Dear Doctor

"Best AI Tool For Developers

1. TensorFlow

TensorFlow is the go-to tool if you want an open-source framework for numerical calculations and data graphs. Moreover,  If you are using Python, the machine-learning process can be accelerated with the help of TensorFlow, with the open-source library assisting numerical computing. These help to modify deep learning as well as machine learning models. You can get and use these computations easily.

2. Google AI Platform

If you have a starter then it's good news as with the help of Google Cloud, you can develop machine learning to assimilate any data irrespective of the size.

Machine learning models that are strange can be used with Google's prediction platform to interact with the infrastructure of any company its applications and APIs. Moreover, these APIs are accessible via libraries for some common programming languages that can include Python, NET, and  JavaScript.

3. Wipro HOLMES

Wipro HOLMES is the answer if you want a cognitive AI service-powered app builder platform. It uses machine learning to speed up business processes.

4. Microsoft Azure

If you are looking forward to simplified machine learning, especially for enterprise use, then Microsoft Azure is an iconic tool! You get cloud-based advanced analytics with Microsoft Azure and share it with the community in any product gallery or in a Marketplace that has machine learning. These include finished product services and APIs.

5. Infosys Nia

Did you know? Infosys Nia is knowledge-based and built on an AI development platform. To promote accelerated automation and unique ideas, Infosys Nia combines machine learning and the particular organisation's knowledge. Naturally, it empowers any business to have greater insight to simplify and improve critical business operations.

6. PyTorch

Just like TensorFlow, PyTorch is another application where you can transform your ideas into real and functional applications. The entire framework of PyTorch is created so that it can support the numerous aspects of open source that are required for AI projects.  These may include vast libraries and data sets from where you can pull the data together.

7. H2O.ai

If you are looking for the fastest and best AI support tool then H2O.ai is your one-stop solution. The best part about this AI cloud platform is that it is trying to make AI tools available to anyone and trying to positively impact those who are against the use of AI.

8. Amazon Web Services

If you have a code that you want to run or you need a familiar place to start building your code you can do it for free on AWS.  this particular platform will store all the results and output of the programs that you run.

9. GitHub

To keep all your collaborative work in order GitHub is the best platform for you. This platform organizes projects based on similar coding structures. Moreover, it keeps track of the histories, the notes, and the Wikis that you are using."

Good question by Wisam Mohammed Abed Alqaraghuli and appreciated Sundus F Hantoosh

I would recommend TensorFlow if you are interested in developing applications because I find it easier to program. On the other hand, if you are inclined towards research, I suggest using PyTorch. In my opinion, PyTorch is more flexible for programming, providing researchers with greater control and ease of experimentation. Both frameworks have their strengths, so the choice ultimately depends on your specific goals and preferences.