Maddali

Photo by Julia Zolotova on UnsplashMachine learning and data science have been gaining a lot of traction in the recent decade. We see numerous applications in self-driving cars, spam filtering, detecting defects in manufacturing units, and face recognition. Furthermore, it is estimated that companies can reach a high worth if they are successful in implementing machine learning and artificial intelligence. However, there can be times when the machine learning models are not understood thoroughly by the practitioners of…

While the performance of a machine learning model can seem impressive, it might not be making a significant impact to the business unless it is able to explain why it has given those predictions in the first place.Photo by おにぎり on UnsplashA lot of work has been done with the hyperparameter tuning of various machine learning models in order to finally get the output of interest for the end-business users so that they can take actions according to the model. While your company understands the power of machine learning and…

Understanding what bias actually is and taking the right steps to prevent it can be quite useful in the field of data science.Photo by Bodie Pyndus on UnsplashWell, the company has spent a significant amount of revenue to help grow their business with the aid of machine learning. As a person who is mostly involved in the data cleaning and data preparation along with performing valuable predictions for the company, there is one more important factor to be considered when trying to deploy the ML models in production. It is…

Understanding the importance of monitoring the ML and deep learning models after production can have a significant impact that these models create to the business organization.Photo by Markus Spiske on UnsplashAs a person who is involved in mostly the data related activities such as data processing, data manipulation and model predictions, you are also given an additional task as a data scientist or a machine learning engineer to deploy the product in real-time. After doing the heavy lifting of understanding the right…

Learning the important practices done by data scientists and machine learning engineers ensures that one produces work that is high quality and impactful in the organization.Photo by Boitumelo Phetla on UnsplashThere has been a large number of courses that teach the fundamentals of programming and data science. They do a good job in reinforcing various concepts in machine learning and show various steps that are usually followed when building a project with ML capabilities. While these courses mostly focus on the…

Understanding the essential steps present in machine learning can be beneficial so that one can organize and focus their energy and resources to completing each step in the overall ML workflow.Photo by EJ Strat on UnsplashOftentimes in machine learning, there is a confusion about how to build a scalable and robust model which can be deployed in real-time. The thing that mostly complicates this is the lack of knowledge about the overall workflow in machine learning. Understanding the various steps in machine learning…

While the metrics that are used in machine learning can show impressive results on the test set, they can sometimes be misleading unless understood thoroughly.Photo by Izzy Gerosa on UnsplashAfter performing all the tasks and the workflow of machine learning, such as the data collection, data visualization, data processing, data manipulation and training, you are yet to perform one of the interesting tasks which is to analyze your models and evaluate their performance. In order to do this, you divide the overall data into…

Photo by Bill Oxford on UnsplashLearn the various ways and methods in which machine learning and data science is used in medical diagnosis along with getting to know some of the setbacks and challengesMachine Learning is being used in many industries such as automobile, manufacturing, and retail industries. With the development of machine learning and deep learning algorithms, there are a huge number of useful predictions such as predicting the stock prices, house prices and loan default prediction. Furthermore, there is…