Saif Ahmed, Quan Hua, Shams Ul Azeem - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Uczenie maszynowe w języku R. Tworzenie i doskonalenie modeli - od przygotowania danych po dostrajanie, ewaluację i pracę z big data. Wydanie IV
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Augmented Analytics
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Eksploracja danych za pomocą Excela. Metody uczenia maszynowego krok po kroku
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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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Automating Data Quality Monitoring
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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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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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Learning Data Science
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AI & Data Literacy. Empowering Citizens of Data Science
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Zaufanie do systemów sztucznej inteligencji
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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Jak sztuczna inteligencja zmieni twoje życie
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Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
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The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
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DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
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Uczenie maszynowe. Elementy matematyki w analizie danych
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Tomographic imaging in environmental, industrial and medical applications
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Dodaj mocy Power BI! Jak za pomocą kodu w Pythonie i R pobierać, przekształcać i wizualizować dane
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Data Quality Engineering in Financial Services
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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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Dziennikarstwo danych i data storytelling
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Cyfrowe Państwo. Uwarunkowania i perspektywy
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Głębokie uczenie. Wprowadzenie
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Deep learning z TensorFlow 2 i Keras dla zaawansowanych. Sieci GAN i VAE, deep RL, uczenie nienadzorowane, wykrywanie i segmentacja obiektów i nie tylko. Wydanie II
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AI-Powered Business Intelligence
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The Kaggle Book. Data analysis and machine learning for competitive data science
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Google Analytics w biznesie. Poradnik dla zaawansowanych. Wydanie II
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Data Mesh
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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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Google Analytics dla marketingowców. Wydanie III
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Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
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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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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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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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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
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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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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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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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Wykorzystanie sztucznych sieci neuronowych
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Język R i analiza danych w praktyce. Wydanie II
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Kubeflow Operations Guide
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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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Python dla DevOps. Naucz się bezlitośnie skutecznej automatyzacji
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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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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Hands-On Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
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Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
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Tłumaczenie wspomagane komputerowo
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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie
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Praktyczne uczenie maszynowe
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arc42 by Example. Software architecture documentation in practice
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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Mastering Machine Learning on AWS. Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
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Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization
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Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala
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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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Machine Learning with R. Expert techniques for predictive modeling - Third Edition
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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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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
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Wprowadzenie do systemów baz danych. Wydanie VII
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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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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 Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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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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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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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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Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
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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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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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Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
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Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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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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PostgreSQL 10 High Performance. Expert techniques for query optimization, high availability, and efficient database maintenance - Third Edition
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Hands-On GUI Programming with C++ and Qt5. Build stunning cross-platform applications and widgets with the most powerful GUI framework
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Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
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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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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
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TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
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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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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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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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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis in Rust
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Analiza statystyczna z IBM SPSS Statistics
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Technologie informatyczne a prawo. Prolegomena
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Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition