Brian Lipp - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise
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Systemy IT w Polsce
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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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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Data Modeling with Microsoft Power BI
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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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Making Futures Work
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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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Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
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Data Governance Handbook. A practical approach to building trust in data
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Microsoft Azure AI Fundamentals AI-900 Exam Guide. Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam
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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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Salesforce B2C Solution Architect's Handbook. Leverage Salesforce to create scalable and cohesive business-to-consumer experiences - Second Edition
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The Ultimate Zoom Cookbook. Over 100 recipes to enhance and engage communication with Zoom
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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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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Wnioskowanie i związki przyczynowe w Pythonie. Nowoczesne uczenie maszynowe z wykorzystaniem bibliotek DoWhy, EconML, PyTorch i nie tylko
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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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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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Software Engineering for Data Scientists
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Linkerd: Up and Running
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Instrukcja obsługi ścieżki klienta, czyli praktyczny przewodnik po Customer Journey Maps
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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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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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Dowód stawki. Proof of stake (PoS), powstanie Ethereum i filozofia łańcucha bloków
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Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights
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Zarys problematyki zarządzania zasobami informatycznymi w przedsiębiorstwie
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Bitcoin w 1 dzień. Wszystko co musisz wiedzieć by zacząć zarabiać na Bitcoinie już dziś!
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Rekrutacja w IT
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Head First Software Architecture
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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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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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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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Lean Analytics
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Understanding DeFi
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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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Różnorodne. O prawdziwym wizerunku kobiet nie tylko w marketingu
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The Engineering Executive's Primer
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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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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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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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TikTok - Twój pierwszy milion. Sekretny poradnik jak zdobyć miliony followersów i zarobić miliony zł
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Certyfikowany inżynier wymagań. Opracowanie na podstawie planu nauczania IREB® CPRE®. Przykładowe pytania egzaminacyjne z odpowiedziami
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Automating Data Quality Monitoring
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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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Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
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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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Doskonalenie zaawansowanego Scruma
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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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UX writing. Moc języka w produktach cyfrowych
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Zwinne zarządzanie projektami dla bystrzaków. Wydanie III
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Learning Airtable
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Praktyczne zarządzanie produktami dla właścicieli produktu. POSTAWY PROFESJONALNEGO WŁAŚCICIELA PRODUKTU PROWADZĄCE DO SUKCESU TWORZONYCH PRODUKTÓW
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Building a Cyber Risk Management Program
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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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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Mastering Apex Programming. A Salesforce developer's guide to learn advanced techniques and programming best practices for building robust and scalable enterprise-grade applications - Second Edition
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Scrum dla bystrzaków. Wydanie III
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CompTIA A+ Practice Tests Core 1 (220-1101) and Core 2 (220-1102). Pass the CompTIA A+ exams on your first attempt with rigorous practice questions
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Mastering Bitcoin. 3rd Edition
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Data Science: The Hard Parts
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Projektowanie sukcesu. Osobiste opowieści o zarządzaniu projektami
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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 doświadczeń klientów. Wydanie II poszerzone
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Delta Lake: Up and Running
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A Practical Guide to Service Management. Insights from industry experts for uncovering, implementing, and improving service management practices
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Architecting Data and Machine Learning Platforms
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Practical Salesforce Architecture
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Microsoft Power BI dla zaawansowanych. Eksperckie techniki tworzenia interaktywnych analiz w świecie biznesu. Wydanie II
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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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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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Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
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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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Learn Quantum Computing with Python and IBM Quantum. Write your own practical quantum programs with Python - Second Edition
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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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Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python
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15 Math Concepts Every Data Scientist Should Know. Understand and learn how to apply the math behind data science algorithms
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Microsoft Power BI Cookbook. Turn data into strategic assets with updated techniques, features, use cases and best practices - Third Edition
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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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Keap Cookbook. Over 75 effective recipes for CRM optimization, marketing automation, and workflow mastery
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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