Programming

Our online library contains some publications, thanks to which programming will have no secrets from you. The books included here will introduce you to such languages as HTML, JavaScript, Python and CSS. Due to them, you will also learn how to create effective algorithms, design mobile applications or take care of the correct information architecture on websites.

Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML

Karthikeyan NG

Machine learning, Python i data science. Wprowadzenie

Andreas Müller, Sarah Guido

Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models

Rahul Kumar

Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads

Georgia Kalyva, George Kavvalakis

Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python

Jalaj Thanaki

Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow

Alexia Audevart, Konrad Banachewicz, Luca Massaron

Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Joshua Arvin Lat

Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib

Jillur Quddus

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 Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

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

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

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

Rich Collier, Camilla Montonen, Bahaaldine Azarmi

Magento Extensions Development. Click here to enter text

Jérémie Bouchet

Magento. Przewodnik dla programistów PHP

Allan MacGregor

Makra i VBA w tydzień. Odkryj potęgę programowania!

Mateusz Boryga

Managing Microsoft Hybrid Clouds. Benefit from hybrid cloud scenarios through this detailed guide to Microsoft Azure Infrastructure Services (IaaS)

Marcel van den Berg

Managing Software Requirements the Agile Way. Bridge the gap between software requirements and executable specifications to deliver successful projects

Fred Heath

Managing Virtual Infrastructure with Veeam ONE. Discover ways to manage your virtual infrastructure with Veeam ONE in a development environment

Kevin Sapp

Mapa Agile & Scrum. Jak się odnaleźć jako Scrum Master

Mateusz Żeromski