October 31, 2022 NLP

The Business Case For AI: A Review by Customer Contact Week Conference & Magazine

“Stop using AI.” This is how Dr. Kavita Ganesan, an AI expert since 2005, begins her book The Business Case for AI. In a refreshingly direct tone, Ganesan goes on to deliver the news that, yes, you probably need to rethink your use of AI and, no, it does not need to be this difficult or this expensive. While AI is a necessary tool for businesses to remain competitive, many find themselves worried about the investment, and the consequences– what […]

October 31, 2022 NLP

What are Precision & Recall in Machine Learning?

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To see how well it’s doing, you want to compare it with human-generated labels, which we will call the actual labels. To demonstrate this, the table […]

October 30, 2022 Uncategorized Leave a comment

Complete Tutorial for torch.sum() to Sum Tensor Elements in PyTorch

Introduction In this tutorial, we will do an in-depth understanding of how to use torch.sum() function to sum the elements in PyTorch tensor. We will first understand its syntax and then cover its functionalities with various examples and illustrations to make it easy for beginners. What is torch.sum() function in PyTorch The torch sum() function is used to sum up the elements inside the tensor in PyTorch along a given dimension or axis. On the surface, this may look like […]

October 30, 2022 Uncategorized Leave a comment

How to use torch.add() to Add Tensors in PyTorch

First Tensor: tensor([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11]], [[12, 13, 14], [15, 16, 17], [18, 19, 20], [21, 22, 23]]]) Second Tensor: tensor([[[ 4, 5, 6], [ 7, 8, 9], [10, 11, 12], [13, 14, 15]], [[16, 17, 18], [19, 20, 21], [22, 23, 24], [25, 26, 27]]]) Sum of Tensor1 and Tensor2: tensor([[[ 4, 6, 8], [10, 12, 14], [16, 18, 20], [22, 24, 26]], [[28, 30, 32], [34, […]

October 30, 2022 Uncategorized Leave a comment

How to use torch.sub() to Subtract Tensors in PyTorch

First Tensor: tensor([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11]], [[12, 13, 14], [15, 16, 17], [18, 19, 20], [21, 22, 23]]]) Second Tensor: tensor([[[ 4, 5, 6], [ 7, 8, 9], [10, 11, 12], [13, 14, 15]], [[16, 17, 18], [19, 20, 21], [22, 23, 24], [25, 26, 27]]]) Tensor1 minus Tensor2: tensor([[[-4, -4, -4], [-4, -4, -4], [-4, -4, -4], [-4, -4, -4]], [[-4, -4, -4], [-4, -4, -4], [-4, […]

October 30, 2022 Python

A Beginner’s Guide to Pandas Library of Python

Part 4: Exploring the hasnans, dtype and iat attributes of Series data structure.

October 30, 2022 Python

My “Aha Moment” About Python

I’ve been programming for about 20 years now, and my “aha moment” with python came to me last night. It was a pretty simple one — I started with Python 2 because that’s what we’re using at work (and it was free). But after some trial and error, I figured out how to get started quickly with Python 3.

October 30, 2022 Python

Hidden Data Science Gem: Rainbow Method for Label Encoding

Created together with Dmytro Karabash

October 30, 2022 Natural Language Processing, Python

End-To-End NLP Pipeline

Let’s discuss first about Natural Language processing. it is a subset of linguistics, computer science, and artificial Intelligence. NLP is a set of steps to build an End-to-End NLP software.

October 30, 2022 Python

The only cheat sheet you need

You want to sort a list in python or any other programming language and suppose you don’t know how to do it, using the cheat.sh, you just need to give keywords to the program, and it will automatically give you the best code to sort the list concerning minimum time complexity i.e., Big-O. If you do not want to install cheat.sh for offline usage, you can use the live link, where you can search your queries. For Windows users, if […]

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