Machine Learning using Python
One of the emerging field of study, that is Machine learning has got wide scopes which provides a powerful gateway to the field of automation and production.Machine learning is one of the applications of artificial intelligence which provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and thus use it to learn for themselves.The process of training and prediction of machines involve the use of specialized algorithms. We feed the training data to an algorithm, and the algorithm uses this training data to give predictions on a new test data.
Python is usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. Python is widely considered as the preferred language for teaching and learning Machine interfaces.
Machine Learning Engineer is responsible creating machine learning models and retraining systems. To do this job successfully, one needs exceptional skills in statistics and programming.A machine learning developer is an expert on using data to training models. The models created are then used to automate processes like image classification, speech recognition, and market forecasting. A machine learning developer always produce a tailor-made solution for each problem. The only way to achieve optimal results is to carefully process the data and select the best algorithm for the given context.
A machine learning expert must have experience in systems engineering and configuration management ,development and automation,version control systems. He/She must be good in unit testing, test-driven development and standard software development lifecycle best practices . They must investigate and implement new scientific analysis and methodologies to support big data analytics efforts.