Видавець: Packt Publishing

Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley...

Data-Centric Applications with Vaadin 8. Develop and maintain high-quality web applications using Vaadin

Alejandro Duarte

Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen, Nakul Bajaj, Manmohan Gosada, Kirk...

Datadog Cloud Monitoring Quick Start Guide. Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

Thomas Kurian Theakanath

DAX Cookbook. Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

Greg Deckler

DAX for Humans. The No CALCULATE Guide that Makes DAX Easy

Greg Deckler

Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models

Ali Madani

Debunking C++ Myths. Embark on an insightful journey to uncover the truths behind popular C++ myths and misconceptions

Alexandru Bolboacă, Ferenc-Lajos Deák

Decentralized Identity Explained. Embrace decentralization for a more secure and empowering digital experience

Rohan Pinto

Deciphering Object-Oriented Programming with C++ [WARNING: NOT FOR USE IN OTHER MATERIAL/SEE CONTRACT]. A practical, in-depth guide to implementing object-oriented design principles to create robust code

Dorothy R. Kirk

Decoding Large Language Models. An exhaustive guide to understanding, implementing, and optimizing LLMs for NLP applications

Irena Cronin

Deep Inside osCommerce: The Cookbook. Ready-to-use recipes to customize and extend your e-commerce website

Monika Mathe

Deep Learning and AI Superhero. An in-depth guide to mastering TensorFlow, Keras, PyTorch, and advanced AI techniques

Cuantum Technologies LLC

Deep Learning and XAI Techniques for Anomaly Detection. Integrate the theory and practice of deep anomaly explainability

Cher Simon

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks

Ahmed Menshawy

Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling

Wei Di, Jianing Wei, Anurag Bhardwaj

Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python

Dr. Pablo Rivas

Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras

Rajalingappaa Shanmugamani

Deep Learning for Genomics. Data-driven approaches for genomics applications in life sciences and biotechnology

Upendra Kumar Devisetty

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora , Tanuj...

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Deep Learning from the Basics. Python and Deep Learning: Theory and Implementation

Koki Saitoh, Shigeo Yushita

Deep Learning: Practical Neural Networks with Java. Build and run intelligent applications by leveraging key Java machine learning libraries

Alan M. F. Souza, Fabio M. Soares,...

Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Mike Bernico