Machine Learning with R, 4th Edition
by Brett Lantz
Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett...
Price: $35.99 | Publisher: Packt Publishing | Release: 2023
SQL Server Advanced Troubleshooting and Performance Tuning 
by Dmitri Korotkevitch
This practical book provides a comprehensive overview of troubleshooting and performance tuning best practices for Microsoft SQL Server. Database engineers, including database developers and administrators, will learn how to identify performance issues, troubleshoot the system in a holistic fashion, and properly prioritize tuning efforts to attain the best system performance possible.Author Dmitri Korotkevi...
Price: $56.95 | Publisher: O'Reilly Media | Release: 2022
SQL Server 2022 Query Performance Tuning, 6th Edition
by Grant Fritchey
Troubleshoot slow-performing queries and make them run faster. Database administrators and SQL developers are constantly under pressure to provide more speed. This new edition has been redesigned and rewritten from scratch based on the last 15 years of learning, knowledge, and experience accumulated by the author. The book Includes expanded information on using extended events, automatic execution plan corr...
Price: $44.99 | Publisher: Apress | 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
Applied Deep Learning with TensorFlow 2, 2nd Edition
by Umberto Michelucci
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, opt...
Price: $48.23 | 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
Automated Machine Learning in Action
by Qingquan Song, Haifeng Jin, Xia Hu
Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. It's written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. AutoML can even be implemented by machine learning novices! If you're new to ML, you'll appreciate how th...
Price: $47.61 | Publisher: Manning | Release: 2022
Natural Language Processing with Flair
by Tadej Magajna
Flair is an easy-to-understand natural language processing (NLP) framework designed to facilitate training and distribution of state-of-the-art NLP models for named entity recognition, part-of-speech tagging, and text classification. Flair is also a text embedding library for combining different types of embeddings, such as document embeddings, Transformer embeddings, and the proposed Flair embeddings.Natur...
Price: $36.99 | Publisher: Packt Publishing | Release: 2022
by Maaike van Putten, Sean Kennedy
Understanding how Java organizes memory is important for every Java professional, but this particular topic is a common knowledge gap for many software professionals. Having in-depth knowledge of memory functioning and management is incredibly useful in writing and analyzing code, as well as debugging memory problems. In fact, it can be just the knowledge you need to level up your skills and career.In this ...
Price: $34.99 | Publisher: Packt Publishing | Release: 2022
Practical Deep Learning at Scale with MLflow
by Yong Liu
The book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified fram...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022