Big data
Książki, ebooki, audiobooki, kursy video z kategorii: Big data dostępne w księgarni Ebookpoint
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Praktyczne uczenie maszynowe
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Python w uczeniu maszynowym
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Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
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Web scraping. Kurs video. Zautomatyzowane pozyskiwanie danych z sieci
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Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie
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Google Analytics. Integracja i analiza danych
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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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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
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Effective Machine Learning Teams
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The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices
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Implementing MLOps in the Enterprise
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Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
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Probabilistic Machine Learning for Finance and Investing
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Building an Event-Driven Data Mesh
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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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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
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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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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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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
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The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition
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The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
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Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
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Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
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Solidity Programming Essentials. A beginner's guide to build smart contracts for Ethereum and blockchain
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Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
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Data Science i uczenie maszynowe
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Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
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Scaling MongoDB. Sharding, Cluster Setup, and Administration
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha
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Access. Analiza danych. Receptury
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Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
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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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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Natural Language Processing with Transformers, Revised Edition
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Data Algorithms with Spark
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
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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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The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation
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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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Wprowadzenie do uczenia maszynowego według Esposito
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Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
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Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
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Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
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Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
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Analiza danych w naukach ścisłych i technice
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Web Mapping Illustrated. Using Open Source GIS Toolkits
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Spark. Rozproszone uczenie maszynowe na dużą skalę. Jak korzystać z MLlib, TensorFlow i PyTorch
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Analiza danych w zarządzaniu projektami
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Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych
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Badanie danych. Raport z pierwszej linii działań
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Excel 2013 PL. Kurs
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Excel 2010 PL. Ilustrowany przewodnik
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Excel 2010 PL. Kurs
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Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition
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Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise
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Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
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Deep Learning at Scale
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Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking
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Algorithms and Data Structures with Python. A comprehensive guide to data structures & algorithms via an interactive learning experience
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Data Analysis Foundations with Python. Master Data Analysis with Python: From Basics to Advanced Techniques
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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
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De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning
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Data Modeling with Microsoft Power BI
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Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Augmented Analytics
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
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Active Machine Learning with Python. Refine and elevate data quality over quantity with active learning
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Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition
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Artificial Intelligence with Microsoft Power BI
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Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights
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Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
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Hands-On Entity Resolution
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system
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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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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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MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
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Automating Data Quality Monitoring
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Deep Learning for Finance
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Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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Machine Learning Interviews
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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
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Training Data for Machine Learning