Big data
Książki, ebooki, audiobooki, kursy video z kategorii: Big data dostępne w księgarni Ebookpoint
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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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Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
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Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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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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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
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Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
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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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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
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Communicating with Data
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Practical Weak Supervision
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Up and Running with Affinity Designer. A practical, easy-to-follow guide to get up to speed with the powerful features of Affinity Designer 1.10
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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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 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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Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
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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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Empowering Organizations with Power Virtual Agents. A practical guide to building intelligent chatbots with Microsoft Power Platform
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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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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Tableau Strategies
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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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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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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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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97 Things Every Data Engineer Should Know
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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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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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Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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PyTorch Pocket Reference
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language
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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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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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Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale
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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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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
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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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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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Hands-On Data Visualization
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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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Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
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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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Wykorzystanie sztucznych sieci neuronowych
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Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
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Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Kubeflow Operations Guide
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Practical Fairness
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Introducing MLOps
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Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
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Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python
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Microsoft Excel 2010 Analiza i modelowanie danych biznesowych
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Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
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Tableau Desktop Cookbook
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Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
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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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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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Artificial Intelligence in Finance
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Kubeflow for Machine Learning
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AI and Machine Learning for Coders
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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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Semantic Modeling for Data
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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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Tableau Prep: Up & Running
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The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
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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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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
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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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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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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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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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Innovative Tableau. 100 More Tips, Tutorials, and Strategies
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Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
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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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Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
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Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
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Jak myślą inteligentne maszyny
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The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
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Automatyczna analiza składnikowa języka polskiego
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Tłumaczenie wspomagane komputerowo
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science
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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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Building Machine Learning Powered Applications. Going from Idea to Product
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CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition