Ґері В. Левандовскi - ebooki
Tytuły autora: Ґері В. Левандовскi dostępne w księgarni Ebookpoint
-
Marketing afiliacyjny dla bystrzaków
-
Computer Vision on AWS. Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
-
Sklep online w 30 dni. Zaplanuj, uruchom i zacznij zarabiać
-
Wizualizacja danych. Pulpity nawigacyjne i raporty w Excelu
-
Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
-
Wordpress Woocommerce. Stwórz zyskowny sklep internetowy
-
Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
-
Scaling Machine Learning with Spark
-
Jak projektować systemy uczenia maszynowego. Iteracyjne tworzenie aplikacji gotowych do pracy
-
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
-
Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
-
The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
-
Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
-
Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
-
DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
-
Spark. Błyskawiczna analiza danych. Wydanie II
-
Lightning Network dla praktyków. Protokół drugiej warstwy i jego wykorzystanie do obsługi płatności bitcoinami
-
Uczenie maszynowe. Elementy matematyki w analizie danych
-
Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
-
Stwórz teraz wspaniałą firmę! Siedem etapów na drodze do wysokich zysków
-
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
-
Sztuczna inteligencja. Nowe spojrzenie. Wydanie IV. Tom 1
-
Sztuczna inteligencja. Nowe spojrzenie. Wydanie IV. Tom 2
-
Atlassian Jira Server & Data Center. Programowanie rozwiązań w projektach biznesowych
-
Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
-
Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
-
Technical Program Manager's Handbook. Empowering managers to efficiently manage technical projects and build a successful career path
-
Overcoming IT Complexity
-
Dodaj mocy Power BI! Jak za pomocą kodu w Pythonie i R pobierać, przekształcać i wizualizować dane
-
The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
-
Salesforce Anti-Patterns. Create powerful Salesforce architectures by learning from common mistakes made on the platform
-
Microsoft Project 2019 dla bystrzaków
-
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
-
ColorWise
-
Applied Machine Learning and AI for Engineers
-
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
-
Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
-
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
-
Etat czy B2B dla IT - Programista
-
Data Quality Engineering in Financial Services
-
Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
-
IT-sektor marzeń? Znajdź swoje miejsce w świecie IT
-
Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
-
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. 3rd Edition
-
Praktyczne uczenie maszynowe w języku R
-
Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
-
Matematyka w uczeniu maszynowym
-
The Staff Engineer's Path
-
Skuteczny marketing na TikToku. Jak zdobyć miliony wyświetleń i tysiące obserwatorów w miesiąc (albo szybciej)
-
Data Quality Fundamentals
-
Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
-
SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
-
Cyfrowe Państwo. Uwarunkowania i perspektywy
-
Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
-
Blender 3D Incredible Models. A comprehensive guide to hard-surface modeling, procedural texturing, and rendering
-
Kryptowaluty. Dlaczego jeden bitcoin wart będzie milion dolarów? Edycja 2.0
-
Inżynieria danych na platformie AWS. Jak tworzyć kompletne potoki uczenia maszynowego
-
Python i AI dla e-commerce
-
Głębokie uczenie. Wprowadzenie
-
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
-
Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
-
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
-
Głębokie uczenie przez wzmacnianie. Praca z chatbotami oraz robotyka, optymalizacja dyskretna i automatyzacja sieciowa w praktyce. Wydanie II
-
Tidy Modeling with R
-
Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
-
Webwriting. Profesjonalne tworzenie tekstów dla Internetu. Wydanie 3
-
Polski e-konsument. Dekada zmian
-
UiPath Associate Certification Guide. The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes
-
Sztuczna inteligencja w finansach. Używaj języka Python do projektowania i wdrażania algorytmów AI
-
Generative Deep Learning. 2nd Edition
-
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
-
In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
-
Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
-
Fundamentals of Data Engineering
-
The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
-
Excel 2021 i Microsoft 365. Analiza i modelowanie danych biznesowych
-
Excel 2021 i Microsoft 365. Przetwarzanie danych za pomocą tabel przestawnych
-
AI-Powered Business Intelligence
-
Practical Simulations for Machine Learning
-
Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
-
Natural Language Processing with Transformers, Revised Edition
-
Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
-
Git i GitHub. Kontrola wersji, zarządzanie projektami i zasady pracy zespołowej
-
Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
-
Designing Machine Learning Systems
-
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
-
Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
-
The Tableau Workshop. A practical guide to the art of data visualization with Tableau
-
Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
-
Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
-
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
-
Finanse cyfrowe. Perspektywa rynkowa
-
Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
-
Data Algorithms with Spark
-
Mindf*ck szefa. Żeby w końcu wyszło tak, jak wyjść nie chce
-
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
-
Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
-
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
-
Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
-
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
-
Geospatial Analysis with SQL. A hands-on guide to performing geospatial analysis by unlocking the syntax of spatial SQL