Osvaldo Martin - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
-
Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
-
Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
-
Tableau Strategies
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
-
97 Things Every Data Engineer Should Know
-
Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
-
Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
-
Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
-
Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
-
Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
-
Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
-
Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
-
Big Data. Krótkie Wprowadzenie 30
-
Skazany na sukces. Kariera w Data Science
-
Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
-
Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
-
Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
-
Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
-
Data Pipelines Pocket Reference
-
Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
-
Wykorzystanie sztucznych sieci neuronowych
-
Analiza danych w zarządzaniu projektami
-
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
-
The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation
-
Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
-
Microsoft Excel 2010 Analiza i modelowanie danych biznesowych
-
Microsoft Excel 2013 Budowanie modeli danych przy użyciu PowerPivot
-
Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
-
Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
-
Szeregi czasowe. Praktyczna analiza i predykcja z wykorzystaniem statystyki i uczenia maszynowego
-
Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
-
The Self-Service Data Roadmap
-
The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
-
Myślenie systemowe. Wprowadzenie
-
Power BI i Power Pivot dla Excela. Analiza danych
-
Semantic Modeling for Data
-
Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
-
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 Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
-
The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
-
The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
-
The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
-
The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
-
Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
-
Uczenie maszynowe w Pythonie. Leksykon kieszonkowy
-
Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
-
Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
-
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
-
Kompletny przewodnik po DAX, wyd. 2 rozszerzone. Analiza biznesowa przy użyciu Microsoft Power BI, SQL Server Analysis Services i Excel
-
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
-
Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
-
The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
-
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
-
Data science od podstaw. Analiza danych w Pythonie. Wydanie II
-
Podstawy wizualizacji danych. Zasady tworzenia atrakcyjnych wykresów
-
Algorytmy dla bystrzaków
-
The Data Science Workshop. A New, Interactive Approach to Learning Data Science
-
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
-
Analiza marketingowa. Praktyczne techniki z wykorzystaniem analizy danych i narzędzi Excela
-
Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
-
Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes!
-
Microsoft Excel 2019 Analiza i modelowanie danych biznesowych
-
Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
-
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
-
Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
-
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
-
Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java
-
Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
-
SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
-
Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
-
Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
-
Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
-
Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
-
Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
-
Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
-
Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
-
Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
-
Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
-
Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
-
Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
-
Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
-
Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
-
Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
-
R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
-
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
-
Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
-
Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
-
Data Wrangling with Python. Creating actionable data from raw sources
-
Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
-
Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
-
SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
-
Wprowadzenie do systemów baz danych. Wydanie VII
-
Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
-
Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
-
Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
-
Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
-
Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
-
Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
-
Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
-
Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
-
Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
-
NoSQL, NewSQL i BigData. Bazy danych następnej generacji
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
Storytelling danych. Poradnik wizualizacji danych dla profesjonalistów
-
Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
-
Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
-
Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
-
QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
-
Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
-
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