Бізнес ІТ

Książki online z kategorii Biznes IT pomogą Ci opanować takie zagadnienia techniczne, jak analiza danych, blockchain, czy programowanie. Znajdziesz tutaj także świetne pozycje dotyczące reklamy internetowej i ogólnie tego, jak z powodzeniem prowadzić biznes online. Omawiają one choćby to, jak analizować dane marketingowe oraz budować dobrą relację z klientem.

Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions

Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, ...

Fundamentals of CRM with Dynamics 365 and Power Platform. Enhance your customer relationship management by extending Dynamics 365 using a no-code approach

Nicolae Tarla

Funkcjonowanie e-biznesu. Zasoby, procesy, technologie

Maria Czajkowska, Maciej Malarski

Geek w świecie korporacji. Podręcznik kariery programisty

Michael Lopp

Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Josh Kalin

Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras

Kailash Ahirwar

Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python

Cuantum Technologies LLC

Generatywne głębokie uczenie, wyd. II. Uczenie maszyn, jak malować, pisać, komponować i grać

David Foster

Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud

Scott Bateman, Janahan Gnanachandran, Jeff DeMuth

Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence

Abdishakur Hassan, Jayakrishnan Vijayaraghavan

Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java

Tom Hombergs

Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Michael Hsieh

Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows

Simon Aubury, Ned Letcher, Kris Jenkins

Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization

Asjad Athick, Shay Banon

Getting Started with Flurry Analytics. In today's mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer's guide

Bhanu Birani

Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations

James Church