Chris Lukassen, Robbin Schuurman - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Prompt Engineering - zostań Panem Sztucznej Inteligencji
-
Uczenie maszynowe w Pythonie. Deep learning i machine learning
-
Continuous Deployment
-
Practical Lakehouse Architecture
-
Unleashing the Power of Data with Trusted AI. A guide for board members and executives
-
Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
-
Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
-
Sztuczna inteligencja w organizacji. Innowacje biznesowe w praktyce
-
Deep Learning at Scale
-
Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking
-
Algorithms and Data Structures with Python. A comprehensive guide to data structures & algorithms via an interactive learning experience
-
Data Analysis Foundations with Python. Master Data Analysis with Python: From Basics to Advanced Techniques
-
Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
-
De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning
-
Leading Effective Engineering Teams
-
Data Modeling with Microsoft Power BI
-
Making Futures Work
-
Augmented Analytics
-
Data Governance Handbook. A practical approach to building trust in data
-
HashiCorp Terraform Associate (003) Exam Guide. Prepare to pass the Terraform Associate exam on your first attempt
-
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
-
Salesforce B2C Solution Architect's Handbook. Leverage Salesforce to create scalable and cohesive business-to-consumer experiences - Second Edition
-
The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
-
Wnioskowanie i związki przyczynowe w Pythonie. Nowoczesne uczenie maszynowe z wykorzystaniem bibliotek DoWhy, EconML, PyTorch i nie tylko
-
Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence
-
Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
-
Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
-
Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
-
Zarządzanie danymi w zbiorach o dużej skali. Nowoczesna architektura z siatką danych i technologią Data Fabric. Wydanie II
-
Predictive Analytics for the Modern Enterprise
-
Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
-
Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
-
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
-
Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
-
Architektura oprogramowania i podejmowanie decyzji: Wykorzystywanie przywództwa, technologii i zarządzania produktem do budowy świetnych produktów
-
Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
-
Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu. Wydanie II
-
AWS Certified Security - Specialty (SCS-C02) Exam Guide. Get all the guidance you need to pass the AWS (SCS-C02) exam on your first attempt - Second Edition
-
Software Engineering for Data Scientists
-
The Engineering Leader
-
Linkerd: Up and Running
-
Active Machine Learning with Python. Refine and elevate data quality over quantity with active learning
-
Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
-
Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
-
Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
-
The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
-
The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
-
Artificial Intelligence with Microsoft Power BI
-
Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition
-
Ty w social mediach. Podręcznik budowania marki osobistej dla każdego. Wydanie III poszerzone
-
Giełda. Poznaj podstawy i zacznij inwestować w papiery wartościowe
-
Zarys problematyki zarządzania zasobami informatycznymi w przedsiębiorstwie
-
Bitcoin w 1 dzień. Wszystko co musisz wiedzieć by zacząć zarabiać na Bitcoinie już dziś!
-
10 zasad dowożenia projektów nierealnych. Jak odnosić sukcesy w trudnych i złożonych projektach informatycznych
-
Rekrutacja w IT
-
Head First Software Architecture
-
Uczenie maszynowe: Scikit-Learn, Keras i TensorFlow. Szczegółowy poradnik
-
Twoja firma w social mediach. Podręcznik marketingu internetowego dla małych i średnich przedsiębiorstw. Wydanie IV poszerzone
-
AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
-
Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
-
Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
-
Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
-
Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
-
Effective Machine Learning Teams
-
Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
-
Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
-
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
-
Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
-
Wideotwórca. Jak tworzyć filmy w social mediach
-
Lean Analytics
-
Understanding DeFi
-
Biblia webwritingu. Jak pisać teksty w czasach, gdy sztuczna inteligencja robi to szybciej i nikt ich nie czyta, bo wszyscy wolą wideo
-
Marka osobista w branży IT. Jak ją zbudować i rozwijać
-
AI bez tajemnic. Sztuczna Inteligencja od podstaw po zaawansowane techniki
-
Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
-
Różnorodne. O prawdziwym wizerunku kobiet nie tylko w marketingu
-
Deciphering Data Architectures
-
The Engineering Executive's Primer
-
Hands-On Entity Resolution
-
Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
-
Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
-
Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system
-
Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
-
MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
-
Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
-
Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
-
MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
-
Growth Hacking: Jak pomaga pozyskiwać nowych klientów i utrzymywać obecnych
-
Jak nadążyć za kryptowalutami. Przewodnik po Bitcoinie i nowej cyfrowej ekonomii
-
Automating Data Quality Monitoring
-
Deep Learning for Finance
-
Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
-
Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
-
Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
-
The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices
-
Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
-
Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
-
Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
-
Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications
-
UX writing. Moc języka w produktach cyfrowych
-
Zwinne zarządzanie projektami dla bystrzaków. Wydanie III
-
Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
-
Learning Airtable
-
Praktyczne zarządzanie produktami dla właścicieli produktu. POSTAWY PROFESJONALNEGO WŁAŚCICIELA PRODUKTU PROWADZĄCE DO SUKCESU TWORZONYCH PRODUKTÓW
-
Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
-
Pandas Cookbook. Practical recipes for scientific computing, time series and exploratory data analysis using Python - Third Edition
-
Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
-
Causal Inference in R. Decipher complex relationships with advanced R techniques for data-driven decision making
-
Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition
-
Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition
-
Data Analysis with Polars. Get up and running with Polars to perform effective data analysis with Rust
-
Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python
-
MuleSoft Platform Architect's Guide. A practical guide to using Anypoint Platform's capabilities to architect, deliver, and operate APIs
-
Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise
-
Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
-
Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition
-
Model Risk Management in Practice. A hands-on guide helping you with the design, implementation, monitoring, and reporting of Model Risk
-
Keap Cookbook. Over 75 effective recipes for CRM optimization, marketing automation, and workflow mastery
-
Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition
-
Responsible AI Made Easy with TensorFlow. The Ultimate Roadmap to Ethical AI: A Practical Guide to AI Fairness, Accountability, and Transparency