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About

IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value

Audience

Developers interested in a beautiful but advanced programming language

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IBM
Founded: 1911
United States
www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Company Information

Python
Founded: 1991
www.python.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
Amazon EMR

Amazon EMR

Amazon
MLlib

MLlib

Apache Software Foundation
E-MapReduce

E-MapReduce

Alibaba
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

AI CERTs
AutoRest
Coveralls
ElevenLabs
Falcon
Flower
Gemini Code Assist
GitHub Copilot
IDA Pro
JMP Statistical Software
Levo.ai
Luminary Cloud
Mailman
Moonglow
NXLog
Nhost
Plexe AI
Yuan Jhen DevOps PaaS
skillsync

Integrations

AI CERTs
AutoRest
Coveralls
ElevenLabs
Falcon
Flower
Gemini Code Assist
GitHub Copilot
IDA Pro
JMP Statistical Software
Levo.ai
Luminary Cloud
Mailman
Moonglow
NXLog
Nhost
Plexe AI
Yuan Jhen DevOps PaaS
skillsync

Integrations

AI CERTs
AutoRest
Coveralls
ElevenLabs
Falcon
Flower
Gemini Code Assist
GitHub Copilot
IDA Pro
JMP Statistical Software
Levo.ai
Luminary Cloud
Mailman
Moonglow
NXLog
Nhost
Plexe AI
Yuan Jhen DevOps PaaS
skillsync
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