PySyft: A Great Toolkit for Private Deep Learning
In this post, we are going to talk about PySyft, a tool to facilitate Private Deep Learning. What is private …
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Top 5 Data Science Skills That You Can Never Avoid
You may frequently ask yourself what are the necessary data science skills that help me to stand out? Just take …
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Simple Linear Regression Using TensorFlow and Keras
In this tutorial, we will introduce how to train and evaluate a Linear Regression model using TensorFlow. Linear Regression is of …
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Why Deep Learning is Usually The Number 1 Trusted Choice?
Nowadays, Deep Learning is everywhere. Instead of traditional Machine Learning, many more stakeholders prefer Deep Learning not just because it …
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Essential Definitions in Probability Theory that You Need to Know
In this post, we are going to walk through the Essential Definitions in Probability Theory. Understanding these concepts is critical …
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Fascinating Neural Networks: An Ultra Short Introduction
You hear the neural network buzzword a lot if you were searching in the Machine Learning area. Neural networks are …
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Probability Theory and its Huge Importance in Machine Learning
Probability theory is the branch of mathematics involved with probability. The notion of probability is used to measure the level …
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Federated Learning: A Remarkable Privacy-Preserving Approach
With the advent of big data and computational power, stakeholders are becoming more and more interested in leverage the power …
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Singular Value Decomposition (SVD)
This tutorial is dedicated to explaining the concept of Singular Value Decomposition (SVD) and its applications. You will learn how …
Matrix Eigendecomposition, its Importance, and the Applications
This tutorial is dedicated to explaining the concept of matrix decomposition, its definition, and the process. You will learn how …
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