Ian Goodfellow, Yoshua Bengio, Aaron Courville - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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The Kaggle Book. Data analysis and machine learning for competitive data science
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Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
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Data Algorithms with Spark
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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Data Mesh
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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TinyML. Wykorzystanie TensorFlow Lite do uczenia maszynowego na Arduino i innych mikrokontrolerach
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Matematyka dyskretna dla praktyków. Algorytmy i uczenie maszynowe w Pythonie
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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Intelligent Workloads at the Edge. Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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Machine Learning for Financial Risk Management with Python
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Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
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Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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Uczenie głębokie i sztuczna inteligencja. Interaktywny przewodnik ilustrowany
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Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Reliable Machine Learning
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
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Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
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Tableau Strategies
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Practical Machine Learning for Computer Vision
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Wzorce projektowe uczenia maszynowego. Rozwiązania typowych problemów dotyczących przygotowania danych, konstruowania modeli i MLOps
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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
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Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
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Machine learning, Python i data science. Wprowadzenie
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale
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Algorytmy sztucznej inteligencji. Ilustrowany przewodnik
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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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Umiejętności analityczne w pracy z danymi i sztuczną inteligencją. Wykorzystywanie najnowszych technologii w rozwijaniu przedsiębiorstwa
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
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Hands-On Data Visualization
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Przetwarzanie języka naturalnego w akcji
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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Uczenie maszynowe w aplikacjach. Projektowanie, budowa i wdrażanie
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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
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Python dla DevOps. Naucz się bezlitośnie skutecznej automatyzacji
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Opowieści ukryte w danych. Wyjaśnij dane i wywołaj działania za pomocą narracji
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Machine Learning Design Patterns
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Kubeflow for Machine Learning
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Praktyczne uczenie nienadzorowane przy użyciu języka Python
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Wprowadzenie do uczenia maszynowego według Esposito
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The Self-Service Data Roadmap
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Semantic Modeling for Data
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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Building Machine Learning Pipelines
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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Uczenie głębokie od zera. Podstawy implementacji w Pythonie
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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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Innovative Tableau. 100 More Tips, Tutorials, and Strategies
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Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
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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
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Przetwarzanie i analiza obrazów w systemach przemysłowych. Wybrane zastosowania
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
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Jak myślą inteligentne maszyny
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Człowiek na rozdrożu. Sztuczna inteligencja 25 punktów widzenia
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The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science
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Building Machine Learning Powered Applications. Going from Idea to Product
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CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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TinyML. Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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arc42 by Example. Software architecture documentation in practice
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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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Programming PyTorch for Deep Learning. Creating and Deploying Deep Learning Applications
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Practical Data Science with SAP. Machine Learning Techniques for Enterprise Data
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Deep Learning