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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Enhance the transition of machine learning from theoretical research to practical application with a seamless experience tailored for your conventional platform. Cloudera Data Science Workbench (CDSW) offers a user-friendly environment for data scientists, allowing them to work with Python, R, and Scala right in their web browsers. Users can download and explore the newest libraries and frameworks within customizable project settings that mirror the functionality of their local machines. CDSW ensures robust connectivity not only to CDH and HDP but also to the essential systems that support your data science teams in their analytical endeavors. Furthermore, Cloudera Data Science Workbench empowers data scientists to oversee their analytics pipelines independently, featuring integrated scheduling, monitoring, and email notifications. This platform enables rapid development and prototyping of innovative machine learning initiatives while simplifying the deployment process into a production environment. By streamlining these workflows, teams can focus on delivering impactful results more efficiently.

Description

Darwin is an automated machine-learning product that allows your data science and business analysis teams to quickly move from data to meaningful results. Darwin assists organizations in scaling the adoption of data science across their teams and the implementation machine learning applications across operations to become data-driven enterprises.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Cloudera Yes 
Cloudera Data Platform Yes 
IBM Db2 Big SQL Yes 

Integrations

Cloudera No 
Cloudera Data Platform No 
IBM Db2 Big SQL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$4000
Per month, per user subscription depending on type of deployment.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html

Vendor Details

Company Name

SparkCognition

Founded

2013

Country

United States

Website

www.sparkcognition.com/product/darwin/

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language Yes 
Natural Language Processing No 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Deep Learning

Convolutional Neural Networks Yes 
Document Classification No 
Image Segmentation No 
ML Algorithm Library Yes 
Model Training Yes 
Neural Network Modeling Yes 
Self-Learning No 
Visualization No 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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