Category: Databases & Big Data

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, 2nd Edition 0

Building Computer Vision Applications Using Artificial Neural Networks, 2nd Edition

eBook Details: Paperback: 548 pages Publisher: WOW! eBook; 2nd edition (December 2, 2023) Language: English ISBN-10: 1484298659 ISBN-13: 978-1484298657 eBook Description: Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, 2nd Edition Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition’s publication. All code used in the book has also been fully updated. This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept....

A Power BI Compendium: Answers to 65 Commonly Asked Questions on Power BI 0

A Power BI Compendium

eBook Details: Paperback: 371 pages Publisher: WOW! eBook (November 14, 2023) Language: English ISBN-10: 1484297644 ISBN-13: 978-1484297643 eBook Description: A Power BI Compendium: Answers to 65 Commonly Asked Questions on Power BI Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data? Or do you simply want to extend your knowledge of Power BI by exploring more complex areas of visualizations, data modelling, DAX, and Power Query? If so, this book is for you. This book serves as a comprehensive resource for users to implement more challenging visuals, build better...

Data Science: The Hard Parts: Techniques for Excelling at Data Science 0

Data Science: The Hard Parts

eBook Details: Paperback: 254 pages Publisher: WOW! eBook (December 5, 2023) Language: English ISBN-10: 1098146476 ISBN-13: 978-1098146474 eBook Description: Data Science: The Hard Parts: Techniques for Excelling at Data Science This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the “big themes” of the discipline machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a...

Training Data for Machine Learning: Human Supervision from Annotation to Data Science 0

Training Data for Machine Learning

eBook Details: Paperback: 329 pages Publisher: WOW! eBook (December 19, 2023) Language: English ISBN-10: 1492094528 ISBN-13: 978-1492094524 eBook Description: Training Data for Machine Learning: Human Supervision from Annotation to Data Science Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process. With this Training Data for Machine Learning book, you’ll learn how to: Work effectively with training data including...

Python Deep Learning, 3rd Edition 0

Python Deep Learning, Third Edition

eBook Details: Paperback: 362 pages Publisher: WOW! eBook; 3rd edition (November 24, 2023) Language: English ISBN-10: 1837638500 ISBN-13: 978-1837638505 eBook Description: Python Deep Learning, 3rd Edition: Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using Python The field of deep learning has developed rapidly in the past years and today covers broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This Python Deep Learning, Third Edition book will guide you from the basics of neural networks to the state-of-the-art large language models in use...