Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms. Introduction to AI vs Data...

Computer vision uses Artificial Intelligence (AI) to train computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see”. Introduction to Computer Vision Where is Computer Vision...

It is an open source artificial intelligence library, using data flow graphs to build models. It allows developers to create large-scale neural networks with many layers. TensorFlow is mainly used for: Classification, Perception, Understanding, Discovering, Prediction and Creation. Introduction to TensorFlow TensorFlow Example Characteristics...

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. Introduction of Image processing Steps of image processing Purpose of Image processing ...

In today's difficult world, we tend to see that there are three best deep learning frameworks; However, there is still some confusion as to which one to use once involving Tensorflow / Keras / Pytorch. So let's take a look at each of these structures from the following factors and see which one corresponds to your wishes and which is in the...

Artificial intelligence (AI), often known as machine intelligence, is an area of computer science that focuses on developing and managing technology that can learn to make decisions and carry out actions independently on behalf of humans. Intro of Artificial Intelligence Benefits of Computing Applications Why Research AI Safety? How is AI...

Neural networks are parallel computing devices, which are basically an attempt to make a computer model of the brain. The main objective is to develop a system to perform various computational tasks faster than the traditional systems. This tutorial covers the basic concept and terminologies involved in Artificial Neural Network. Sections of this...

Deep Learning is Large Neural Networks Andrew Ng from Coursera and Chief Scientist at Baidu Research formally founded Google Brain that eventually resulted in the productization of deep learning technologies across a large number of Google services.He has spoken and written a lot about what deep learning is and is a good place to start.In...

The world has seen an unprecedented challenge and is battling this invisible enemy with all their might. The Novel coronavirus spread has left the global economies holding on to strands, businesses impacted and most people locked down. But while the physical world has come to a drastic halt or slow-down, the digital world is blooming. And in...

Artificial Intelligence technology has been gaining fame in recent years. In today’s world, AI capabilities are in great demand across industries gaming, robotics, face recognition software, weaponry, speech recognition, vision recognition, expert systems, and search engines. If you’re estimating career options in this emerging field, look at...