Itzik Ben-Gan, Adam Machanic, Dejan Sarka, Kevin Farlee - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
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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 Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition
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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Effective Machine Learning Teams
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Data Science: The Hard Parts
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Delta Lake: Up and Running
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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Building an Event-Driven Data Mesh
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Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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Spark. Błyskawiczna analiza danych. Wydanie II
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Practicing Trustworthy Machine Learning
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
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Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
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Generative Deep Learning. 2nd Edition
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
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Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
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TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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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
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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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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Big Data. Krótkie Wprowadzenie 30
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
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Deep learning i modelowanie generatywne. Jak nauczyć komputer malowania, pisania, komponowania i grania
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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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The Self-Service Data Roadmap
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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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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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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
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
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TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
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Big data, nauka o danych i AI bez tajemnic. Podejmuj lepsze decyzje i rozwijaj swój biznes!
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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie
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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
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Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications
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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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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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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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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - 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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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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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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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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Deep Learning. Praktyczne wprowadzenie
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
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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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Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Mastering TensorFlow 1.x. Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
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Learning Apache Apex. Real-time streaming applications with Apex
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Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
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MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Raportowanie w System Center Configuration Manager Bez tajemnic
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Deep Learning. A Practitioner's Approach
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
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15 Math Concepts Every Data Scientist Should Know. Understand and learn how to apply the math behind data science algorithms
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Analiza statystyczna z IBM SPSS Statistics
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Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play