Bhavik Merchant, Christopher Webb - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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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Uczenie maszynowe w języku R. Tworzenie i doskonalenie modeli - od przygotowania danych po dostrajanie, ewaluację i pracę z big data. Wydanie IV
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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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Wnioskowanie i związki przyczynowe w Pythonie. Nowoczesne uczenie maszynowe z wykorzystaniem bibliotek DoWhy, EconML, PyTorch i nie tylko
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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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 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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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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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
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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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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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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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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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Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
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Automating Data Quality Monitoring
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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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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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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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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Machine Learning Interviews
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TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
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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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Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense
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Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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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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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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Learning Data Science
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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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Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
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Fundamentals of Data Observability
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Probabilistic Machine Learning for Finance and Investing
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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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Microsoft Power BI dla bystrzaków
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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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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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Machine Learning for High-Risk Applications
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Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
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Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
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DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
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Modelowanie danych z Power BI dla ekspertów analityki. Jak w pełni wykorzystać możliwości Power BI
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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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Dodaj mocy Power BI! Jak za pomocą kodu w Pythonie i R pobierać, przekształcać i wizualizować dane
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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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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Data Quality Engineering in Financial Services
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Praktyczne uczenie maszynowe w języku R
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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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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Inżynieria danych na platformie AWS. Jak tworzyć kompletne potoki uczenia maszynowego
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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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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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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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Głębokie uczenie przez wzmacnianie. Praca z chatbotami oraz robotyka, optymalizacja dyskretna i automatyzacja sieciowa w praktyce. Wydanie II
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Designing Autonomous AI
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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AI-Powered Business Intelligence
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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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Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
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Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
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Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
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Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
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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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Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
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Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition
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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 with Rust
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Essential Guide to LLMOps. Implementing effective LLMOps strategies and tools from data to deployment
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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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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