Bogumił Kamiński, Przemysław Szufel - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
-
97 Things Every Scrum Practitioner Should Know. Collective Wisdom from the Experts
-
Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
-
Niech Cię widzą w sieci! Blog lub serwis branżowy od podstaw
-
Socjotechnika. Sztuka zdobywania władzy nad umysłami. Wydanie II
-
Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
-
Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
-
Świat nowych technologii. Czy sztuczna inteligencja zdominuje życie człowieka?
-
Jak myślą inteligentne maszyny
-
The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
-
Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II
-
Praca, którą widać. Jak walczyć ze złodziejami czasu i optymalizować swoją wydajność
-
Tłumaczenie wspomagane komputerowo
-
The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
-
Power Query w Excelu i Power BI. Zbieranie i przekształcanie danych
-
Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
-
Data science od podstaw. Analiza danych w Pythonie. Wydanie II
-
Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
-
Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
-
Zrozumieć Bitcoin. Programowanie kryptowalut od podstaw
-
Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
-
Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
-
Lean UX dla zespołów Agile. Projektowane doskonałych wrażeń użytkownika. Wydanie II
-
TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
-
Przyspieszenie. Lean i DevOps w rozwoju firm technologicznych
-
Era Agile. O tym, jak sprytne firmy kształtują swoją efektywność
-
Głębokie uczenie z TensorFlow. Od regresji liniowej po uczenie przez wzmacnianie
-
Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
-
Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
-
Praktyczne uczenie maszynowe
-
Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
-
Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
-
Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
-
Poradnik design thinking - czyli jak wykorzystać myślenie projektowe w biznesie
-
Zarządzanie danymi w organizacji
-
Algorytmy Data Science. Siedmiodniowy przewodnik. Wydanie II
-
arc42 by Example. Software architecture documentation in practice
-
Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
-
Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
-
Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java
-
Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
-
Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
-
Początkujący menedżer. Wydanie VII
-
Practical Automated Machine Learning on Azure. Using Azure Machine Learning to Quickly Build AI Solutions
-
Learn Ethereum. Build your own decentralized applications with Ethereum and smart contracts
-
Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
-
To jest marketing!
-
Ethereum dla zaawansowanych. Tworzenie inteligentnych kontraktów i aplikacji zdecentralizowanych
-
Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
-
Deep Learning
-
Zrozumieć Agile Project Management. Równowaga kontroli i elastyczności
-
Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications
-
SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
-
Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
-
Master Apache JMeter - From Load Testing to DevOps. Master performance testing with JMeter
-
Zarządzanie produktem w modelu lean
-
Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras
-
Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
-
Algorytmy uczenia maszynowego. Zaawansowane techniki implementacji
-
Deep Learning. Receptury
-
The Successful Software Manager. The definitive guide to growing from developer to manager
-
The Complete Metasploit Guide. Explore effective penetration testing techniques with Metasploit
-
R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
-
Profesjonalny Właściciel Produktu
-
Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
-
Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
-
Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
-
Salesforce Platform Developer I Certification Guide. Expert tips, techniques, and mock tests for the Platform Developer I (DEV501) certification exam
-
Advanced Machine Learning with R. Tackle data analytics and machine learning challenges and build complex applications with R 3.5
-
Mastering Machine Learning on AWS. Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
-
Collaborative Product Design. Help Any Team Build a Better Experience
-
Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
-
Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization
-
Mastering Ethereum. Implement advanced blockchain applications using Ethereum-supported tools, services, and protocols
-
Salesforce CRM - The Definitive Admin Handbook. Build, configure, and customize Salesforce CRM and mobile solutions - Fifth Edition
-
Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras
-
W tym szaleństwie jest metoda. Powieść o zarządzaniu projektami
-
Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
-
Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition
-
Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
-
Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
-
Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition
-
Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
-
R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
-
Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
-
Building Computer Vision Projects with OpenCV 4 and C++. Implement complex computer vision algorithms and explore deep learning and face detection
-
Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
-
Mastering Collaboration. Make Working Together Less Painful and More Productive
-
Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
-
Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
-
SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
-
The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
-
Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
-
Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
-
Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
-
Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
-
Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
-
Blockchain w biznesie. Możliwości i zastosowania łańcucha bloków
-
Jira Quick Start Guide. Manage your projects efficiently using the all-new Jira
-
NoSQL, NewSQL i BigData. Bazy danych następnej generacji
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
-
Nexus czyli skalowalny Scrum
-
Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
-
Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
-
QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
-
Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
-
Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
-
Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
-
Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
-
Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
-
Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
-
TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
-
Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
-
Budowanie systemów inteligentnych
-
Obsługa logistyczna w handlu elektronicznym. Wartość dla klienta
-
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Concepts, Tools, and Techniques to Build Intelligent Systems. 2nd Edition
-
Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition