Examinando "Data Modeling & Design" (Mostrando 941 - 960 de 1177 resultados)

Advanced Topics

A beginner's guide to harnessing the power and ease of PySpark 3

Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Practical guide to creating interactive and user-friendly business intelligence dashboards

Utilize the right mix of tools to create high-performance data science applications

Practical architectural patterns for building modern, distributed cloud-native systems

Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

Perform EDA techniques to understand, summarize, and investigate your data

Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

Solve computer vision problems with modeling in TensorFlow and Python

Master proven approaches, tools, and techniques to make your user experience great again

Self-learning exercises and valuable insights for Kaggle data science competitions

Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

Become an expert in exploratory data analysis using R packages

Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

A hands-on guide to using Looker Studio for building compelling and effective dashboards

Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

Transform your organization into a data-driven one with the power of Python machine learning

A practical guide to building data models using Tableau Prep and Tableau Desktop

Manage the end-to-end machine learning life cycle with MLflow