Michal Malohlava, Alex Tellez, Max Pumperla - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
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Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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Hands-On Entity Resolution
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Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Amazon Redshift: The Definitive Guide
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
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Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
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DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Praktyczne uczenie maszynowe w języku R
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Głębokie uczenie. Wprowadzenie
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
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Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
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Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
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Practical Weak Supervision
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
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Wzorce projektowe uczenia maszynowego. Rozwiązania typowych problemów dotyczących przygotowania danych, konstruowania modeli i MLOps
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Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
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Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
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Skazany na sukces. Kariera w Data Science
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Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
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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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Kubeflow Operations Guide
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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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Machine Learning Design Patterns
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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 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 Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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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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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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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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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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arc42 by Example. Software architecture documentation in practice
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Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
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Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - 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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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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Python. Uczenie maszynowe. Wydanie II
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Building Computer Vision Projects with OpenCV 4 and C++. Implement complex computer vision algorithms and explore deep learning and face detection
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
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Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
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Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem
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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
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Hands-On Computer Vision with Julia. Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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Emotional Intelligence for IT Professionals. The must-have guide for a successful career in IT
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Apache Spark 2.x Machine Learning Cookbook. Over 100 recipes to simplify machine learning model implementations with Spark
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
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Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition
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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding