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Best Machine Learning Software - Page 2

Matthew Miller
MM
Researched and written by Matthew Miller

Machine learning software automates tasks for users by leveraging an algorithm to produce an output. These solutions are typically embedded into various platforms and have use cases across a wide variety of industries. Machine learning solutions improve the speed and accuracy of desired outputs by constantly refining them as the application digests more training data. Machine learning software improves processes and introduces efficiency to multiple industries, ranging from financial services to agriculture. Machine learning applications include process automation, customer service, security risk identification, and contextual collaboration.

Notably, end users of machine learning-powered applications do not interact with the algorithm directly. Rather, machine learning powers the backend of the artificial intelligence (AI) that users interact with. Some prime examples of this include chatbots software and automated insurance claims management software

To qualify for inclusion in the Machine Learning category, a product must:

Offer an algorithm or product that learns and adapts based on data
Be the source of intelligent learning capabilities for applications
Consume data inputs from a variety of data pools
Provide an output that solves a specific issue based on the learned data

Best Machine Learning Software At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
225 Listings in Machine Learning Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spearmint is a software package to perform Bayesian optimization that automatically run experiments (thus the code name spearmint) in a manner that iteratively adjusts a number of parameters so as to

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 29% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spearmint features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 8.8
    9.4
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    7.9
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Spearmint
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

Spearmint is a software package to perform Bayesian optimization that automatically run experiments (thus the code name spearmint) in a manner that iteratively adjusts a number of parameters so as to

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 29% Small-Business
Spearmint features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 8.8
9.4
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.6
Seller Details
Seller
Spearmint
HQ Location
N/A
(12)4.2 out of 5
9th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GoLearn features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GoLearn
    Year Founded
    2017
    HQ Location
    Ballerup, Hovedstaden
    LinkedIn® Page
    www.linkedin.com
    65 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functi

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 33% Enterprise
GoLearn features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.8
9.2
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
9.2
Ease of Admin
Average: 8.6
Seller Details
Seller
GoLearn
Year Founded
2017
HQ Location
Ballerup, Hovedstaden
LinkedIn® Page
www.linkedin.com
65 employees on LinkedIn®

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Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    26
    Model Variety
    25
    Features
    21
    Easy Integrations
    14
    AI Technology
    12
    Cons
    Expensive
    8
    Poor Documentation
    8
    Poor User Interface
    7
    Slow Performance
    7
    Difficult Learning
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Company Website
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,976 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    103 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Small-Business
  • 27% Mid-Market
Clarifai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
26
Model Variety
25
Features
21
Easy Integrations
14
AI Technology
12
Cons
Expensive
8
Poor Documentation
8
Poor User Interface
7
Slow Performance
7
Difficult Learning
6
Clarifai features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
8.3
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
8.8
Ease of Admin
Average: 8.6
Seller Details
Seller
Clarifai
Company Website
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,976 Twitter followers
LinkedIn® Page
www.linkedin.com
103 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 56% Enterprise
    • 18% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Model Manager Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    Features
    19
    Model Management
    15
    Model Variety
    10
    User Interface
    10
    Cons
    Expensive
    11
    Lack of Guidance
    6
    Complex Implementation
    4
    Difficult Setup
    4
    Lack of Communication
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Model Manager features and usability ratings that predict user satisfaction
    7.9
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.4
    8.6
    Quality of Support
    Average: 8.4
    7.2
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 56% Enterprise
  • 18% Small-Business
SAS Model Manager Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
Features
19
Model Management
15
Model Variety
10
User Interface
10
Cons
Expensive
11
Lack of Guidance
6
Complex Implementation
4
Difficult Setup
4
Lack of Communication
4
SAS Model Manager features and usability ratings that predict user satisfaction
7.9
Has the product been a good partner in doing business?
Average: 8.8
8.5
Ease of Use
Average: 8.4
8.6
Quality of Support
Average: 8.4
7.2
Ease of Admin
Average: 8.6
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytic

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Enterprise
    • 31% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Intel(R) Data Analytics Acceleration Library features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.3
    Ease of Use
    Average: 8.4
    7.8
    Quality of Support
    Average: 8.4
    9.6
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1968
    HQ Location
    Santa Clara, CA
    Twitter
    @intel
    4,829,065 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    120,576 employees on LinkedIn®
    Ownership
    NASDAQ:INTC
Product Description
How are these determined?Information
This description is provided by the seller.

Intel Data Analytics Acceleration Library (or Intel DAAL) is a software development library that is highly optimized for Intel architecture processors it provides building blocks for all data analytic

Users
No information available
Industries
No information available
Market Segment
  • 46% Enterprise
  • 31% Small-Business
Intel(R) Data Analytics Acceleration Library features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.3
Ease of Use
Average: 8.4
7.8
Quality of Support
Average: 8.4
9.6
Ease of Admin
Average: 8.6
Seller Details
Year Founded
1968
HQ Location
Santa Clara, CA
Twitter
@intel
4,829,065 Twitter followers
LinkedIn® Page
www.linkedin.com
120,576 employees on LinkedIn®
Ownership
NASDAQ:INTC
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Naive Bayesian Classification for Golang that perform classification into an arbitrary number of classes on sets of strings.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 38% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Naive Bayesian Classification for Golang features and usability ratings that predict user satisfaction
    7.2
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.4
    7.4
    Quality of Support
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    New York City, NY
Product Description
How are these determined?Information
This description is provided by the seller.

Naive Bayesian Classification for Golang that perform classification into an arbitrary number of classes on sets of strings.

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 38% Mid-Market
Naive Bayesian Classification for Golang features and usability ratings that predict user satisfaction
7.2
Has the product been a good partner in doing business?
Average: 8.8
9.2
Ease of Use
Average: 8.4
7.4
Quality of Support
Average: 8.4
7.8
Ease of Admin
Average: 8.6
Seller Details
HQ Location
New York City, NY
(11)4.3 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Figaro is a probabilistic programming language that supports development of very rich probabilistic models and provides reasoning algorithms that can be applied to models to draw useful conclusions fr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Small-Business
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Figaro features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    9.7
    Ease of Use
    Average: 8.4
    7.9
    Quality of Support
    Average: 8.4
    8.9
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Figaro
    HQ Location
    N
Product Description
How are these determined?Information
This description is provided by the seller.

Figaro is a probabilistic programming language that supports development of very rich probabilistic models and provides reasoning algorithms that can be applied to models to draw useful conclusions fr

Users
No information available
Industries
No information available
Market Segment
  • 55% Small-Business
  • 27% Mid-Market
Figaro features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
9.7
Ease of Use
Average: 8.4
7.9
Quality of Support
Average: 8.4
8.9
Ease of Admin
Average: 8.6
Seller Details
Seller
Figaro
HQ Location
N
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as P

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Enterprise
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Xilinx Machine Learning features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AMD
    Year Founded
    1969
    HQ Location
    Santa Clara, California
    LinkedIn® Page
    www.linkedin.com
    42,779 employees on LinkedIn®
    Ownership
    NASDAQ: AMD
Product Description
How are these determined?Information
This description is provided by the seller.

The Xilinx ML Suite enables developers to optimize and deploy accelerated ML inference. It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as P

Users
No information available
Industries
No information available
Market Segment
  • 46% Enterprise
  • 31% Mid-Market
Xilinx Machine Learning features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.7
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
8.3
Ease of Admin
Average: 8.6
Seller Details
Seller
AMD
Year Founded
1969
HQ Location
Santa Clara, California
LinkedIn® Page
www.linkedin.com
42,779 employees on LinkedIn®
Ownership
NASDAQ: AMD
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MLBase.jl is a swiss knife for machine learning that does not implement specific machine learning algorithms, instead, it provides a collection of useful tools to support machine learning programs, in

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Small-Business
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MLBase.jl Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Machine Learning
    3
    Problem Solving
    3
    Flexibility
    2
    Model Variety
    2
    Cons
    Complex Implementation
    3
    Complexity
    3
    Poor Documentation
    2
    Complex Setup
    1
    Difficult Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLBase.jl features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.5
    Ease of Use
    Average: 8.4
    7.5
    Quality of Support
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLBase.jl
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

MLBase.jl is a swiss knife for machine learning that does not implement specific machine learning algorithms, instead, it provides a collection of useful tools to support machine learning programs, in

Users
No information available
Industries
No information available
Market Segment
  • 55% Small-Business
  • 36% Mid-Market
MLBase.jl Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Machine Learning
3
Problem Solving
3
Flexibility
2
Model Variety
2
Cons
Complex Implementation
3
Complexity
3
Poor Documentation
2
Complex Setup
1
Difficult Navigation
1
MLBase.jl features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.8
8.5
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
7.8
Ease of Admin
Average: 8.6
Seller Details
Seller
MLBase.jl
HQ Location
N/A
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Crossing Minds is the smartest platform powering perceptive recommendations that drive online discovery and engagement. Founded and led by world-renowned AI pioneers and powered by the latest advances

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 48% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Crossing Minds features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.7
    Ease of Use
    Average: 8.4
    9.8
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    San Francisco, US
    Twitter
    @crossing_minds
    1,105 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Crossing Minds is the smartest platform powering perceptive recommendations that drive online discovery and engagement. Founded and led by world-renowned AI pioneers and powered by the latest advances

Users
No information available
Industries
No information available
Market Segment
  • 48% Mid-Market
  • 40% Small-Business
Crossing Minds features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.7
Ease of Use
Average: 8.4
9.8
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Year Founded
2017
HQ Location
San Francisco, US
Twitter
@crossing_minds
1,105 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
By Weka
(13)4.3 out of 5
14th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, re

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 77% Enterprise
    • 23% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Weka features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.2
    Ease of Use
    Average: 8.4
    7.9
    Quality of Support
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Weka
    Year Founded
    1964
    HQ Location
    Hamilton, NZ
    Twitter
    @WekaMOOC
    1,516 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,023 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, re

Users
No information available
Industries
No information available
Market Segment
  • 77% Enterprise
  • 23% Mid-Market
Weka features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.2
Ease of Use
Average: 8.4
7.9
Quality of Support
Average: 8.4
9.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Weka
Year Founded
1964
HQ Location
Hamilton, NZ
Twitter
@WekaMOOC
1,516 Twitter followers
LinkedIn® Page
www.linkedin.com
3,023 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Black Crow AI is a Shopify app that predicts shopping behavior patterns to efficiently acquire and reach more customers across digital marketing channels. We empower e-commerce brand growth by unlocki

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Black Crow AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    3
    Customer Insights
    3
    Customer Support
    3
    Helpful
    3
    Business Growth
    2
    Cons
    Data Management
    1
    Feature Limitations
    1
    Integration Difficulties
    1
    Integration Issues
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Black Crow AI features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.8
    Ease of Use
    Average: 8.4
    10.0
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    New York, NY
    Twitter
    @BlackCrowAI
    295 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    69 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Black Crow AI is a Shopify app that predicts shopping behavior patterns to efficiently acquire and reach more customers across digital marketing channels. We empower e-commerce brand growth by unlocki

Users
No information available
Industries
No information available
Market Segment
  • 58% Small-Business
  • 33% Mid-Market
Black Crow AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
3
Customer Insights
3
Customer Support
3
Helpful
3
Business Growth
2
Cons
Data Management
1
Feature Limitations
1
Integration Difficulties
1
Integration Issues
1
Learning Curve
1
Black Crow AI features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.8
Ease of Use
Average: 8.4
10.0
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
HQ Location
New York, NY
Twitter
@BlackCrowAI
295 Twitter followers
LinkedIn® Page
www.linkedin.com
69 employees on LinkedIn®
(48)4.3 out of 5
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they d

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataiku Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Efficiency
    8
    Features
    8
    Data Analytics
    6
    Automation
    5
    Cons
    Learning Curve
    5
    Performance Issues
    4
    Complexity
    3
    Complexity Issues
    3
    Cost Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataiku features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.4
    8.5
    Quality of Support
    Average: 8.4
    7.5
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    23,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,415 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they d

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 27% Mid-Market
Dataiku Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Efficiency
8
Features
8
Data Analytics
6
Automation
5
Cons
Learning Curve
5
Performance Issues
4
Complexity
3
Complexity Issues
3
Cost Issues
3
Dataiku features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.8
Ease of Use
Average: 8.4
8.5
Quality of Support
Average: 8.4
7.5
Ease of Admin
Average: 8.6
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,087 Twitter followers
LinkedIn® Page
www.linkedin.com
1,415 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    warpt-ctc is a loss function useful for performing supervised learning on sequence data, without needing an alignment between input data and labels that can be used to train end-to-end systems for spe

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Mid-Market
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • warpt-ctc features and usability ratings that predict user satisfaction
    6.7
    Has the product been a good partner in doing business?
    Average: 8.8
    7.7
    Ease of Use
    Average: 8.4
    7.5
    Quality of Support
    Average: 8.4
    5.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Baidu
    Year Founded
    2000
    HQ Location
    Beijing, China
    LinkedIn® Page
    www.linkedin.com
    21,628 employees on LinkedIn®
    Ownership
    NASDAQ:BIDU
    Total Revenue (USD mm)
    $107,074
Product Description
How are these determined?Information
This description is provided by the seller.

warpt-ctc is a loss function useful for performing supervised learning on sequence data, without needing an alignment between input data and labels that can be used to train end-to-end systems for spe

Users
No information available
Industries
No information available
Market Segment
  • 36% Mid-Market
  • 36% Small-Business
warpt-ctc features and usability ratings that predict user satisfaction
6.7
Has the product been a good partner in doing business?
Average: 8.8
7.7
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
5.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Baidu
Year Founded
2000
HQ Location
Beijing, China
LinkedIn® Page
www.linkedin.com
21,628 employees on LinkedIn®
Ownership
NASDAQ:BIDU
Total Revenue (USD mm)
$107,074
(181)4.6 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive

    Users
    No information available
    Industries
    • Automotive
    • Medical Devices
    Market Segment
    • 51% Enterprise
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Minitab Statistical Software Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    31
    Data Analysis
    23
    Statistical Analysis
    21
    Analysis
    15
    Analysis Capabilities
    13
    Cons
    Expensive
    11
    Learning Curve
    9
    Data Management Issues
    6
    Limited Features
    5
    Complexity
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Minitab Statistical Software features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.7
    Ease of Use
    Average: 8.4
    8.7
    Quality of Support
    Average: 8.4
    8.5
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Minitab
    Company Website
    Year Founded
    1972
    HQ Location
    State College, Pennsylvania, United States
    Twitter
    @Minitab
    5,131 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    581 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Minitab® Statistical Software is a comprehensive data analysis solution designed to assist users in making informed, data-driven decisions through visualizations, statistical analysis, and predictive

Users
No information available
Industries
  • Automotive
  • Medical Devices
Market Segment
  • 51% Enterprise
  • 30% Mid-Market
Minitab Statistical Software Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
31
Data Analysis
23
Statistical Analysis
21
Analysis
15
Analysis Capabilities
13
Cons
Expensive
11
Learning Curve
9
Data Management Issues
6
Limited Features
5
Complexity
4
Minitab Statistical Software features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.8
8.7
Ease of Use
Average: 8.4
8.7
Quality of Support
Average: 8.4
8.5
Ease of Admin
Average: 8.6
Seller Details
Seller
Minitab
Company Website
Year Founded
1972
HQ Location
State College, Pennsylvania, United States
Twitter
@Minitab
5,131 Twitter followers
LinkedIn® Page
www.linkedin.com
581 employees on LinkedIn®