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...

Computer Machine Learning Techniques Aid Citizen Science Projects in Data Processing

Computer-based machine learning is becoming a significant part of citizen science projects. If we compared the situation ten years ago, the data...
Artificial Intelligence Trends

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...

Can AI Ease Your Manager’s Burden?

Artificial intelligence is at the forefront of a massive business overhaul, taking over tasks, whole positions, and even replacing entire industries. Though...

How AI & Machine Learning Are Changing The Future Of Customer Service Forever

The pace of change cannot be determined, and that’s the reason why business executives are seen keeping a pulse on emerging trends...

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,...

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...

How Artificial Intelligence Is Helping Developers To Create Innovative Apps

The Artificial Intelligence (AI) revolution is taking the world by storm, producing new possibilities and giving every industry around the world a...

How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  “the most interesting idea in...

Principal component analysis (PCA) using R

Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...