Best Machine Learning Software - Page 7

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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

Leader:
Highest Performer:
Best Contender:
Most Trending:
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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.

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226 Listings in Machine Learning Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dlib Machine Learning is a tool that contains a wide range of machine learning algorithms, designed to be highly modular, quick to execute, and simple to use via a clean and modern C++ API and used in

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dlib Machine Learning features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DLib
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

Dlib Machine Learning is a tool that contains a wide range of machine learning algorithms, designed to be highly modular, quick to execute, and simple to use via a clean and modern C++ API and used in

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Dlib Machine Learning features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
0.0
No information available
Seller Details
Seller
DLib
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GraphLab Create is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance data products.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • GraphLab Create API features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Pittsburgh, PA
Product Description
How are these determined?Information
This description is provided by the seller.

GraphLab Create is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance data products.

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Small-Business
GraphLab Create API features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
10.0
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
HQ Location
Pittsburgh, PA

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Marvin processes structured data for software development, enhancing your software development process.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Marvin 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
    Ease of Use
    9
    AI Technology
    3
    Intuitive
    3
    Model Variety
    3
    Open-Source
    3
    Cons
    Usage Limitations
    3
    AI Limitations
    2
    Limitations
    2
    Complex Implementation
    1
    Complex Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Marvin AI features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.8
    Ease of Use
    Average: 8.4
    8.0
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

Marvin processes structured data for software development, enhancing your software development process.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 33% Mid-Market
Marvin 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
Ease of Use
9
AI Technology
3
Intuitive
3
Model Variety
3
Open-Source
3
Cons
Usage Limitations
3
AI Limitations
2
Limitations
2
Complex Implementation
1
Complex Setup
1
Marvin AI features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.8
Ease of Use
Average: 8.4
8.0
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    metric-learn is the sub-field of machine learning dedicated to automatically constructing optimal distance metrics.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • metric-learn 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
    Problem Solving
    1
    Quality
    1
    Cons
    Poor Documentation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • metric-learn features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.4
    Ease of Use
    Average: 8.4
    6.1
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
Product Description
How are these determined?Information
This description is provided by the seller.

metric-learn is the sub-field of machine learning dedicated to automatically constructing optimal distance metrics.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
metric-learn 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
Problem Solving
1
Quality
1
Cons
Poor Documentation
1
metric-learn features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.4
Ease of Use
Average: 8.4
6.1
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC) that takes care of all the plumbing so data scientists, developers, and researchers

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • NGC 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
    1
    Features
    1
    Integrations
    1
    Interface Clarity
    1
    Intuitive
    1
    Cons
    Difficult Navigation
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NGC features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    7.2
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,351,390 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36,197 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (HPC) that takes care of all the plumbing so data scientists, developers, and researchers

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
NGC 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
1
Features
1
Integrations
1
Interface Clarity
1
Intuitive
1
Cons
Difficult Navigation
1
Limited Customization
1
NGC features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
7.2
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,351,390 Twitter followers
LinkedIn® Page
www.linkedin.com
36,197 employees on LinkedIn®
Ownership
NVDA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Custom Decision Service helps you create intelligent systems with a cloud-based contextual decision-making API that sharpens with experience.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Project Custom Decision features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    5.8
    Ease of Use
    Average: 8.4
    6.7
    Quality of Support
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,060,258 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Custom Decision Service helps you create intelligent systems with a cloud-based contextual decision-making API that sharpens with experience.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Small-Business
Project Custom Decision features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
5.8
Ease of Use
Average: 8.4
6.7
Quality of Support
Average: 8.4
8.3
Ease of Admin
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,060,258 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Saul is a modeling language implemented as a domain specific language (DSL) in Scala that facilitate designing machine learning models with arbitrary configurations for the application programmer, inc

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Saul features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Saul
    HQ Location
    Philadelphia, PA
Product Description
How are these determined?Information
This description is provided by the seller.

Saul is a modeling language implemented as a domain specific language (DSL) in Scala that facilitate designing machine learning models with arbitrary configurations for the application programmer, inc

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
Saul features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.8
8.9
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
9.2
Ease of Admin
Average: 8.6
Seller Details
Seller
Saul
HQ Location
Philadelphia, PA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Scibids is a SaaS platform solving algorithmic trading challenge on behalf of the media buyers.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Scibids 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
    3
    User Interface
    2
    AI Technology
    1
    Business Growth
    1
    Data Visualization
    1
    Cons
    Expensive
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Scibids features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Ease of Use
    Average: 8.4
    9.0
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Scibids
    Year Founded
    2016
    HQ Location
    Paris, FR
    LinkedIn® Page
    www.linkedin.com
    69 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Scibids is a SaaS platform solving algorithmic trading challenge on behalf of the media buyers.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 33% Small-Business
Scibids 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
3
User Interface
2
AI Technology
1
Business Growth
1
Data Visualization
1
Cons
Expensive
1
Learning Curve
1
Scibids features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.8
8.3
Ease of Use
Average: 8.4
9.0
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Scibids
Year Founded
2016
HQ Location
Paris, FR
LinkedIn® Page
www.linkedin.com
69 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Shield AI develops robots that are adaptable and capable of succeeding in the face of unanticipated challenges.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Shield AI features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.2
    Ease of Use
    Average: 8.4
    9.2
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Shield AI
    Year Founded
    2015
    HQ Location
    San Diego, US
    Twitter
    @shieldaitech
    7,273 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    757 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Shield AI develops robots that are adaptable and capable of succeeding in the face of unanticipated challenges.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Shield AI features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
9.2
Ease of Use
Average: 8.4
9.2
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Shield AI
Year Founded
2015
HQ Location
San Diego, US
Twitter
@shieldaitech
7,273 Twitter followers
LinkedIn® Page
www.linkedin.com
757 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Zippin, we help retailers reimagine their shopper experience by removing the friction of in-store shopping. We eliminate the checkout to give shoppers their time back and help retailers run their s

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 13% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zippin features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.8
    9.1
    Ease of Use
    Average: 8.4
    9.2
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zippin
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @getzippin
    554 Twitter followers
    LinkedIn® Page
    linkedin.com
    148 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Zippin, we help retailers reimagine their shopper experience by removing the friction of in-store shopping. We eliminate the checkout to give shoppers their time back and help retailers run their s

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 13% Mid-Market
Zippin features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.8
9.1
Ease of Use
Average: 8.4
9.2
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Seller
Zippin
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@getzippin
554 Twitter followers
LinkedIn® Page
linkedin.com
148 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accord.MachineLearning contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Accord.MachineLearning features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Ease of Use
    Average: 8.4
    7.5
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Redmond, WA
    Twitter
    @dotnetfdn
    58,212 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    39 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Accord.MachineLearning contains Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Accord.MachineLearning features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
10.0
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Year Founded
2014
HQ Location
Redmond, WA
Twitter
@dotnetfdn
58,212 Twitter followers
LinkedIn® Page
www.linkedin.com
39 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AForge.NET 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
    Cost Efficiency
    1
    Customization Options
    1
    Ease of Use
    1
    Machine Learning
    1
    Model Variety
    1
    Cons
    Lack of Resources
    1
    Limited Features
    1
    Limited Functionality
    1
    Poor Customer Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AForge.NET features and usability ratings that predict user satisfaction
    5.0
    Has the product been a good partner in doing business?
    Average: 8.8
    6.7
    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
Product Description
How are these determined?Information
This description is provided by the seller.

AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
AForge.NET 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
Cost Efficiency
1
Customization Options
1
Ease of Use
1
Machine Learning
1
Model Variety
1
Cons
Lack of Resources
1
Limited Features
1
Limited Functionality
1
Poor Customer Support
1
AForge.NET features and usability ratings that predict user satisfaction
5.0
Has the product been a good partner in doing business?
Average: 8.8
6.7
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
5.0
Ease of Admin
Average: 8.6
Seller Details
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AInnovation Technology Group Co., Ltd. (AInnovation, stock code 2121.HK) was established in February 2018. With the mission of "empowering business value with artificial intelligence", it is a fast-gr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AInnovation features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
Product Description
How are these determined?Information
This description is provided by the seller.

AInnovation Technology Group Co., Ltd. (AInnovation, stock code 2121.HK) was established in February 2018. With the mission of "empowering business value with artificial intelligence", it is a fast-gr

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
AInnovation features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
0.0
No information available
Seller Details
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AstroML is a Python module for machine learning and data mining that provide a community repository for fast Python implementations of common tools and routines used for statistical data analysis in a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AstroML features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    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
    Seller
    AstroML
    HQ Location
    N/A
Product Description
How are these determined?Information
This description is provided by the seller.

AstroML is a Python module for machine learning and data mining that provide a community repository for fast Python implementations of common tools and routines used for statistical data analysis in a

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Enterprise
AstroML features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
10.0
Ease of Use
Average: 8.4
10.0
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
Seller
AstroML
HQ Location
N/A
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AVDecision is a decision support software that learns from real time activities and interactions then make actions and decisions.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AVDecision features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    7.5
    Ease of Use
    Average: 8.4
    7.5
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AVDecision is a decision support software that learns from real time activities and interactions then make actions and decisions.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Mid-Market
AVDecision features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
7.5
Ease of Use
Average: 8.4
7.5
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.6
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®