Top Applications of Machine Learning in the Healthcare Sector!
Digitalization is taking away all the industries, but its significance in the healthcare sector has been phenomenal! Applications of machine learning (AML) are meeting potential demands with better operations and reduced costs.
Introduction to Why and How to apply Machine learning operations
What are Machine learning operations? Machine learning operations (MLOps) is the usage and implementation of ML models in DevOps (development/operations).Read more
Best way to detect objects in images using ML Kit
ML Kit is a mobile SDK that brings Google’s expertise in machine learning to Android and iOS applications in a strong but easy to use kit. Whether you’re new to machine learning or experienced you can implement the features you need in just a few lines of code. Learn more by reading the blog.
Bot with Azure Bot Service
Azure Bot Service provides many ways to create bots using core components, including the Bot Framework SDK for developing bots and the bot service for connecting bots to channels. In this topic, you will be able to choose either Python or Node.js template to create a bot using the Bot Framework SDK v4. Know more by reading the blog.
What is kubeflow pipelines?
Kubeflow is a machine learning tool for kubernetes. Kubeflow is a Kubernetes-native platform for deploying, running and developing portable and scalable machine learning applications. Read the blog now and know the key components and features in detail.
Data Preprocessing and Data prediction using Scikit learn
In this Blog, we have tried and articulated Steps for Data Preparation/Preprocessing and Data Prediction using Scikit learn.we have successfully built a model, which can predict the salary of new employees which company should offer based on the result of the statistical test set. Read and understand those steps now.
Introduction to Tensorflow
This blog provides insights about Tensors which are multidimensional arrays, categorized in a hierarchy according to their order.
What is Emotion Recognition using Machine Learning?
Detecting human emotions with technology is almost a challenging task. Research has shown that 90% of our communication can be non-verbal. Now thanks to MACHINE LEARNING, there has never been a more exciting time in the history of computer science.