How reinforcement learning can help in solving real-world problems?
Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback...
Neural Networks: Advantages and Applications
A human brain is not capable of solving complex data and cannot extract information from compound structures. To overcome this lack of...
Harnessing curiosity in Reinforcement Learning
Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from...
Virtual Reality Offices: A Solution for An Overpopulating Generation
It's no secret that a traditional office can be counterproductive in many ways. More often than not, a desk loaded with multiple...
How Artificial intelligence can usher a new wave of Identity Verification services?
Artificial Intelligence is considered the next big thing when it comes to tech products and trends that will lead humanity to the...
Regression using Tensorflow and multiple distinctive attributes
As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into...
Google Maps and AI: What’s The Future of Google’s Flagship Application?
When it comes to technological development in 2019, mobile comes first. Probably due to the fact that mobile traffic as a whole...
Regression using Tensorflow and partition of data for robust validation.
Again in the tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training, Testing,...
Regression using Tensorflow and Gradient descent optimizer
Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for...
Artificial Intelligence – A Bitter-Sweet Symphony in Modelling
We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were...