Видавець: K-i-s-publishing

Data Wrangling on AWS. Clean and organize complex data for analysis

Navnit Shukla, Sankar M, Sam Palani

Data Wrangling with Python. Creating actionable data from raw sources

Dr. Tirthajyoti Sarkar , Shubhadeep Roychowdhury

Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries

Gustavo Santos

Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL

Raghav Kandarpa, Shivangi Saxena

Database Design and Modeling with Google Cloud. Learn database design and development to take your data to applications, analytics, and AI

Abirami Sukumaran, Priyanka Vergadia, Bagirathi Narayanan

Database Design and Modeling with PostgreSQL and MySQL. Build efficient and scalable databases for modern applications using open source databases

Alkin Tezuysal, Ibrar Ahmed, Peter Zaitsev

Databricks Certified Associate Developer for Apache Spark Using Python. The ultimate guide to getting certified in Apache Spark using practical examples with Python

Saba Shah, Rod Waltermann

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

Data-oriented Development with AngularJS

Manoj Waikar, Manoj M Waikar

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++. 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, Monika Math?É?íÂ!(C)

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

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

Wei Di, Jianing Wei, Anurag Bhardwaj