List of Data Science Books to Read

Here is the list of recommended data science books for reading: Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and...

List of Data Science and Machine Learning GitHub Repositories to Try in 2019

Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with...

Regression with Keras (Deep Learning with Keras – Part 3)

Regression After two introductory tutorials, its time to build our first neural network! The network we are building solves...

21 Free Data Sets/ Projects for Data Science Beginners

We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails: 

AI and Data Science Tools on Amazon Web Services

As the leading cloud provider, Amazon Web Services offers numerous tools for a variety of applications. The sheer number of offerings can...

Classify Handwritten-Digits With Tensorflow

One of the capabilities of deep learning is image recognition, The “hello world” of object recognition for machine learning and deep learning...

The Benefits of Implementing Data Science in Digital Marketing

Digital marketing strategies would hardly exist without data science. It gives you insight into your customers’ preferences and needs. The information you...

Deep Learning with Keras – Part 7: Recurrent Neural Networks

Intro In this part of the series, we will introduce Recurrent Neural Networks aka RNNs that made a major...

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.

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...
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