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...

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,...

14 Great Articles To Read About TensorFlow

First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For...

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...

Tensors: The building block of TensorFlow

TensorFlow uses tensor to define the framework and processing data. A tensor conceptualized multidimensions vectors and matrices. Mathematically, a tensor is a geometric object...

List Of Facebook Groups To Join For Data Science

Here is the list of Facebook groups to join for Data Science learning 1.International Data Science Study Group...

Introduction to Boosting Machine Learning Algorithm: AdaBoost

AdaBoost algorithm Boosting is a supervised machine learning algorithm for primarily handling data which have outlier and variance....

5 Must Excel Add Ins​​ For Data Science Practice

Below is the list of five important Data Science practice add-ins used in Microsoft Excel. 1. Power Pivot: Power Pivot...