Alberto Paro - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
-
Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
-
Predictive Analytics for the Modern Enterprise
-
Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
-
Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
-
Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
-
Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
-
Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
-
Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
-
Learning Data Science
-
AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
-
Data Wrangling on AWS. Clean and organize complex data for analysis
-
Data Curious
-
Embedded Analytics
-
The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
-
Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
-
Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
-
SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
-
Cyfrowe Państwo. Uwarunkowania i perspektywy
-
Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
-
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
-
The Tableau Workshop. A practical guide to the art of data visualization with Tableau
-
Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
-
Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
-
The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
-
Communicating with Data
-
Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
-
Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
-
Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
-
Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
-
Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
-
Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
-
Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
-
Analiza danych w zarządzaniu projektami
-
Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization
-
Microsoft Excel 2013 Budowanie modeli danych przy użyciu PowerPivot
-
Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
-
Power BI i Power Pivot dla Excela. Analiza danych
-
Semantic Modeling for Data
-
Tableau Prep: Up & Running
-
The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
-
The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
-
The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
-
The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
-
Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
-
Kompletny przewodnik po DAX, wyd. 2 rozszerzone. Analiza biznesowa przy użyciu Microsoft Power BI, SQL Server Analysis Services i Excel
-
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 Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
-
Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
-
Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
-
Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
-
arc42 by Example. Software architecture documentation in practice
-
SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
-
Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
-
Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
-
Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
-
Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
-
Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
-
Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
-
Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
-
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
-
Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
-
Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
-
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
-
Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
-
Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
-
Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
-
Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
-
Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
-
Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
-
Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
-
Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
-
Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
-
TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
-
Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
-
Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
-
R Deep Learning Projects. Master the techniques to design and develop neural network models in R
-
MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
-
IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
-
Learning Apache Apex. Real-time streaming applications with Apex
-
Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
-
Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
-
Modern R Programming Cookbook. Recipes to simplify your statistical applications
-
Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
-
R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
-
Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
-
Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
-
Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
-
Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
-
Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
-
Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
-
Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
-
Java: Data Science Made Easy. Data collection, processing, analysis, and more
-
Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
-
Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
-
Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
-
Python. Podstawy nauki o danych. Wydanie II
-
Mastering Java for Data Science. Analytics and more for production-ready applications
-
Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
-
Effective Amazon Machine Learning. Expert web services for machine learning on cloud
-
Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
-
Mastering Spark for Data Science. Lightning fast and scalable data science solutions
-
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
-
QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
-
Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
-
Data Analysis with Polars. Get up and running with Polars to perform effective data analysis in Rust
-
Analiza statystyczna z IBM SPSS Statistics
-
Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
-
Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition
-
Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python
-
Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding