Advanced Data Analytics Using Python, 2nd Edition
by Sayan Mukhopadhyay, Pratip Samanta
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment.Generic design patterns in Python programming is clearly explained,...
Price: $33.88 | Publisher: Apress | Release: 2023
by Barry Walsh
This book is a guide to productionizing AI solutions using best-of-breed cloud services with workarounds to lower costs. Supplemented with step-by-step instructions covering data import through wrangling to partitioning and modeling through to inference and deployment, and augmented with plenty of Python code samples, the book has been written to accelerate the process of moving from script or notebook to a...
Price: $48.42 | Publisher: Apress | Release: 2023
Artificial Neural Networks with Java, 2nd Edition
by Igor Livshin
Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network processing. You also will learn how to prepare the data to be used in ...
Price: $41.12 | Publisher: Apress | Release: 2022
Hands-on Machine Learning with Python 
by Ashwin Pajankar, Aditya Joshi
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who wil...
Price: $38.06 | Publisher: Apress | Release: 2022
Automated Deep Learning Using Neural Network Intelligence
by Ivan Gridin
Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-par...
Price: $42.96 | Publisher: Apress | Release: 2022
by Dino Esposito, Francesco Esposito
ML.NET brings the power of machine learning to all .NET developers and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks (ML Tasks) for regression,...
Price: $34.56 | Publisher: Microsoft Press | Release: 2022
Essential Math for Data Science
by Thomas Nield
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insi...
Price: $44.67 | Publisher: O'Reilly Media | Release: 2022
Azure AI Services at Scale for Cloud, Mobile, and Edge 
by Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman
Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications f...
Price: $26.38 | Publisher: O'Reilly Media | Release: 2022
by Kence Anderson
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial cont...
Price: $45.95 | Publisher: O'Reilly Media | Release: 2022
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
by Aurelien Geron
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help yo...
Price: $21.99 | Publisher: O'Reilly Media | Release: 2022