Andreas M. Antonopoulos, Olaoluwa Osuntokun, René Pickhardt - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
-
Fundamentals of Data Observability
-
Probabilistic Machine Learning for Finance and Investing
-
Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
-
Graph-Powered Analytics and Machine Learning with TigerGraph
-
Cost-Effective Data Pipelines
-
Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
-
Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
-
Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
-
Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
-
Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
-
Nowoczesna inżynieria oprogramowania. Stosowanie skutecznych technik szybszego rozwoju oprogramowania wyższej jakości
-
Strategiczne podejście do działania w social mediach
-
Internet możliwości. O tym, jak wypromować firmę i zarabiać więcej, pracując mniej
-
Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy
-
Embedded Analytics
-
Streaming Data Mesh
-
Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data
-
Machine Learning for High-Risk Applications
-
Pierwsze kroki w Power BI. Kompletny przewodnik po praktycznej analityce biznesowej. Wydanie II
-
Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
-
Operating Continuously
-
DevOps. Światowej klasy zwinność, niezawodność i bezpieczeństwo w Twojej organizacji. Wydanie II
-
Building an Event-Driven Data Mesh
-
Marketing afiliacyjny dla bystrzaków
-
Wizualizacja danych. Pulpity nawigacyjne i raporty w Excelu
-
Poznaj Microsoft Power BI. Przekształcanie danych we wnioski
-
Wordpress Woocommerce. Stwórz zyskowny sklep internetowy
-
Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
-
Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
-
Scaling Machine Learning with Spark
-
Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
-
Red Hat Certified Specialist in Services Management and Automation EX358 Exam Guide. Get your certification and prepare for real-world challenges as a Red Hat Certified Specialist
-
The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
-
Spark. Błyskawiczna analiza danych. Wydanie II
-
Lightning Network dla praktyków. Protokół drugiej warstwy i jego wykorzystanie do obsługi płatności bitcoinami
-
Tajniki skutecznych dotcomów. Jak rozwijać firmę w internecie
-
Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
-
Microsoft Project 2021 Krok po kroku
-
Employer branding. Praktyczny podręcznik
-
Modelowanie danych z Power BI dla ekspertów analityki. Jak w pełni wykorzystać możliwości Power BI
-
Practicing Trustworthy Machine Learning
-
Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
-
CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
-
KPI, czyli kluczowe wskaźniki efektywności. 75 mierników ważnych dla każdego menedżera
-
Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
-
The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
-
Microsoft Project 2019 dla bystrzaków
-
Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation
-
Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
-
Brakujący plik README. Przewodnik dla początkujących inżynierów oprogramowania
-
Blockchain. Przewodnik po technologii łańcucha bloków. Kryptowaluty, inteligentne kontrakty i aplikacje rozproszone
-
Learning Google Analytics
-
Optymalizacja w sterowaniu i podejmowaniu decyzji
-
Certified Kubernetes Administrator (CKA) Exam Guide. Validate your knowledge of Kubernetes and implement it in a real-life production environment
-
Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
-
Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
-
Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks
-
IT-sektor marzeń? Znajdź swoje miejsce w świecie IT
-
Praktyczne uczenie maszynowe w języku R
-
Learning Microsoft Power BI
-
Matematyka w uczeniu maszynowym
-
SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
-
Hands-On Healthcare Data
-
Python i AI dla e-commerce
-
SUKCES W INTERNECIE Poradnik na start dla początkujących. Edycja 2022, Część 1, Marketing Internetowy
-
Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
-
Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
-
Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
-
Simplifying Android Development with Coroutines and Flows. Learn how to use Kotlin coroutines and the flow API to handle data streams asynchronously in your Android app
-
Mistrzowski samouk. Jak łatwo i skutecznie doskonalić się w dowolnej dziedzinie
-
Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
-
Polski e-konsument. Dekada zmian
-
Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
-
UiPath Associate Certification Guide. The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes
-
Generative Deep Learning. 2nd Edition
-
Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
-
Designing Autonomous AI
-
Practical Simulations for Machine Learning
-
Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
-
Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
-
Natural Language Processing with Transformers, Revised Edition
-
Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
-
Fundamentals of Deep Learning. 2nd Edition
-
Zwinni. Zbrodnia i Scrum
-
Design Thinking. Jak wykorzystać myślenie projektowe do zwiększenia zysków Twojej firmy
-
Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
-
Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
-
Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
-
Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
-
The Kaggle Book. Data analysis and machine learning for competitive data science
-
SEO marketing. Bądź widoczny w internecie
-
Accelerating Nonprofit Impact with Salesforce. Implement Nonprofit Cloud for efficient and cost-effective operations to drive your nonprofit mission
-
Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
-
Salesforce CPQ Implementation Handbook. Configure Salesforce CPQ products to close more deals and generate higher revenue for your business
-
Data Algorithms with Spark
-
TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
-
Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
-
Skuteczne zarządzanie zespołem. Jak uzyskać harmonię, zaufanie i widoczne efekty pracy w zespole
-
Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
-
Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
-
Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
-
Tworzenie najlepszych ofert. Produkty i usługi, na których zależy klientom
-
Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
-
Enhancing Productivity with Notion. Save time on projects by supercharging your productivity with Notion's powerful features and templates
-
Data Mesh
-
Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
-
Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
-
TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach
-
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
-
Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
-
Microsoft Azure Fundamentals Certification and Beyond. Simplified cloud concepts and core Azure fundamentals for absolute beginners to pass the AZ-900 exam
-
Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
-
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
-
Machine Learning for Financial Risk Management with Python
-
Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
-
IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
-
30 Dni do Zmian. Dokonaj życiowej metamorfozy w kilka tygodni. Wydanie II
-
Mastering the Lightning Network