Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation
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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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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Praktyczne uczenie maszynowe w języku R
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Learning Microsoft Power BI
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Matematyka w uczeniu maszynowym
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Hands-On Healthcare Data
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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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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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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
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
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Generative Deep Learning. 2nd Edition
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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Designing Autonomous AI
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Practical Simulations for Machine Learning
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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Natural Language Processing with Transformers, Revised Edition
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
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Fundamentals of Deep Learning. 2nd Edition
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
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Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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The Kaggle Book. Data analysis and machine learning for competitive data science
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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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Data Algorithms with Spark
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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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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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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
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
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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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Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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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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Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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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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Machine Learning for Financial Risk Management with Python
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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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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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Uczenie głębokie i sztuczna inteligencja. Interaktywny przewodnik ilustrowany
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Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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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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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Reliable Machine Learning
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Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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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 Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
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Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Practical Machine Learning for Computer Vision
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Sztuczna inteligencja. Błyskawiczne wprowadzenie do uczenia maszynowego, uczenia ze wzmocnieniem i uczenia głębokiego
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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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Deep learning dla programistów. Budowanie aplikacji AI za pomocą fastai i PyTorch
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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
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Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
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Dane grafowe w praktyce. Jak technologie grafowe ułatwiają rozwiązywanie złożonych problemów
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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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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Machine learning, Python i data science. Wprowadzenie
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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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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Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
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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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Hands-On Data Visualization
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Przetwarzanie języka naturalnego w akcji
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Data Pipelines Pocket Reference
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Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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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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Wykorzystanie sztucznych sieci neuronowych
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Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
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Analiza danych w zarządzaniu projektami
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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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Opowieści ukryte w danych. Wyjaśnij dane i wywołaj działania za pomocą narracji
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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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Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
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Kubeflow for Machine Learning
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Machine Learning and Data Science Blueprints for Finance
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Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python
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Uczenie maszynowe na Raspberry Pi
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Wprowadzenie do uczenia maszynowego według Esposito
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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The Self-Service Data Roadmap
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Myślenie systemowe. Wprowadzenie
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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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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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Analiza statystyczna z IBM SPSS Statistics