×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics

(ebook) (audiobook) (audiobook) Książka w języku 1
Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Rich Collier, Bahaaldine Azarmi - okladka książki

Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Rich Collier, Bahaaldine Azarmi - okladka książki

Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Rich Collier, Bahaaldine Azarmi - audiobook MP3

Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Rich Collier, Bahaaldine Azarmi - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
304
Dostępne formaty:
     PDF
     ePub
     Mobi
Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.
As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.
By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.

Wybrane bestsellery

O autorach książki

Rich Collier is a solutions architect at Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years' experience as a solutions architect and pre-sales systems engineer for software, hardware, and service-based solutions. Rich's technical specialties include big data analytics, machine learning, anomaly detection, threat detection, security operations, application performance management, web applications, and contact center technologies. Rich is based in Boston, Massachusetts.
Bahaaldine Azarmi, or Baha for short, is the head of solutions architecture in the EMEA South region at Elastic. Prior to this position, Baha co-founded ReachFive, a marketing data platform focused on user behavior and social analytics. He has also worked for a number of different software vendors, including Talend and Oracle, where he held positions as a solutions architect and architect. Prior to Machine Learning with the Elastic Stack, Baha authored books including Learning Kibana 5.0, Scalable Big Data Architecture, and Talend for Big Data. He is based in Paris and holds an MSc in computer science from Polytech'Paris.

Rich Collier, Bahaaldine Azarmi - pozostałe książki

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Zamknij Pobierz aplikację mobilną Ebookpoint