Vivek Mishra, Tomcy John, Pankaj Misra - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
-
Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
-
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
-
Specyfikacja wymagań oprogramowania. Kluczowe praktyki analizy biznesowej
-
Deep Learning for Finance
-
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
-
Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
-
Probabilistic Machine Learning for Finance and Investing
-
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
-
Marketing i analityka biznesowa dla początkujących. Poznaj najważniejsze narzędzia i wykorzystaj ich możliwości
-
Wizualizacja danych. Pulpity nawigacyjne i raporty w Excelu
-
Zaawansowana analiza danych w PySpark. Metody przetwarzania informacji na szeroką skalę z wykorzystaniem Pythona i systemu Spark
-
Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
-
Dziennikarstwo danych i data storytelling
-
Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
-
Głębokie uczenie. Wprowadzenie
-
The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
-
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
-
Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
-
Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
-
Matematyka dyskretna dla praktyków. Algorytmy i uczenie maszynowe w Pythonie
-
AI-Powered Commerce. Building the products and services of the future with Commerce.AI
-
Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
-
Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
-
Machine Learning for Financial Risk Management with Python
-
Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
-
Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
-
Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
-
Wykorzystanie sztucznych sieci neuronowych
-
Kubeflow Operations Guide
-
Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
-
Kubeflow for Machine Learning
-
Machine Learning and Data Science Blueprints for Finance
-
The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
-
The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
-
The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
-
Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
-
Tłumaczenie wspomagane komputerowo
-
Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
-
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
-
TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
-
Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
-
Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
-
Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
-
Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
-
Uczenie maszynowe z językiem JavaScript. Rozwiązywanie złożonych problemów
-
Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
-
Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
-
Machine Learning with Scala Quick Start Guide. Leverage popular machine learning algorithms and techniques and implement them in Scala
-
Hands-On Neural Networks with Keras. Design and create neural networks using deep learning and artificial intelligence principles
-
Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
-
TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python
-
Python. Uczenie maszynowe. Wydanie II
-
Data Wrangling with Python. Creating actionable data from raw sources
-
Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
-
Wprowadzenie do systemów baz danych. Wydanie VII
-
Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
-
Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
-
Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
-
Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
-
Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and 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
-
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
-
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
-
Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML
-
Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
-
R Programming Fundamentals. Deal with data using various modeling techniques
-
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
-
Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
-
Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
-
Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
-
Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
-
Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
-
Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
-
Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
-
Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
-
Beginning Swift. Master the fundamentals of programming in Swift 4
-
Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
-
Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
-
Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition
-
Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
-
Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
-
Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
-
TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
-
Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
-
SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
-
Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
-
MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
-
Computer Vision with OpenCV 3 and Qt5. Build visually appealing, multithreaded, cross-platform computer vision applications
-
TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Python. Uczenie maszynowe
-
Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
-
MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
-
Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
-
Neural Networks with R. Build smart systems by implementing popular deep learning models in R
-
Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
-
Learning Spark SQL. Architect streaming analytics and machine learning solutions
-
R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
-
Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
-
Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
-
Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
-
Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
-
Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
-
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
-
Polars Cookbook. Over 60 practical recipes to transform, manipulate, and analyze your data using Python Polars
-
Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud
-
Analiza statystyczna z IBM SPSS Statistics