eBooki
W kategorii eBooki znajdziesz książki w postaci elektronicznej, w formie PDF, ePub oraz mobi. Po zakupie e-booka będzie on dostępny w Bibliotece na koncie użytkownika. Książki przeczytasz na laptopie, tablecie, smartfonie lub czytniku ebooków (Kindle, Pocketbook, inkBOOK, Prestigio i innych). Więcej na temat wykorzystania i zabezpieczenia eBooków znajdziesz na stronie "Przewodnik po eBookach".
Ebooki dostępne w księgarni Ebookpoint
-
Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
-
SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
-
TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
-
Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
-
Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
-
R Programming By Example. Practical, hands-on projects to help you get started with R
-
Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
-
IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
-
Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
-
Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
-
Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
-
Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
-
Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions
-
Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition
-
Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
-
Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
-
Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
-
R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition
-
Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition
-
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
-
AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
-
Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics
-
The Kaggle Book. Data analysis and machine learning for competitive data science
-
Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
-
Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
-
Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
-
Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
-
TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
-
Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
-
Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
-
Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
-
Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
-
Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
-
Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam
-
Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
-
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
-
Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
-
Dancing with Qubits. How quantum computing works and how it can change the world
-
Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
-
Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
-
Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
-
Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
-
The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
-
Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data
-
Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
-
Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
-
Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
-
The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
-
Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
-
Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
-
Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
-
Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
-
Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
-
Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
-
Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
-
Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
-
Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
-
Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
-
In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
-
Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
-
Tłumaczenie wspomagane komputerowo
-
Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
-
Wprowadzenie do uczenia maszynowego według Esposito
-
Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
-
Wykorzystanie sztucznych sieci neuronowych
-
OpenCV 3 Computer Vision Application Programming Cookbook. Recipes to make your applications see - Third Edition
-
100 sposobów na Excel 2007 PL. Tworzenie funkcjonalnych arkuszy
-
Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
-
Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
-
Quantum Computing Algorithms. Discover how a little math goes a long way
-
Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
-
Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense
-
Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
-
Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
-
Data Wrangling on AWS. Clean and organize complex data for analysis
-
Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
-
Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
-
TensorFlow Developer Certificate Guide. Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
-
Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
-
Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems
-
Streamlit for Data Science. Create interactive data apps in Python - Second Edition
-
Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
-
The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
-
Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
-
Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
-
Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
-
Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
-
AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
-
Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
-
Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
-
Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
-
Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
-
Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale
-
Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
-
Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
-
Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
-
Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language
-
Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
-
Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
-
Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
-
Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
-
Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
-
Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
-
Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
-
Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
-
Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
-
Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
-
Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
-
Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
-
Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
-
LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
-
Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
-
Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
-
Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
-
Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
-
Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition