com/Natural-Language-Processing-Action-Understanding/dp/1617294632/ If you want to learn natural language, this is the first book.
Keras Reinforcement Learning Projects, Giuseppe Ciaburro, 2018, Packt https://www.amazon.com/Keras-Reinforcement-Learning-Projects-reinforcement-dp-1789342090/dp/1789342090/ I don't recommend this very much.
Hands-on GPU Programming with Python and CUDA, Dr, Brian Tuomanen, 2018, Packt https://www.amazon.com/Hands-Programming-Python-CUDA-high-performance-ebook/dp/B07FSKH35Q/ A book for learning parallel computing programming of GPU with Python. Some knowledge of C ++ is also required.
Python Bootcamp: Go from zero to hero in Python online course (13 hours), Jose Portilla, Udemy https://www.udemy.com/course/complete-python-bootcamp/ Take 3 to look back on the basics of Python. Take 1.5 to 2 times faster for review.
Python for Data Science and Machine Learning Bootcamp online course (21.5 hours), Jose Portilla, Udemy https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ I forgot the content, but I think it was good.
Python for Financial Analysis and Algorithmic Trading online course (17 hours), Jose Portilla, Udemy https://www.udemy.com/course/python-for-finance-and-trading-algorithms/ Studying finance data. Analysis of conventional finance data, not content like stock forecasting by AI.
Beginning C++ Programming - From Beginner to Beyond online course (39.5 hours), Frank J. Mitropoulos, Udemy https://www.udemy.com/course/beginning-c-plus-plus-programming/ I was interested in GPU programming, so I learned the basics in this course. C ++ itself is difficult in the first place, so you need to study it carefully.
Microsoft Power BI - A Complete Introduction (10.5 hours), Maximilian Schwarzmüller, Maximilian Schwarzmüller, Udemy https://www.udemy.com/course/powerbi-complete-introduction/ English with a German accent, but the content is easy to understand. This alone makes me feel like I've almost mastered Power BI.
CUDA programming Masterclas (11 hours), Kasun Liyanage, Udemy https://www.udemy.com/course/cuda-programming-masterclass/learn/lecture/11833442/ Frustrated by the content and the difficulty of Indian English ...
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