JAY KUMAR

  Healthcare organizations of all sizes, types, and specialties are becoming increasingly interested in how artificial intelligence can support better patient care while reducing costs and improving efficiency. In a relatively short period of time, the availability and sophistication of AI have exploded, leaving providers, payers, and other stakeholders with a dizzying array of tools, technologies, and strategies to choose from. Learning just the language has been a major challenge for many organizations. There are subtle but important differences between key terms such as AI, Machine Learning, Deep Learning, and Semantic Computing. Understanding how data is ingested, analyzed, and returned to the end-user can have a major impact on expectations for accuracy and reliability, not necessarily affecting any investment required to shape an organization's data assets. to mention In order to choose efficiently and effectively between vendor products or to hire the right data science staf...

  WHAT IS CNN IN DEEP LEARNING Over the past few decades, Deep Learning has proved to be a very powerful tool because of its ability to handle large amounts of data. The interest in using hidden layers has transcended traditional techniques, particularly in pattern recognition. One of the most popular deep neural networks is the convolutional neural network. CNN Deep Learning Since the 1950s, in the early days of AI, researchers have struggled to create a system that can understand visual data. In later years, this field became known as computer vision. In 2012, computer vision took a big leap when a group of researchers from the University of Toronto developed an AI model that surpassed the best image recognition algorithms by a huge margin. The AI ​​system, which became known as AlexNet (named after its main creator, Alex Krzyzewski), won the 2012 ImageNet Computer Vision Contest with 85 percent accuracy. The runner-up scored a modest 74 percent in the test. At the heart of AlexN...

CURRENTLY AND IN THE FUTURE MACHINES WILL BECOME VERY smarter. Till now the contribution of machines in the industry is really appreciatable. So due to the huge industry in every sector, there is a lot of data is stored. This data was garbage until the AI comes. After the AI industry use their data to improve everything which on them they worked. Now lets us understand what is the role of deep learning with this data. So deep learning is an integral part of machine learning and AI. The role of ai and deep learning is to use the data for a better result in the industry. Yes AI, ML, and deep learning are programmed to understand the data insights, based on that they indicate what should be the best next step to do.  Deep learning: Deep learning is a subset of Machine learning & AI. deep learning is specially designed to solve the problem. Deep learning is mimicking the human brain’s neocortex. Roughly speaking machine learning is a process to understand human behavior or objects ...

  Welcome again with a new blog post related to AI & machine learning. Today we are going to discuss a part of machine learning which we all know by the name of deep learning. Also in this post, we will know the best deep learning courses, Topics you have to cover in a deep learning course, what is deep learning?, which institutes provide the best deep learning courses, Deep learning online & offline providers where you can join, etc. Let's start. we also try to know that is there any free deep deep learning course is available or not. So before knowing the best & free deep learning courses, first let us know what is deep learning? deep learning is a very demanding skill in this era. Deep learning is part of machine learning & ai. In deep learning, you will learn LSTM, Adam, dropout, batchnorm, convolutional networks, He installation, and lot more things. We mention these things because you will have to learn these things in order to become a good deep learning engi...