January 29, 2021 Python

How to Format Number as Currency String in Python

Introduction Having to manually format a number as a currency string can be a tedious process. You may have just a few lines of modifications to make, however, when we need to do a fair bit of conversions, it becomes very tedious. The first step to automating these kind of tasks will require a function. In this article, we’ll be going over a few methods you can use to format numbers as currency strings in Python. Methods for Formatting Numbers […]

January 29, 2021 Advanced, NLP, Project, Python, Resource, Text, Unstructured Data, Unsupervised, Use Cases Leave a comment

How to create your own Question and Answering API(Flask+Docker +BERT) using haystack framework

Introduction Note from the author: In this article, we will learn how to create your own Question and Answering(QA) API using python, flask, and haystack framework with docker. The haystack framework will provide the complete QA features which are highly scalable and customizable. In this article Medium Rules, the text will be used as the target document and fine-tuning the model as well. Basic Knowledge Required: Elasticsearch & Docker This article contains the working code which can be directly build […]

January 28, 2021 low-resource neural machine translation, NLP

Issue #115 – Revisiting Low-Resource Neural Machine Translation: A Case Study

28 Jan21 Issue #115 – Revisiting Low-Resource Neural Machine Translation: A Case Study Author: Akshai Ramesh, Machine Translation Scientist @ Iconic Introduction Although deep neural models produce state-of-the-art results in many translation tasks, they are found to underperform phrase-based statistical machine translation in resource poor conditions. The majority of research on low-resource neural machine translation (NMT) focuses on the exploitation of monolingual or parallel data involving other language pairs. There is notably less attention into the research of low-resource NMT […]

January 28, 2021 Machine Learning

How to Develop a Neural Net for Predicting Car Insurance Payout

Developing a neural network predictive model for a new dataset can be challenging. One approach is to first inspect the dataset and develop ideas for what models might work, then explore the learning dynamics of simple models on the dataset, then finally develop and tune a model for the dataset with a robust test harness. This process can be used to develop effective neural network models for classification and regression predictive modeling problems. In this tutorial, you will discover how […]

January 27, 2021 Quantum computing Leave a comment

Full stack ahead: Pioneering quantum hardware allows for controlling up to thousands of qubits at cryogenic temperatures

Quantum computing offers the promise of solutions to previously unsolvable problems, but in order to deliver on this promise, it will be necessary to preserve and manipulate information that is contained in the most delicate of resources: highly entangled quantum states. One thing that makes this so challenging is that quantum devices must be ensconced in an extreme environment in order to preserve quantum information, but signals must be sent to each qubit in order to manipulate this information—requiring, in […]

January 26, 2021 Python

Seaborn Box Plot – Tutorial and Examples

Introduction Seaborn is one of the most widely used data visualization libraries in Python, as an extension to Matplotlib. It offers a simple, intuitive, yet highly customizable API for data visualization. In this tutorial, we’ll take a look at how to plot a Box Plot in Seaborn. Box plots are used to visualize summary statistics of a dataset, displaying attributes of the distribution like the data’s range and distribution. Import Data We’ll need to select a dataset with continuous features […]

January 26, 2021 Python

Integrating MongoDB with Flask Using Flask-PyMongo

Introduction Building a web app almost always means dealing with data from a database. There are various databases to choose from, depending on your preference. In this article, we shall be taking a look at how to integrate one of the most popular NoSQL databases – MongoDB – with the Flask micro-framework. They are several Flask extensions for integrating MongoDB, here we’ll be using the Flask-PyMongo extension. We will also be working on a simple Todo-List API to explore the […]

January 26, 2021 Python

Matplotlib Box Plot – Tutorial and Examples

Introduction There are many data visualization libraries in Python, yet Matplotlib is the most popular library out of all of them. Matplotlib’s popularity is due to its reliability and utility – it’s able to create both simple and complex plots with little code. You can also customize the plots in a variety of ways. In this tutorial, we’ll cover how to plot Box Plots in Matplotlib. Box plots are used to visualize summary statistics of a dataset, displaying attributes of […]

January 25, 2021 Programming languages and software engineering Leave a comment

LAMBDA: The ultimate Excel worksheet function

Ever since it was released in the 1980s, Microsoft Excel has changed how people organize, analyze, and visualize their data, providing a basis for decision-making for the millions of people who use it each day. It’s also the world’s most widely used programming language. Excel formulas are written by an order of magnitude more users than all the C, C++, C#, Java, and Python programmers in the world combined. Despite its success, considered as a programming language Excel has fundamental […]

January 25, 2021 Machine Learning

How to Use Nelder-Mead Optimization in Python

The Nelder-Mead optimization algorithm is a widely used approach for non-differentiable objective functions. As such, it is generally referred to as a pattern search algorithm and is used as a local or global search procedure, challenging nonlinear and potentially noisy and multimodal function optimization problems. In this tutorial, you will discover the Nelder-Mead optimization algorithm. After completing this tutorial, you will know: The Nelder-Mead optimization algorithm is a type of pattern search that does not use function gradients. How to […]

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