Leung

Too Long; Didn't ReadI recently spoke with Nathan Leung, Co-Founder and Host of Cryptonauts, an educational YouTube channel providing quick and easily digestible crypto information. Prior to Cryptonauts, Nathan focused on the production side of Hollywood, working in film, TV, and on commercials for companies like Sprite, Pizza Hut, Foot Locker, and more. Too Long; Didn't ReadI recently spoke with Nathan Leung, Co-Founder and Host of Cryptonauts, an educational YouTube channel providing quick and easily digestible…

Build a keyword analysis Python application comprising a frontend user interface and backend pipelinePhoto by Marylou Fortier on UnsplashAs the amount of textual data from sources like social media, customer reviews, and online platforms grows exponentially, we must be able to make sense of this unstructured data.Keyword extraction and analysis are powerful natural language processing (NLP) techniques that enable us to achieve that.Keyword extraction involves automatically identifying and extracting the most relevant…

Clearly-explained step-by-step tutorial for implementing transfer learning in image classificationPhoto by Jason Yuen on UnsplashOften we do not have access to a wealth of labeled data or computing power to build image classification deep learning models from scratch.Fortunately, transfer learning empowers us to develop robust image classifiers for our specific classification tasks, even if we have limited resources.In this easy-to-follow walkthrough, we will learn how to leverage pre-trained models as part of transfer…

Easily access MySQL databases and execute SQL queries in PythonPhoto by Maikel Oosterink on UnsplashSQL and Python are indispensable tools for data practitioners to work effectively with data.A common use case would be the initial retrieval of data from relational databases using SQL queries, followed by subsequent manipulation and analysis of the data in Python with libraries such as pandas.But did you know that these two seemingly isolated tasks can be combined into a single Python script to easily deliver the same…

(Optional Primer)Before we begin, it is good to understand the types of missing data and the various imputation techniques available. I have placed the primer in a separate article to keep this article brief. If you are already familiar with these concepts, feel free to skip this part.Developed at Amazon Science, DataWig is a software package that applies missing value imputation to tables containing heterogeneous data types, i.e., numerical, categorical, and unstructured text.The goal is to build a robust and scalable…

The term ‘annealing’ comes from the field of materials science. It is a process where materials like metal or glass are heated and held at a hot temperature, before being cooled slowly in a controlled manner.The purpose of annealing is to introduce favourable physical properties (e.g., ductility) into the material for smoother downstream manufacturing.The heat causes random rearrangement of atoms in the material, leading to the removal of the weak connections and residual stress within.The subsequent cooling settles the…

An easy-to-follow guide to containerizing multi-service ML applications with DockerPhoto by Philippe Oursel on UnsplashGiven Docker’s impressive capabilities of building, shipping, and running machine learning (ML) applications reliably, it is no surprise that its adoption has exploded and continues to surge within the data science field.This article explains how to utilize Docker to containerize a multi-service ML application built with H2O AutoML, MLflow, FastAPI, and Streamlit.Photo by Rubaitul Azad on UnsplashDocker…

MLOPS SPECIALIZATION SERIESFinal insights (with lecture notes) from the Machine Learning Engineering for Production (MLOps) Course by DeepLearning.AI & Andrew NgPhoto by Built Robotics on UnsplashRealizing the potential of machine learning (ML) in the real world goes beyond model training. By leveraging the best practices of MLOps, teams can better operationalize and manage the end-to-end lifecycles of ML models in a sustainable manner.In this final article of the 4-part MLOps Specialization series, I summarize the…