Ґері В. Левандовскi - ebooki
Tytuły autora: Ґері В. Левандовскi dostępne w księgarni Ebookpoint
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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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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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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 Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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Augmented Analytics
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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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Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence
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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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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
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Zarządzanie danymi w zbiorach o dużej skali. Nowoczesna architektura z siatką danych i technologią Data Fabric. Wydanie II
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Predictive Analytics for the Modern Enterprise
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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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Dylemat sztucznej inteligencji. 7 zasad odpowiedzialnego tworzenia technologii
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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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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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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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Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu. Wydanie II
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The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
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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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Uczenie maszynowe: Scikit-Learn, Keras i TensorFlow. Szczegółowy poradnik
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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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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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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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Effective Machine Learning Teams
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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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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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AI bez tajemnic. Sztuczna Inteligencja od podstaw po zaawansowane techniki
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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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Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
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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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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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Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
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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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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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Automating Data Quality Monitoring
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Deep Learning for Finance
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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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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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Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
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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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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Implementing MLOps in the Enterprise
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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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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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
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Power BI i sztuczna inteligencja. Jak w pełni wykorzystać funkcje AI dostępne w Power BI
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Training Data for Machine Learning
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Data Science: The Hard Parts
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition
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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Tworzenie rozwiązań za pomocą Microsoft Power Platform. Rozwiązywanie codziennych problemów w przedsiębiorstwie
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Delta Lake: Up and Running
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Architecting Data and Machine Learning Platforms
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Amazon Redshift: The Definitive Guide
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems
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Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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Streamlit for Data Science. Create interactive data apps in Python - Second Edition
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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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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
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AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
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Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
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Podręcznik architekta rozwiązań. Poznaj reguły oraz strategie projektu architektury i rozpocznij niezwykłą karierę. Wydanie II
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Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
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Data Wrangling on AWS. Clean and organize complex data for analysis
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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AI & Data Literacy. Empowering Citizens of Data Science
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Data Curious
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Marketing i analityka biznesowa dla początkujących. Poznaj najważniejsze narzędzia i wykorzystaj ich możliwości
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Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
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Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars
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Pandas Cookbook. Practical recipes for scientific computing, time series and exploratory data analysis using Python - Third Edition
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Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
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Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis in Rust
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Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud
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Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition
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Responsible AI Made Easy with TensorFlow. The Ultimate Roadmap to Ethical AI: A Practical Guide to AI Fairness, Accountability, and Transparency
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Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition
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Model Risk Management in Practice. A hands-on guide helping you with the design, implementation, monitoring, and reporting of Model Risk