Advanced, NLP, Supervised, Text, Unstructured Data Leave a comment

A Hands-On Introduction to Hugging Face’s AutoNLP 101

Hugging Face, founded in 2016, has revolutionized the way people approach Natural Language Processing in this day and age. Based in New York, Hugging Face started out as a chatbot company with its primary focus today on the Transformers library and helping the developers integrate NLP into their own products or services. Hugging Face has made it incredibly easy for an individual to train their data on huge state-of-the-art models only with a couple of lines. Solving NLP, one commit […]

Read more
Python

Build a Contact Book With Python, PyQt, and SQLite

Building projects is arguably one of the more approachable and effective ways of learning to program. Real projects require you to apply different and varied coding skills. They also encourage you to research topics that pop up as you’re solving problems in the development process. In this tutorial, you’ll create a contact book application with Python, PyQt, and SQLite. In this tutorial, you’ll learn how to: Create a graphical user interface (GUI) for your contact book application using Python and […]

Read more
python_tutorials
Python

How to Sort a Pandas DataFrame by Date

Introduction Pandas is an extremely popular data manipulation and analysis library. It’s the go-to tool for loading in and analyzing datasets for many. Correctly sorting data is a crucial element of many tasks regarding data analysis. In this tutorial, we’ll take a look at how to sort a Pandas DataFrame by date. Let’s start off with making a simple DataFrame with a few dates: import pandas as pd data = {‘Name’:[“John”, “Paul”, “Dhilan”, “Bob”, “Henry”], ‘Date of Birth’: [“01/06/86”, “05/10/77”, […]

Read more
Python

Django View Authorization: Restricting Access

Django provides tools for both authentication and authorization. Django view authorization is typically done with decorators. This course will show you how to use these view decorators to enforce authorized viewing of pages in your Django site. By the end of this course you’ll know how to: Use HttpRequest and HttpRequest.user objects Authenticate and authorize users Differentiate between regular, staff, and admin users Secure a view with the @login_required decorator Restrict a view to different roles with the @user_passes_test decorator […]

Read more
Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 70: Loss Masking instead of Data Filtering

This week, I will have a closer look at a recent pre-print introducing an alternative for parallel data filtering for machine translation training. The title of the pre-print is Gradient-guided Loss Masking for Neural Machine Translation and comes from CMU and Google. Training data cleanness is a surprisingly important factor for machine translation quality. A large part of the data that we use for training comes from crawling the Internet, so there is no quality guarantee. On the other hand, […]

Read more
python_tutorials
Python

Python: Check if Array/List Contains Element/Value

Introduction In this tutorial, we’ll take a look at how to check if a list contains an element or value in Python. We’ll use a list of strings, containing a few animals: animals = [‘Dog’, ‘Cat’, ‘Bird’, ‘Fish’] Check if List Contains Element With for Loop A simple and rudimentary method to check if a list contains an element is looping through it, and checking if the item we’re on matches the one we’re looking for. Let’s use a for […]

Read more
Machine Learning

Simple Genetic Algorithm From Scratch in Python

The genetic algorithm is a stochastic global optimization algorithm. It may be one of the most popular and widely known biologically inspired algorithms, along with artificial neural networks. The algorithm is a type of evolutionary algorithm and performs an optimization procedure inspired by the biological theory of evolution by means of natural selection with a binary representation and simple operators based on genetic recombination and genetic mutations. In this tutorial, you will discover the genetic algorithm optimization algorithm. After completing […]

Read more
Machine Learning

How to Update Neural Network Models With More Data

Deep learning neural network models used for predictive modeling may need to be updated. This may be because the data has changed since the model was developed and deployed, or it may be the case that additional labeled data has been made available since the model was developed and it is expected that the additional data will improve the performance of the model. It is important to experiment and evaluate with a range of different approaches when updating neural network […]

Read more
Beginner, Career, Computer Vision, Machine Learning, NLP Leave a comment

Quick Guide to AI and ML Universe for Business Leaders

This article was published as a part of the Data Science Blogathon. Introduction Ever since the advent of Globalisation, the environment in which a business operates is constantly changing. An important component of the business environment is the technological environment. Technology, also, as we all know is constantly changing, updating with new trends coming in every day. Thus, it becomes imperative for businesses to understand and keep up with the technology trends to survive in the market. One thing that […]

Read more
INMT, NLP

Issue #120 – Interactive Neural Machine Translation

04 Mar21 Issue #120 – Interactive Neural Machine Translation Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Despite the great quality improvements achieved recently by machine translation (MT) technology thanks to neural systems, it is still not error-free. To achieve a controlled quality, the output of a machine translation engine must be corrected by a human agent in a post-editing phase. Today we take a look at a paper from Peris et al. (2017) (publisher version, non-final […]

Read more
1 … 686 687 688 689 690 … 927