Biznes IT
Czy myśleliście kiedyś, w jaki sposób rozpocząć swój biznes w branży IT? Może już prowadzicie własną firmę i Chcecie, aby zaistniała ona w sieci? W tej kategorii znajdziecie książki, w których zawarty jest know-how związany z wieloma rodzajami działalności prowadzonych poprzez internet, czy w inny sposób związanych z nowoczesnymi technologiami w biznesie.
Znajdziecie informacje o systemach zarządzania informacjami o Klientach - popularnych CRM'ach, o zarządzaniu projektami IT, wykorzystaniu potencjału popularnych teraz portali społecznościowych do promocji swojej działalności, czy też poradniki, które pomogą Wam rozwinąć umiejętności pozatechniczne - równie ważne dla Waszych przedsięwzięć.
Książki, ebooki, audiobooki, kursy video z kategorii: Biznes IT dostępne w księgarni Ebookpoint
-
Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
-
Tableau Desktop Cookbook
-
Green IT w zrównoważonym biznesie
-
Product Research Rules
-
Scrum w praktyce
-
Grupologia - jak zarządzać grupami na Facebooku
-
Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
-
Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
-
Systemy IT w Polsce
-
Machine Learning Design Patterns
-
Artificial Intelligence in Finance
-
Kubeflow for Machine Learning
-
Mastering Corda
-
Księga Scrum. Sprawdzone wzorce
-
AI and Machine Learning for Coders
-
Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python
-
Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
-
Learning Microsoft Project 2019. Streamline project, resource, and schedule management with Microsoft's project management software
-
The Self-Service Data Roadmap
-
Scaling Scrum Across Modern Enterprises. Implement Scrum and Lean-Agile techniques across complex products, portfolios, and programs in large organizations
-
The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
-
Hands-On Graph Analytics with Neo4j. Perform graph processing and visualization techniques using connected data across your enterprise
-
Semantic Modeling for Data
-
The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
-
Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
-
Implementing Service Level Objectives
-
Tableau Prep: Up & Running
-
Articulating Design Decisions. 2nd Edition
-
The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
-
The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
-
The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
-
The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
-
The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
-
The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
-
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
-
The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
-
The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
-
Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
-
Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
-
Microsoft 365 and SharePoint Online Cookbook. Over 100 practical recipes to help you get the most out of Office 365 and SharePoint Online
-
Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
-
Xamarin.Forms Projects. Build multiplatform mobile apps and a game from scratch using C# and Visual Studio 2019 - Second Edition
-
Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
-
Dynamic Reteaming. The Art and Wisdom of Changing Teams. 2nd Edition
-
Salesforce for Beginners. A step-by-step guide to creating, managing, and automating sales and marketing processes
-
Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
-
Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
-
Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
-
Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
-
Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
-
The Infinite Retina. Spatial Computing, Augmented Reality, and how a collision of new technologies are bringing about the next tech revolution
-
Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
-
Modern Computer Architecture and Organization. Learn x86, ARM, and RISC-V architectures and the design of smartphones, PCs, and cloud servers
-
Responsive Web Design with HTML5 and CSS. Develop future-proof responsive websites using the latest HTML5 and CSS techniques - Third Edition
-
97 Things Every Scrum Practitioner Should Know. Collective Wisdom from the Experts
-
Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
-
Innovative Tableau. 100 More Tips, Tutorials, and Strategies
-
ECDL Moduł 3 Przetwarzanie tekstów
-
Securing Blockchain Networks like Ethereum and Hyperledger Fabric. Learn advanced security configurations and design principles to safeguard Blockchain networks
-
Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
-
Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
-
Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
-
Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
-
Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
-
Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
-
The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
-
Automatyczna analiza składnikowa języka polskiego
-
Tłumaczenie wspomagane komputerowo
-
The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
-
Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
-
Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
-
Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
-
Lean AI. How Innovative Startups Use Artificial Intelligence to Grow
-
The Data Science Workshop. A New, Interactive Approach to Learning Data Science
-
Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
-
Building Machine Learning Powered Applications. Going from Idea to Product
-
CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam
-
Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
-
Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
-
Advanced Deep Learning with R. Become an expert at designing, building, and improving advanced neural network models using R
-
TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
-
Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
-
Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
-
Dancing with Qubits. How quantum computing works and how it can change the world
-
Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
-
Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
-
97 Things Every Engineering Manager Should Know. Collective Wisdom from the Experts
-
Microsoft Excel 2019 Analiza i modelowanie danych biznesowych
-
The AI Organization. Learn from Real Companies and Microsoftâs Journey How to Redefine Your Organization with AI
-
Managing Data Science. Effective strategies to manage data science projects and build a sustainable team
-
Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide
-
Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
-
Praktyczne uczenie maszynowe
-
PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
-
Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
-
Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
-
Learning DevOps. The complete guide to accelerate collaboration with Jenkins, Kubernetes, Terraform and Azure DevOps
-
Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
-
Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
-
Jak szybko zbudować dochodowy sklep internetowy
-
R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
-
Zarządzanie danymi w organizacji
-
arc42 by Example. Software architecture documentation in practice
-
Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
-
Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT)
-
Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
-
Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
-
Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
-
Practical Automated Machine Learning on Azure. Using Azure Machine Learning to Quickly Build AI Solutions
-
Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
-
Learn Ethereum. Build your own decentralized applications with Ethereum and smart contracts
-
Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
-
Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
-
Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
-
ECDL. Zarządzanie projektami. Moduł S5. Syllabus v. 1.0
-
Zrozumieć Agile Project Management. Równowaga kontroli i elastyczności
-
Testowanie w procesie Scrum. Przewodnik po zarządzaniu jakością oprogramowania w świecie programowania
-
Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition
-
DevOps Paradox. The truth about DevOps by the people on the front line
-
Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications