Machine learning focuses on applications that learn from experience and improve their decision-making or predictive accuracy over time. Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time wit hout being programmed to doso.
Indata science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are 'trained' to find patterns and features in massive amounts of data in order to make decisions and predictions based on newdata. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data.
Perhaps the most interesting thing about AI is that, while it can automate and do “work” at greater efficiency, it uses machine learning to“think” and “learn” over time, strategizing, designing, recognizing patterns,and making decisions. If that sounds a lot like a human brain, it’s because deep learning, one of the most important methods of machine learning, is based on the idea of a neural network, modeling the structure and function of the human brain.
And the impact of all this is huge. Some estimate a staggering $13 trillion in global economic activity by 2030 thanks toAI. And millions of new jobs are expected in the coming years.
Data is more valuable than ever—some have even said that “data is the new oil.” Reams of data are vital to making AI engines work, enabling them to learn. So some traditional businesses, including in manufacturing and agriculture, are leveraging their businesses to provide data as a service.
Step 1: Select and prepare a training dataset
Step 2: Choose an algorithm to run on the training data set
Step 3: Training the algorithm to create the model
Step 4: Using and improving the model
Cloudprisma implemented successfully the machine learning model in 14 steps – start to End flows
Types of Machine Learning:-
CloudPrisma expertise in Microsoft technologies are privileged to enable leading-edge customers and partners who are taking advantage of Azure cloud and Machine learning artificial intelligence and applying it to their businesses in novel ways and,in doing so, creating leading-edge intelligent business solutions for our digital age.
OAuth is an open-standard authorization protocol or framework that provides applications the ability for “secure designated access.” For example, you can tell Facebook that it's OK for ESPN.com to access your profile or post updates to your timeline without having to give ESPN your Facebook password
Simple linear regression is a regression model that estimates the relationship between one independent variable and one dependent variable using a straight line. Both variables should be quantitative. ... Linear regression most often uses mean-square error (MSE) to calculate the error of the model.