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
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Data Governance Handbook. A practical approach to building trust in data
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
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LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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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
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
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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
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Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
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Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
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Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
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Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
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Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
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Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT)
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arc42 by Example. Software architecture documentation in practice
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
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Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
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Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
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Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide
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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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Managing Data Science. Effective strategies to manage data science projects and build a sustainable team
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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Building Data Science Teams
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Real-Time Big Data Analytics: Emerging Architecture
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Planning for Big Data
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Data Jujitsu: The Art of Turning Data into Product
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Analyzing the Analyzers. An Introspective Survey of Data Scientists and Their Work
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Uczenie maszynowe: Scikit-Learn, Keras i TensorFlow. Szczegółowy poradnik
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Spark. Zaawansowana analiza danych
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Microsoft SQL Server. Modelowanie i eksploracja danych
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The Enterprise Data Catalog
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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Building an Event-Driven Data Mesh
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Data Management at Scale. 2nd Edition
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Streaming Data Mesh
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Embedded Analytics
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Cost-Effective Data Pipelines
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Fundamentals of Data Observability
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Enterprise Data Workflows with Cascading. Streamlined Enterprise Data Management and Analysis
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Enterprise SOA. Designing IT for Business Innovation
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100 sposobów na Excel 2007 PL. Tworzenie funkcjonalnych arkuszy
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha
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Excel 2010 PL. Kurs
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Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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Wnioskowanie przyczynowe w Pythonie. Praktyczne wykorzystanie w branży technologicznej