Mark C. Layton, Steven J. Ostermiller, Dean J. Kynaston - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud
-
Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
-
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
-
Data Modeling with Microsoft Power BI
-
Czytaj Promocja 2za1
Uczenie maszynowe w języku R. Tworzenie i doskonalenie modeli - od przygotowania danych po dostrajanie, ewaluację i pracę z big data. Wydanie IV
-
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
-
Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
-
Salesforce B2C Solution Architect's Handbook. Leverage Salesforce to create scalable and cohesive business-to-consumer experiences - Second Edition
-
The Ultimate Zoom Cookbook. Over 100 recipes to enhance and engage communication with Zoom
-
The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
-
Czytaj Promocja 2za1
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
-
Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
-
LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
-
Czytaj Promocja 2za1
Zarządzanie danymi w zbiorach o dużej skali. Nowoczesna architektura z siatką danych i technologią Data Fabric. Wydanie II
-
Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
-
Czytaj Promocja 2za1
Dylemat sztucznej inteligencji. 7 zasad odpowiedzialnego tworzenia technologii
-
Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
-
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
-
Czytaj Promocja 2za1
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
-
Czytaj Promocja 2za1
Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu. Wydanie II
-
Software Engineering for Data Scientists
-
The Engineering Leader
-
Czytaj Promocja 2za1
SEO. Poradnik o pozycjonowaniu stron dla początkujących. Edycja 2024
-
Unleashing the Power of Data with Trusted AI. A guide for board members and executives
-
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
-
Czytaj Promocja 2za1
Dowód stawki. Proof of stake (PoS), powstanie Ethereum i filozofia łańcucha bloków
-
Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights
-
Czytaj Promocja 2za1
Zarys problematyki zarządzania zasobami informatycznymi w przedsiębiorstwie
-
Czytaj Promocja 2za1
Bitcoin w 1 dzień. Wszystko co musisz wiedzieć by zacząć zarabiać na Bitcoinie już dziś!
-
Czytaj Promocja 2za1
Rekrutacja w IT
-
Head First Software Architecture
-
Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning
-
Czytaj Promocja 2za1
Uczenie maszynowe: Scikit-Learn, Keras i TensorFlow. Szczegółowy poradnik
-
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
-
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
-
Lean Analytics
-
Understanding DeFi
-
Czytaj Promocja 2za1
Biblia webwritingu. Jak pisać teksty w czasach, gdy sztuczna inteligencja robi to szybciej i nikt ich nie czyta, bo wszyscy wolą wideo
-
Czytaj Promocja 2za1
Marka osobista w branży IT. Jak ją zbudować i rozwijać
-
Czytaj Promocja 2za1
AI bez tajemnic. Sztuczna Inteligencja od podstaw po zaawansowane techniki
-
Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
-
Czytaj Promocja 2za1
Różnorodne. O prawdziwym wizerunku kobiet nie tylko w marketingu
-
Deciphering Data Architectures
-
Hands-On Entity Resolution
-
Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
-
Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
-
Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
-
Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
-
Czytaj Promocja 2za1
Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
-
MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
-
Czytaj Promocja 2za1
Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
-
Czytaj Promocja 2za1
Jak nadążyć za kryptowalutami. Przewodnik po Bitcoinie i nowej cyfrowej ekonomii
-
Czytaj Promocja 2za1
TikTok - Twój pierwszy milion. Sekretny poradnik jak zdobyć miliony followersów i zarobić miliony zł
-
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 Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
-
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
-
Czytaj Promocja 2za1
UX writing. Moc języka w produktach cyfrowych
-
Czytaj Promocja 2za1
Zwinne zarządzanie projektami dla bystrzaków. Wydanie III
-
Czytaj Promocja 2za1
MARKETING INTERNETOWY. Jak znaleźć klientów i sprzedawać przez Internet?! Edycja 2024
-
Czytaj Promocja 2za1
Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
-
Learning Airtable
-
Czytaj Promocja 2za1
Praktyczne zarządzanie produktami dla właścicieli produktu. POSTAWY PROFESJONALNEGO WŁAŚCICIELA PRODUKTU PROWADZĄCE DO SUKCESU TWORZONYCH PRODUKTÓW
-
Building a Cyber Risk Management Program
-
Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
-
Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
-
Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
-
Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
-
TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
-
Czytaj Promocja 2za1
Scrum dla bystrzaków. Wydanie III
-
Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
-
Managing Data as a Product. A comprehensive guide to designing and building data product-centered socio-technical architectures
-
Polars Cookbook. Over 70 practical recipes to transform, manipulate, and analyze your data using Python Polars
-
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
-
Learn Quantum Computing with Python and IBM Quantum. Write your own practical quantum programs with Python - Second Edition
-
Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition
-
Generative AI Engineering, 1E. Build apps with transformer and diffusion-based large and foundational models
-
Data Analysis with Polars. Get up and running with Polars to perform effective data analysis in Rust
-
MuleSoft Platform Architect's Guide. A practical guide to using Anypoint Platform's capabilities to architect, deliver, and operate APIs
-
Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition
-
Tools and Skills for .NET 8. Get the career you want with good practices and patterns to design, debug, and test your solutions
-
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
-
Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
-
Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
-
Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition