Research Automatic Text Summarization: Overview and Challenges The amount of information that we consume is growing every day. As a consequence, we need mechanisms to compress this growing amount of information. Text summarization is a tool for compressing written text and has been used for ages. At this moment, the amount of information is growing exponentially as
Data Annotation Active Learning: An Introduction What is active learning? How can it help you to speed up your model development? In this blog post, we will see what Active Learning is, how it can help you and how you can implement Active Learning in pseudo code. But first things first, what is Active Learning? What
Visualizations Interactive Plots using Plotly Express: Line Plot and 3D Scatter Plot This blog series is a beginners’ tutorial on how you can make interactive plots in a Jupyter notebook using Plotly Express. In this first blog post on this topic, we will go through the steps needed for creating a basic line Python plot and a 3D scatter plot. Basic line
Productivity To-Do Lists or Kanban: Which Planning Tool works Better? In this blog post, you will find a comparison of the planning tools Trello and Todoist. After using both tools for over a year, I finally selected one of the tools for my own workflow and I will show you the reasons why I switched from Todoist to Trello. Introduction
Mathematics A Tutorial on Multi-Armed Bandits: To Explore or Exploit? The Multi-Armed Bandit problem is a classical Reinforcement Learning that shows the exploration-exploitation trade-off. In this tutorial, we will look at the problem of advertorial design and we will answer the following question: what advertorials will lead to the highest gains? Suppose we have an advertorial with a few parameters:
Machine Learning Detecting Pedestrians using PyTorch – A Helpful Guide In this blog post, you will learn how to implement a Pedestrian Detection algorithm using PyTorch. Computer vision is a field of computer science that applies artificial intelligence models to understand, reason with as well as synthesize visual information. This visual information is usually in the form of a two-dimensional
Natural Language Processing Finetune BERT on Google Colab: A Simple Tutorial In this blog post, you will learn how you can finetune BERT on Google Colab and use the trained model for your NLP task. You will also learn how you can observe the performance of the model in the training phase. Why BERT and Google Colab? BERT is a language
Python Simplify your PyTorch model using PyTorch Lightning Code for machine learning can get repetitive. In this blog post, you will learn to combat code repetition by using PyTorch Lightning. Some code of machine learning can get highly repetitive. Think for example of the times you had to write a train loop, logging the evaluation results. Also loading
Career A Data Scientist’s Guide to an Efficient Project Lifecycle It is often seen that projects overshoot their normal completion data by at least three times most probably owing to shifting goals, inefficient approaches towards data collection and exploring various solution paths among others. A closer scrutiny often reveals that the delay was avoidable had there been a more disciplined
Mathematics Proof that 1/7 is a repeated decimal This blog post serves as an exercise and solution to the following question: In plain English: is the fraction a repeated decimal (0.142857142857142857…)? Recurring pattern How can we tackle such a problem? First note that we have to deal with a recurring pattern: a pattern that refers to itself.
Python Scale out your Pandas DataFrame operations using Dask In Pandas, one can easily apply operations on all the data using the apply method. However, this method is quite slow and is not useful when scaling up your methods. Is there a way to speed up these operations? And if so, how? Yes, there is! This blog post will
Python Should you Start Learning Python in 2018 (Guide) Starting to learn programming most of the times is overwhelming because of the number of programming languages available to learn. This causes most of us to search for generic terms like “what is the easiest programming language to learn”. More than 90% of the websites on the internet claims that
Career Mathematics in India: A Complete Guide to Make Your Career in this Field! Mathematics is the study of measurement, properties and relationships of quantities and sets, using numbers and symbols. In other words, we can say that Mathematics is the study of numbers & their calculations. It is used by all the individuals in their everyday life. It is essential in many fields, including
Big Data Decoding Data Pipelines for Startups In this era of Big Data, an issue that has been escalating off- late relates to data fragmentation across organisations. This makes the process of analytics and reporting to become even more complex. This is where data pipeline tools come into play. To define it, a data pipeline denotes a
Information Retrieval Opinion mining on Dutch news articles In this blog post, I will learn you how you can mine opinions about companies from news articles. I will share how I scraped thousands of news articles in a few minutes and how one could classify the opinion expressed in the titles of the news articles. This information could
Software Convert a WordPress site to a static website hosted on AWS S3 In this tutorial, I will show you how you can convert your WordPress website to a static website and how you can host it on AWS S3. Step 1: Generate static files using Scrapy I created a GitHub repository which helps you to convert your local running website to static
Software Making a Serverless Website In this blog post you will learn how you can turn your website into a serverless website. Why Serverless? There are several reason why your should convert your website into a serverless website. On one hand, it makes you less vulnerable for attacks. An attacker has less resources and opportunities
Security My Approach to Natas Level 11 (a Web Security Game) Recently I came across the concept of CTF (Capture The Flag) which are security competitions and I really enjoy these kinds of the competitions. One of my favorites is OverTheWire [http://overthewire.org/wargames/]. They provide different kinds of games and one of these is Natas, in which you need
Neural Networks Hands-on: Creating Neural Networks using Chainer This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] ), but it is focused on creating a
Crypto The Lessons I Learned in Cryptoland There are many cryptocurrencies which you can buy. Where should you even start? In this article, I will share the lessons I have learned over the past years with you. I think it is important to share these insights with you, since there are a lot of people out in
Neural Networks Create a Character-based Seq2Seq model using Python and Tensorflow In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for me to learn how to
Visualizations Hitchhiker’s guide to Used Car Prices Estimation What is your car’s worth? This tutorial will guide you through the steps for estimating it’s value by using Machine Learning techniques. I will use my Peugeot 106 as an example! Why Machine Learning at all? I discussed the price of my over 10-year-old vehicle with a family
R R versus Python: A comparison In this blogpost, I will share my first experience in using R. I am using Python for quite a while now and I am open minded for other technologies. What is R? R is an open source programming language and software environment for statistical computing and graphics that is supported
Python A Neural Network for predicting Restaurant Reservations In this tutorial, you will learn how to build a neural network model and how to visualize the results in Python.
Machine Learning House Price Prediction using a Random Forest Classifier In this blog post, I will use machine learning and Python for predicting house prices. I will use a Random Forest Classifier (in fact Random Forest regression). In the end, I will demonstrate my Random Forest Python algorithm! There is no law except the law that there is no law.
