Fai clic su di un'immagine per andare a Google Ricerca Libri.
Sto caricando le informazioni... Agile Data Science: Building Data Analytics Applications with Hadoopdi Russell Jurney
Nessuno Sto caricando le informazioni...
Iscriviti per consentire a LibraryThing di scoprire se ti piacerà questo libro. Attualmente non vi sono conversazioni su questo libro. Nessuna recensione nessuna recensione | aggiungi una recensione
Mining big data requires a deep investment in people and time. How can you be sure you ́re building the right models? With this hands-on book, you ́ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You ́ll learn an iterative approach that enables you to quickly change the kind of analysis you ́re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track Non sono state trovate descrizioni di biblioteche |
Discussioni correntiNessuno
Google Books — Sto caricando le informazioni... GeneriSistema Decimale Melvil (DDC)006.312Information Computer Science; Knowledge and Systems Special Topics Artificial Intelligence Machine LearningClassificazione LCVotoMedia:
Sei tu?Diventa un autore di LibraryThing. |