Alok Malik, Bradford Tuckfield - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition
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Deep Learning at Scale
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Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
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Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
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Wnioskowanie i związki przyczynowe w Pythonie. Nowoczesne uczenie maszynowe z wykorzystaniem bibliotek DoWhy, EconML, PyTorch i nie tylko
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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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Predictive Analytics for the Modern Enterprise
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Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
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Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu. Wydanie II
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Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights
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Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning
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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition
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Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym
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Architecting Data and Machine Learning Platforms
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Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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Learning Data Science
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AI w Biznesie: Praktyczny Przewodnik Stosowania Sztucznej Inteligencji w Różnych Branżach
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Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
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Podręcznik architekta rozwiązań. Poznaj reguły oraz strategie projektu architektury i rozpocznij niezwykłą karierę. Wydanie II
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Data Wrangling on AWS. Clean and organize complex data for analysis
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Graph-Powered Analytics and Machine Learning with TigerGraph
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Data Curious
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Embedded Analytics
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Machine Learning for High-Risk Applications
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Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
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Uczenie maszynowe. Elementy matematyki w analizie danych
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Matematyka w uczeniu maszynowym
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Cyfrowe Państwo. Uwarunkowania i perspektywy
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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Simplifying Android Development with Coroutines and Flows. Learn how to use Kotlin coroutines and the flow API to handle data streams asynchronously in your Android app
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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Natural Language Processing with Transformers, Revised Edition
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Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud
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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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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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Reliable Machine Learning
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Conversational AI with Rasa. Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots
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Communicating with Data
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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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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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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
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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 with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Algorytmy sztucznej inteligencji. Ilustrowany przewodnik
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Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
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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 Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Analiza danych w zarządzaniu projektami
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Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization
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Python dla DevOps. Naucz się bezlitośnie skutecznej automatyzacji
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Microsoft Excel 2013 Budowanie modeli danych przy użyciu PowerPivot
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Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
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Machine Learning Design Patterns
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Uczenie maszynowe na Raspberry Pi
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Power BI i Power Pivot dla Excela. Analiza danych
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Semantic Modeling for Data
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Tableau Prep: Up & Running
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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 Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition
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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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Kompletny przewodnik po DAX, wyd. 2 rozszerzone. Analiza biznesowa przy użyciu Microsoft Power BI, SQL Server Analysis Services i Excel
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - 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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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
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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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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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Korporacyjne jezioro danych. Wykorzystaj potencjał big data w swojej organizacji
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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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arc42 by Example. Software architecture documentation in practice
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Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
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Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition
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TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python
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Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Applied Deep Learning on Graphs. Leveraging Graph Data to Generate Impact Using Specialized Deep Learning Architectures
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis in Rust
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Analiza statystyczna z IBM SPSS Statistics
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Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
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Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition