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- machine-learning in Python-vs-Mahout
Compare Mahout and machine-learning in Python 
At a Glance
Market Segments
Mid-Market (38.5% of reviews)
Enterprise (40.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Mahout
Star Rating
(13)4.2 out of 5
Market Segments
Mid-Market (38.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Mahoutmachine-learning in Python
Star Rating
(35)4.7 out of 5
Market Segments
Enterprise (40.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about machine-learning in PythonSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Mahout excels in its integration capabilities, particularly with Apache Hadoop, making it a strong choice for organizations already utilizing big data frameworks. In contrast, users mention that machine-learning in Python offers more flexibility with various libraries like TensorFlow and Scikit-learn, allowing for a broader range of applications.
- Reviewers mention that Mahout's algorithm selection is robust, particularly for clustering and classification tasks, but some users feel that it lacks the depth of advanced algorithms found in machine-learning in Python, which supports a wider array of cutting-edge techniques.
- G2 users highlight that Mahout's training data handling is efficient for large datasets, but users on G2 report that machine-learning in Python provides more intuitive data preprocessing tools, making it easier for users to prepare their data for analysis.
- Users say that Mahout's actionable insights are beneficial for businesses focused on big data analytics, but reviewers mention that machine-learning in Python shines in its ability to generate custom insights through its extensive library support and community-driven resources.
- Reviewers mention that Mahout has a steeper learning curve, with an ease of use rating of 7.1, while users report that machine-learning in Python is more user-friendly, reflected in its higher ease of use rating of 8.9, making it more accessible for beginners.
- Users on G2 report that Mahout's quality of support is commendable, with a score of 8.8, but some users feel that machine-learning in Python, while slightly lower at 8.4, benefits from a larger community and more extensive online resources for troubleshooting and learning.
Pricing
Entry-Level Pricing
Mahout
No pricing availablemachine-learning in Python
No pricing availableFree Trial
Mahout
No trial information availablemachine-learning in Python
No trial information availableRatings
Meets Requirements
8.3
11
9.0
26
Ease of Use
7.1
11
9.0
29
Ease of Setup
7.6
9
8.8
20
Ease of Admin
7.6
9
9.0
17
Quality of Support
8.8
8
8.4
26
Has the product been a good partner in doing business?
8.6
6
8.9
16
Product Direction (% positive)
8.9
11
10.0
24
Features by Category
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Mahout and machine-learning in Python are categorized as Machine Learning
Unique Categories
Mahout has no unique categories
machine-learning in Python has no unique categories
Reviews
Reviewers' Company Size
Mahout
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
machine-learning in Python
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
23.1%
Transportation/Trucking/Railroad
7.7%
Telecommunications
7.7%
Semiconductors
7.7%
Real Estate
7.7%
Other
46.2%
Computer Software
25.0%
Information Technology and Services
15.6%
Research
12.5%
Higher Education
6.3%
Telecommunications
3.1%
Other
37.5%
Most Helpful Reviews
Mahout
Most Helpful Favorable Review
Verified User in Banking
Apache mahout is used for scalable machine learning project implementation and development
Most Helpful Critical Review
varu s.
Verified User in Semiconductors
The compute time is relatively slow when compared to other similar frameworks like Mlib and tenserflow. Also, there's no enterprise support as such and it's purely an open source framework with limited online knowledge repository.
machine-learning in Python
Most Helpful Favorable Review
Dinesh Y.
Verified User in Financial Services
It's available on open-source platform & have a very good community for clarifying all the doubts
Most Helpful Critical Review
Chinmaya L.
Verified User in Automotive
Sometimes the code is incomplete and therefore the project remains incomplete.
Verified User in Banking
Apache mahout is used for scalable machine learning project implementation and development
Dinesh Y.
Verified User in Financial Services
It's available on open-source platform & have a very good community for clarifying all the doubts
varu s.
Verified User in Semiconductors
The compute time is relatively slow when compared to other similar frameworks like Mlib and tenserflow. Also, there's no enterprise support as such and it's purely an open source framework with limited online knowledge repository.
Chinmaya L.
Verified User in Automotive
Sometimes the code is incomplete and therefore the project remains incomplete.
Alternatives
Discussions
Mahout has no discussions with answers
Which Python version is best for machine learning?
2 comments
SM
3.7 or later version is best to use this language.Read more
What is Python with machine learning?
1 comment
SD
Firstly python is just a way to get machine learning things get done not inter related to machine learning. But using python in machine learning will help...Read more
machine-learning in Python has no more discussions with answers
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