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DataRobot
Was ist DataRobot?
DataRobot ist ein Anbieter von automatisiertem maschinellem Lernen. Unternehmen nutzen DataRobot, um die bereits vorhandenen Teams zu befähigen, schnell Modelle für maschinelles Lernen zu erstellen und einzusetzen und fortschrittliche KI-Anwendungen zu entwickeln. Mit einer Bibliothek von hunderten leistungsfähigen Open-Source-Algorithmen für maschinelles Lernen vereint die DataRobot-Plattform alle Best Practices und Sicherheitsvorkehrungen, um Data-Science-Fähigkeiten zu beschleunigen und zu skalieren und gleichzeitig die Transparenz und Genauigkeit zu maximieren.
Wer verwendet DataRobot?
Cloudbasierte Plattform für maschinelles Lernen, die Unternehmen bei der Skalierung von Data-Science-Fähigkeiten durch den Einsatz von maschinellen Lernmodellen und der Erstellung von fortschrittlichen KI-Anwendungen unterstützt.
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DataRobot
Bewertungen über DataRobot
DataRobot, a must try ML based tool in the market
Kommentare: Its a fair tool for 100% data automation but needs a lot of development for wide level of market acceptance
Vorteile:
1. High standard of speed test ready model 2. UI is not cluttered 3. Robust data science auto ML platform with multi configuring options 4. Excellent time series model 5. Easy to implement and run through
Nachteile:
1. AI is pretty complex and only set for expert level folks 2. Higher cost with the limited seats up to 5 users in one license 3. No native connector is provided wile you use hadoop hive/ impala
Easy to use and flexible
Kommentare: For solving Marketing use cases such as , ideal customer profiles, it's a great experience. I would recommend to anyone
Vorteile:
For start-up it's great. The design and understanding for beginners Is well thought out. It's initiative design and interface is very good. It's fast and value for any user
Nachteile:
I need to clean the data often No ETL capabilities Plug and play API's would be a bonus But for the price it's good
In Betracht gezogene Alternativen:
Powerful but expensive
Kommentare: It has been very positive, it's just unfortunate that AutoML is only available for 30 days.
Vorteile:
The auto machine learning model training capability of this software is really powerful and shows a ton of metrics upon completion. Overall, it is also very easy to use.
Nachteile:
This software is too expensive for companies we talk to who are just trying to get started in machine learning, and the fact that AutoML, one of the most important tools for a citizen data scientist, is not in the free version, makes it hard to us to convince companies to "try out" machine learning.
Good and straightforward
Vorteile:
Great robot data software, easy to use and implement
Nachteile:
It can be confusing but the manual help me sort it out
The future of machine learning!
Vorteile:
I like that it automatically puts datasets through multiple. One does not need heavy machine learning training in order to use this tool and read the results.
Nachteile:
I dislike that the file types it accepts for data is somewhat limited.