Unstructured data is projected to account for approximately 80% of the data that enterprises will process on a daily basis …
Unstructured data provides equal risk and opportunities for businesses Read More »
This post is associated with TensorFlow tensors. Tensor are multi-dimensional arrays that are used in TensorFlow. Here, I am going …
Tensors: An Example-based Introduction to the heart of TensorFlow Read More »
You might have heard of many different Deep Learning frameworks such as TensorFlow and PyTorch. They do everything for Deep …
Trax: The New Google Brain Tool For Deep Learning Read More »
You probably heard about TFRecord, as the TensorFlow preferred file format. TensorFlow by Google is everywhere these days. You just …
TFRecords: Learn to Use TensorFlow # 1 Helpful File Format Read More »
You may hear data augmentation everywhere in Machine Learning. Deep Learning is a great machine learning approach, using neural networks, …
Top-5 Painless Data Augmentation Techniques With TensorFlow Read More »
You might have heard a lot about creating a virtual environment as a recommended approach for installing a package. Python …
Data exploration is one of the crucial steps of working with data. To perform more effective data exploration, we need …
Data Exploration Routine With Pandas: The Effortless Approach Read More »
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 »
