IT Branche

Online-Bücher in der Kategorie IT Business helfen Ihnen dabei, technische Probleme wie Datenanalyse, Blockchain oder Programmierung zu vertiefen. Hier finden Sie auch großartige Einträge zur Internetwerbung und zur erfolgreichen Führung eines Online-Geschäfts im Allgemeinen. Sie besprechen beispielsweise, wie Marketingdaten analysiert und eine gute Beziehung zum Kunden aufgebaut werden können.

Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries

Alessandro Marrandino

Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps

Joshua Newnham

Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language

Daniel Whitenack

Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems

Andrich van Wyk

Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning

Oliver Theobald

Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov

Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense

Hannu Ranta

Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition

AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)

Machine Learning with R. Expert techniques for predictive modeling - Third Edition

Brett Lantz

Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition

Brett Lantz

Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5

Iván Pastor Sanz

Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning

Brett Lantz

Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala

Md. Rezaul Karim

Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python

Kevin Jolly

Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition

Rajdeep Dua, Manpreet Singh Ghotra

Machine Learning with Swift. Artificial Intelligence for iOS

Alexander Sosnovshchenko, Oleksandr Baiev

Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x

Saif Ahmed, Quan Hua, Shams Ul Azeem

Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics

Rich Collier, Bahaaldine Azarmi

Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition

Rich Collier, Camilla Montonen, Bahaaldine Azarmi

Magia Instagrama. Jak zdobyć milionowe zasięgi w 90 dni

Mirosław Skwarek

Making Big Data Work for Your Business. A clear, practical and simple guide to ensuring effective Big Data analytics for your business

Sudhi Ranjan Sinha

Manage Your SAP Projects with SAP Activate. Implementing SAP S/4HANA

Vinay Singh

Managing Data as a Product. Design and build data-product-centered socio-technical architectures

Andrea Gioia, Giulio Scotti

Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals

Jane Sarah Lat