In this post, I am going to briefly describe what is Differential Privacy and what it promises. You may keep …
Differential Privacy: An Introduction to The New Promise of Data Privacy Read More »
This tutorial aims to show you a very easy and straightforward approach to import a Kaggle dataset into Google Colaboratory …
The Easy Approach to Access a Kaggle Dataset in Google Colab Read More »
In this post, we are going to talk about PySyft, a tool to facilitate Private Deep Learning. What is private …
PySyft: A Great Toolkit for Private Deep Learning Read More »
You may frequently ask yourself what are the necessary data science skills that help me to stand out? Just take …
Top 5 Data Science Skills That You Can Never Avoid Read More »
In this tutorial, we will introduce how to train and evaluate a Linear Regression model using TensorFlow. Linear Regression is of …
Simple Linear Regression Using TensorFlow and Keras Read More »
Nowadays, Deep Learning is everywhere. Instead of traditional Machine Learning, many more stakeholders prefer Deep Learning not just because it …
Why Deep Learning is Usually The Number 1 Trusted Choice? Read More »
In this post, we are going to walk through the Essential Definitions in Probability Theory. Understanding these concepts is critical …
Essential Definitions in Probability Theory that You Need to Know Read More »
You hear the neural network buzzword a lot if you were searching in the Machine Learning area. Neural networks are …
Fascinating Neural Networks: An Ultra Short Introduction Read More »
Probability theory is the branch of mathematics involved with probability. The notion of probability is used to measure the level …
Probability Theory and its Huge Importance in Machine Learning Read More »
