Technology is becoming advanced, and with the latest development in technology, Machine Learning is on the rise. As we know, machine learning is nothing but a type of artificial intelligence that makes the computer self-sufficient to learn new things without being explicitly programmed. The rapidly growing market has resulted in successful web applications and services such as Netflix, Amazon, Facebook, Spotify, etc. So, the question is when you are looking for such kind of output and development to enhance your startup, is AI with Ruby on Rails or Machine Learning with Ruby on Rails a perfect choice?
Machine learning and data science are the two sides of the same coin. You can’t work on one of them by avoiding the other. The machine learning automatically behaves by predicting the unknown results depending upon the related data sources. The uncertainty is almost diminished as the predictions are based on the behavioral actions of the users, and hence, the recommendations are also correctly displayed. When the computer itself gains the ability to smartly learn the mindset of the person using the application or web solution, it is called as AI learning or machine learning in a layman’s language.
AI based projects are completely different from traditional software developments. The significant difference lies in the tech stack, as AI-based projects require deep research. To implement your AI aspirations, a stable and flexible language like Python makes great sense.
How can I practice Machine Learning with RoR?
If you search on Github for “Machine Learning Ruby,” you will come across numbers of Ruby-based ML tools. Yes, Ruby is not an ideal choice for machine learning processes, but Ruby is actually a good choice for user interaction and API functions. However, Java works well for the classification tasks and actual training as it works perfectly well.
If Ruby does not match Machine Learning, then what’s the alternative?
It’s Python. Python is a general-purpose, interpreted, and high-level OOPs based dynamic programming language that has always been the recommended web framework for data sciences as it has excellent numbers of packages to offer such as TensorFlow, pandas, Keras, and NumPy. The whole new project set-up can be done quickly using these computations.
Automation of tasks
Ruby on Rails has been a preferred choice for the developers because it assists with task automation, which is a blessing in the technology world. All routes are set up the Rails itself; it means you need just to follow the rails to get all the clues and tips. The MVC is easily stringed with the help of routes driven by the Rails through automation.
ROR is the best example of uncompromising architecture in developing the web application framework. When you choose ROR, you get the best web architecture to work with. It is just awesome to get along with it for developing new web services and applications.
The leaner code-base, as well as the use of existing plugins along with modular designs, turn ROI as 2X faster for developing new web service frameworks such as apps and services. You can trust and recommend the framework for startups, who are looking to design their independent web service portal.
Stack of Rail Libraries
Rails libraries have always been supportive of the developers in getting the exact information while creating web applications. It is one of the most recommended libraries for creating interactive and engaging web services.