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Top AI & ML tools
and frameworks
*This presentation is the intellectual property of Logic Fruit Technologies . Any plagiarism or misuse is
punishable according to Indian Laws.
February 2023
AI & ML: Although it has been around for a long time, artificial intelligence was once
thought to be incredibly challenging. It was typical for scientists and developers to avoid
examining utilizing it.
Software developers, data scientists, and machine learning engineers can create machine
learning models using a machine learning framework rather than needing to understand
the math and statistics behind the algorithms.
It should be no surprise that firms worldwide are spending frantically on digitization as it
has become increasingly crucial in almost every aspect of life. In the day-to-day operations
of enterprises, machine learning (ML) and artificial intelligence (AI) are seeing high adoption
rates.
2
An interface for artificial intelligence and machine learning enables programmers to create and
implement machine learning models more quickly and easily.
A technology like this enables businesses to scale their machine learning initiatives securely while
preserving a healthy AI and ML lifespan.
There are many tools and frameworks that have been developed to support the development of AI
and ML applications, and each has its own specific features and capabilities.
AI and ML tools and frameworks are used to facilitate the development and deployment
of AI/ML models and applications.
Overall, AI and ML tools and frameworks can help organizations accelerate the development and
deployment of AI and ML models and applications, and can provide a range of benefits in terms of
productivity, performance, and scalability.
3
List of Top 10 AI/ML tools and Frameworks
Below is a list of the top ten-mode tools in the AI & ML market space that you could use to
estimate if your requirements match the features offered by the tool.
• Scikit Learn
• Tensor flow
• Caffe
• Keras
• Theano
• H2O: Open Source AI/ML Platform
• PY Torch
• Spark ML Lib
• Microsoft CNTK
• Apache MX Net
4
Machine learning (ML) and artificial intelligence (AI) are used in all fields and industries. It
enables the processing of enormous amounts of data, allowing professionals to employ analysis
effectively.
Artificial intelligence (AI) technologies quickly transform nearly every aspect of our lives. We
appear to be becoming increasingly dependent on them, from how we communicate to the
modes of transportation we employ.
To know more about Top AI & ML tools and frameworks, see https://www.logic-
fruit.com/blog/al-ml/top-ai-ml-tools-and-frameworks/
5
Want to know more?
Click on the below button, to learn more about
the Top AI & ML tools and frameworks.
Learn More
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Sales@logic-fruit.com
www.logic-fruit.com

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Top AI & ML tools and frameworks

  • 1. Top AI & ML tools and frameworks *This presentation is the intellectual property of Logic Fruit Technologies . Any plagiarism or misuse is punishable according to Indian Laws. February 2023
  • 2. AI & ML: Although it has been around for a long time, artificial intelligence was once thought to be incredibly challenging. It was typical for scientists and developers to avoid examining utilizing it. Software developers, data scientists, and machine learning engineers can create machine learning models using a machine learning framework rather than needing to understand the math and statistics behind the algorithms. It should be no surprise that firms worldwide are spending frantically on digitization as it has become increasingly crucial in almost every aspect of life. In the day-to-day operations of enterprises, machine learning (ML) and artificial intelligence (AI) are seeing high adoption rates. 2
  • 3. An interface for artificial intelligence and machine learning enables programmers to create and implement machine learning models more quickly and easily. A technology like this enables businesses to scale their machine learning initiatives securely while preserving a healthy AI and ML lifespan. There are many tools and frameworks that have been developed to support the development of AI and ML applications, and each has its own specific features and capabilities. AI and ML tools and frameworks are used to facilitate the development and deployment of AI/ML models and applications. Overall, AI and ML tools and frameworks can help organizations accelerate the development and deployment of AI and ML models and applications, and can provide a range of benefits in terms of productivity, performance, and scalability. 3
  • 4. List of Top 10 AI/ML tools and Frameworks Below is a list of the top ten-mode tools in the AI & ML market space that you could use to estimate if your requirements match the features offered by the tool. • Scikit Learn • Tensor flow • Caffe • Keras • Theano • H2O: Open Source AI/ML Platform • PY Torch • Spark ML Lib • Microsoft CNTK • Apache MX Net 4
  • 5. Machine learning (ML) and artificial intelligence (AI) are used in all fields and industries. It enables the processing of enormous amounts of data, allowing professionals to employ analysis effectively. Artificial intelligence (AI) technologies quickly transform nearly every aspect of our lives. We appear to be becoming increasingly dependent on them, from how we communicate to the modes of transportation we employ. To know more about Top AI & ML tools and frameworks, see https://www.logic- fruit.com/blog/al-ml/top-ai-ml-tools-and-frameworks/ 5
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