Category: Computer Science & Computer Engineering
Computer Science & Computer Engineering
eBook Details: Paperback: 788 pages Publisher: WOW! eBook (April 29, 2021) Language: English ISBN-10: 1800563450 ISBN-13: 978-1800563452 eBook Description: Hands-On Data Analysis with Pandas, 2nd Edition: Get to grips with pandas – a versatile and high-performance library for manipulating, processing, cleaning, and crunching datasets in Python Pandas is a powerful and popular library synonymous with Python data science that makes data wrangling and visualization easy by enabling...
eBook Details: Paperback: 488 pages Publisher: WOW! eBook (May 11, 2021) Language: English ISBN-10: 1800200889 ISBN-13: 978-1800200883 eBook Description: Generative AI with Python and TensorFlow 2: Implement classical and deep learning generative models through practical examples In recent years, generative artificial intelligence has been instrumental in the creation of lifelike data (images, voice, video, music, and text) from scratch. In this Generative AI with Python and TensorFlow 2...
eBook Details: Paperback: 360 pages Publisher: WOW! eBook (April 29, 2021) Language: English ISBN-10: 1838982884 ISBN-13: 978-1838982881 eBook Description: Hands-On Financial Trading with Python: Discover how to build and backtest algorithmic trading strategies with Zipline Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses. The Hands-On Financial Trading with Python book starts by introducing...
eBook Details: Paperback: 370 pages Publisher: WOW! eBook (April 19, 2021) Language: English ISBN-10: 1800562888 ISBN-13: 978-1800562882 eBook Description: Engineering MLOps: Get up and running with machine learning life cycle management and implement MLOps in your organization MLOps is a systematic approach to building, deploying, and monitoring machine learning (ML) solutions. It is an engineering discipline that can be applied to various industries and use cases....
eBook Details: Paperback: 250 pages Publisher: WOW! eBook (May 18, 2021) Language: English ISBN-10: 149209434X ISBN-13: 978-1492094340 eBook Description: Advancing into Analytics: From Excel to Python and R Data analytics may seem daunting, but if you’re an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the...
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