WOW! eBook

Category: Computer Science & Computer Engineering

Data Analytics & Visualization All-in-One For Dummies 0

Computer Science & Computer Engineering / Databases & Big Data

Data Analytics & Visualization All-in-One For Dummies

eBook Details: Paperback: 832 pages Publisher: WOW! eBook (April 9, 2024) Language: English ISBN-10: 1394244096 ISBN-13: 978-1394244096 eBook Description: Data Analytics & Visualization All-in-One For Dummies: Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path...

Learning Deep Learning: From Perceptron to Large Language Models (Video Course) 0

Computer Science & Computer Engineering / Video Tutorials

Learning Deep Learning: From Perceptron to Large Language Models (Video Course)

Learning Deep Learning: From Perceptron to Large Language Models (Video Course) English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 110 Lessons (13h 23m) | 2.75 GB Learning Deep Learning: From Perceptron to Large Language Models (Video Course): A complete guide to deep learning for artificial intelligence Deep learning (DL) is a key component of today’s exciting advances in machine learning and artificial intelligence. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this Learning Deep Learning: From Perceptron to Large Language Models (Video Course) is ideal for developers, data scientists, analysts, and othersincluding...

Cracking the Data Science Interview 0

Computer Science & Computer Engineering / Databases & Big Data

Cracking the Data Science Interview

eBook Details: Paperback: 404 pages Publisher: WOW! eBook (February 29, 2024) Language: English ISBN-10: 1805120506 ISBN-13: 978-1805120506 eBook Description: Cracking the Data Science Interview: Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that...

Scalable AI and Design Patterns 0

Computer Science & Computer Engineering / Databases & Big Data / Software Development

Scalable AI and Design Patterns

eBook Details: Paperback: 273 pages Publisher: WOW! eBook (March 26, 2024) Language: English ISBN-10: 8868801570 ISBN-13: 978-8868801570 eBook Description: Scalable AI and Design Patterns: Design, Develop, and Deploy Scalable AI Solutions Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization’s needs and drive innovation in the era of intelligent automation. This Scalable AI and Design Patterns book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including...

Data-Centric Machine Learning with Python 0

Computer Science & Computer Engineering / Databases & Big Data

Data-Centric Machine Learning with Python

eBook Details: Paperback: 378 pages Publisher: WOW! eBook (February 29, 2024) Language: English ISBN-10: 1804618128 ISBN-13: 978-1804618127 eBook Description: Data-Centric Machine Learning with Python: Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. This book will help you understand...