Azure has capabilities to processes data with data analytics, machine learning, and Artificial Intelligence. Space organizations struggle with the ability to manage massive amounts of data effectively — which luckily, is a problem solved by cloud technology a long time ago. Other than managing huge amounts of data, organizations also struggle with remote location connections, … [Read more...] about Microsoft Azure Orbital
Machine Learning
Will Open Banking Make Debt Collection Agencies Go Extinct?
If your local supermarket increased prices by 300%, how would you feel? I’m guessing you would not be pleased. I’m also guessing you’d choose to do your shopping elsewhere. But what if the law left it up to your local supermarket to decide if you could switch? Sounds crazy, right? Well, that’s exactly how debt collection agency rules are set up. If you owe money to one agency, … [Read more...] about Will Open Banking Make Debt Collection Agencies Go Extinct?
Yann LeCun Hails MSA Transformer’s ‘Huge Progress’ in Protein Contact Prediction
A transformer-based model that achieves state-of-the-art performance on unsupervised protein structure learning is making waves, with esteemed AI researcher Yann LeCun and others in the machine learning and biology communities celebrating the new study.The development of protein biomolecules, or protein engineering, requires a holistic understanding of protein structure. As … [Read more...] about Yann LeCun Hails MSA Transformer’s ‘Huge Progress’ in Protein Contact Prediction
An explanation of K-means and two of its offshoots
K-means clustering is a widely used technique in Machine Learning used as a form of vector quantization to divide a vector space of points into k clusters. It is an extremely useful unsupervised method of clustering multiple points into a collection of centroids, which can later be used for many downstream tasks with deep learning. However, sometimes vanilla k-means is too … [Read more...] about An explanation of K-means and two of its offshoots
A 5-step Process to Successfully Land Your First Programming Job.
Transitioning to a new field like computer programming can be Intimidating. Indeed, landing your first job is the most difficult part. You may be wondering:How should I find jobs? What skills do I need? What projects should I build? How to write resumes? How to prepare for interviews? What should I do if I keep getting rejected?I want to share a 5-step process that will help … [Read more...] about A 5-step Process to Successfully Land Your First Programming Job.
Feature Engineering for Machine Learning (STEM to SHTEM submission)
As a Kaggler-for-fun, one of my favorite topics in the machine learning process is feature engineering. The process of generating, altering, and pruning data amalgamates the practical purpose of increasing model predictability and the exciting sensation of investigation. While the implementation of models is often similar in nature with the help of libraries, feature … [Read more...] about Feature Engineering for Machine Learning (STEM to SHTEM submission)
SMS Spam Classifier (Natural Language Processing)
4.1 Train Test SplitUsing the scikit-learn library, we can split the data into train and test. Here I have split the data into 77% (training data) and 33% (testing data)4.2 Dealing with Text (Natural Language data) dataNow it’s time to talk about how to deal with the text data. We can’t directly pass the text to the machine learning model as the machine only understands data in … [Read more...] about SMS Spam Classifier (Natural Language Processing)
Creating a perceptron network: from zero to hero
Preface noteThis story is part of a series I am creating about neural networks and it is the second part of a chapter dedicated to the perceptron network (you can read part 1 here). In this article I am going to apply all the concepts explained in my last article and implement a perceptron network in Python.Perceptron in a nutshellWe have seen in my previous articles that the … [Read more...] about Creating a perceptron network: from zero to hero
Build a basic text search application from python with Vespa
Introducing pyvespa simplified API. Build Vespa application from python with few lines of code.This post will introduce you to the simplified pyvespa API that allows us to build a basic text search application from scratch with just a few code lines from python. Follow-up posts will add layers of complexity by incrementally building on top of the basic app described here.Photo … [Read more...] about Build a basic text search application from python with Vespa
AI Product Manager
I recently completed the Artificial Intelligence Product Manager Nanodegree Program on Udacity and I’d like to share a summary of everything I learned with you. This also includes bits from my experience as a technical product manager.This all a huge dump from my mind, written from the first stroke to last on my keyboard so kindly excuse any details I may miss or depths I … [Read more...] about AI Product Manager