Russell Brunson, Dan Kennedy - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Systemy IT w Polsce
-
Data driven marketing. O logicznym podejściu do podejmowania decyzji
-
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
-
Leading Effective Engineering Teams
-
Uczenie maszynowe w języku R. Tworzenie i doskonalenie modeli - od przygotowania danych po dostrajanie, ewaluację i pracę z big data. Wydanie IV
-
Augmented Analytics
-
HashiCorp Terraform Associate (003) Exam Guide. Prepare to pass the Terraform Associate exam on your first attempt
-
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
-
Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
-
Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
-
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
-
Linkerd: Up and Running
-
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
-
Giełda. Poznaj podstawy i zacznij inwestować w papiery wartościowe
-
Mistrzowskie domykanie transakcji. Klucz do zarabiania pieniędzy w sferze profesjonalnej sprzedaży
-
Head First Software Architecture
-
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
-
Effective Machine Learning Teams
-
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
-
Understanding DeFi
-
Różnorodne. O prawdziwym wizerunku kobiet nie tylko w marketingu
-
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
-
Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
-
Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II
-
Automating Data Quality Monitoring
-
Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
-
Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
-
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
-
Praktyczne zarządzanie produktami dla właścicieli produktu. POSTAWY PROFESJONALNEGO WŁAŚCICIELA PRODUKTU PROWADZĄCE DO SUKCESU TWORZONYCH PRODUKTÓW
-
Building a Cyber Risk Management Program
-
Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
-
Machine Learning Interviews
-
TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
-
Scrum dla bystrzaków. Wydanie III
-
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
-
Training Data for Machine Learning
-
Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
-
Mastering Bitcoin. 3rd Edition
-
Data Science: The Hard Parts
-
Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
-
Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition
-
Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense
-
Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
-
Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
-
Tworzenie doświadczeń klientów. Wydanie II poszerzone
-
Delta Lake: Up and Running
-
A Practical Guide to Service Management. Insights from industry experts for uncovering, implementing, and improving service management practices
-
Architecting Data and Machine Learning Platforms
-
Amazon Redshift: The Definitive Guide
-
Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
-
Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems
-
Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
-
CompTIA A+ Practice Test Core 1 (220-1101). Over 500 practice questions to help you pass the CompTIA A+ Core 1 exam on your first attempt
-
Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
-
Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
-
Learning Data Science
-
Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition
-
Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
-
Fundamentals of Data Observability
-
Probabilistic Machine Learning for Finance and Investing
-
Decyzyjni. Jak zwykli ludzie kreują niezwykłe produkty
-
Podręcznik architekta rozwiązań. Poznaj reguły oraz strategie projektu architektury i rozpocznij niezwykłą karierę. Wydanie II
-
Wprowadzenie do Salesforce. Jak zoptymalizować sprzedaż i marketing. Wydanie II
-
Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
-
Data Wrangling on AWS. Clean and organize complex data for analysis
-
Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
-
Microsoft Power BI dla bystrzaków
-
Graph-Powered Analytics and Machine Learning with TigerGraph
-
Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
-
Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
-
Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
-
Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
-
Strategiczne podejście do działania w social mediach
-
Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
-
Unifying Business, Data, and Code
-
Inżynieria oprogramowania według Google. Czego warto się nauczyć o tworzeniu oprogramowania
-
Machine Learning for High-Risk Applications
-
Siatka danych. Nowoczesna koncepcja samoobsługowej infrastruktury danych
-
Operating Continuously
-
Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
-
Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
-
Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
-
Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
-
The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
-
Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
-
Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
-
DAX i Power BI w analizie danych. Tworzenie zaawansowanych i efektywnych analiz dla biznesu
-
AWS dla administratorów systemów. Tworzenie i utrzymywanie niezawodnych aplikacji chmurowych
-
Lightning Network dla praktyków. Protokół drugiej warstwy i jego wykorzystanie do obsługi płatności bitcoinami
-
Tajniki skutecznych dotcomów. Jak rozwijać firmę w internecie
-
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
-
Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
-
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 with Rust
-
MuleSoft Platform Architect's Guide. A practical guide to using Anypoint Platform's capabilities to architect, deliver, and operate APIs
-
Essential Guide to LLMOps. Implementing effective LLMOps strategies and tools from data to deployment
-
Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition
-
Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud
-
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