As I just mentioned, we calculate the (cosine of the) angle between these dots (encodings), to compare how semantically equal the sentences are. Since each encoding already has length 1, we only need to calculate the internal product. The internal product calculates the cosine of the angle between the red and the blue dot, resulting … Read more How we Created an Open-Source COVID-19 Chatbot

Analyzing which function seems to fit Photo by Steven Wright on Unsplash To better understand the intents and purposes of activation functions, let us analyze an equivalent model within ourselves — neurons ( the inspiration for neural networks in the first place). A biological neural network simply consists of a cell body, dendrites (inputs from … Read more A simple guide to knowing your neural network and activation.

Are you not able to load your NumPy data into memory?Does your model have to wait for data to be loaded after each epoch?Is your Keras DataGenerator slow? TensorFlow tf.data API allows building complex input pipelines. It easily handles a large amount of data and can read different formats of data while allowing complex data … Read more tf.data: Creating data input pipelines

Medical data is a fundamental requirement for new deep learning applications in medicine. Photo by Pixabay from Pexels. In the age of deep learning, data became an important resource to build powerful smart systems. In several fields, we already see that the amount of data that is required to build competitive systems is so large … Read more Will we ever solve the Shortage of Data in Medical Applications?

COVID-19 questions — a use case for improving sentence fragment search Figure 1. Illustrates embeddings driven fragment search used to answer specific questions (left panel) as well broader questions(right panel). The highlighted text fragments in yellow are document matches to search input obtained using BERT embeddings. The right panel is a sample of animals with … Read more Document search with fragment embeddings

From giphy.com (above) data scientists image in my head (below) me trying to be one in my good days Not because you must but because it makes your life easier When I started to learn data science alone there are so many things that I was asked to learn. I started with Python coding and … Read more Small motivation and easy start to learn SQL using Pandas and pandasql

Leveraging ethical AI and human-centric product design to treat the chronic disease of the digital economy Photo by Elijah O’Donnell on Unsplash Intertwined with the rapidly unfolding Coronavirus epidemic is an insidious infodemic which may prove no less deadly. In February 2020, the director-general of the World Health Organization, Tedros Adhanom Ghebreyesus, made first coined … Read more What about Flattening the Infodemic Curve?

Photo by Kevin Ku on Unsplash Time management is the process of delegating a defined amount of time to a specific task to achieve a defined measurement of success. A by-product of successful time management is efficient task completion and an increase in productivity. Although primarily an ML Engineer is expected to implement machine learning … Read more 5 Soft Skills You Need As A Machine Learning Engineer (And Why)

Network analysis containing feature reduction techniques, similarity network inference, and community detection with the Neo4j Graph Data Science library While I was waiting for my sourdough to rise, I thought, the best way to spend my time is to perform a network analysis with the Neo4j Graph data science library. Well, maybe also try to … Read more Community detection of the countries of the world with Neo4j Graph Data Science

Is your Distribution’s assumption correct? Let’s find it out. Photo by Luke Cheeser on Unsplash Every day we come across a variety of Data like Sensor Data, Sales Data, Customer Data, Traffic Data, etc. Further, depending on the use case, we do a variety of processing and try out several algorithms on it. Have you … Read more Identify your Data’s Distribution

If things go wrong with an AI project, the best case is usually wasted investment or missed opportunity. For example, failing to keep up with competitors. In worse cases, AI may inflict damage to some aspect of your business. Casualties can include sales growth, customer satisfaction, brand or operational efficiency. Business members of the AI … Read more 5 AI Pitfalls for Business & How to Avoid Them

Let’s build a simple serverless workflow using AWS services! I found a cool website (https://covid19api.com/) where we can easily access COVID19 data using free API. This gave me an idea to create simple function to grab the data using AWS Lambda and save it to S3. The script will be executed daily automatically using CloudWatch. … Read more How to use AWS Lambda and CloudWatch for beginners

Good day reader,I hope everyone is staying safe and washing their hands. It’s really during times like these where mental and physical health is extremely important to keep us going. As I mentioned in my previous article,data science does not crash with the economy.The data industry is still in demand, some would even argue it … Read more How to Create a Data Science Portfolio — by a Data Scientist

Editor’s note: The Towards Data Science podcast’s “Climbing the Data Science Ladder” series is hosted by Jeremie Harris. Jeremie helps run a data science mentorship startup called SharpestMinds. You can listen to the podcast below: Data science exists at the intersection of a number of genuinely technical topics, from statistics to programming to machine learning. … Read more Building a Career in Data Science with Emily Robinson

9 ways machine learning helps us fight the viral pandemic Viral pandemics are a serious threat. COVID-19 is not the first, and it won’t be the last. But, like never before, we are collecting and sharing what we learn about the virus. Hundreds of research teams around the world are combining their efforts to collect … Read more Fight COVID-19 with machine learning

Supercharge your data science learning journey I just finished Ultralearning by Scott Young, and I thought that the concepts in this book could help many people who are looking to learn data science. Scott used this approach to learn the entire MIT undergrad computer science coursework in a single year (it usually takes four) and … Read more How to ULTRALEARN Data Science

Hey Folks! Let me tell you the reason why I am writing an article on Supervised vs Unsupervised Learning. Photo by Sean Lee on Unsplash During my first internship, I was assigned the position of a Junior Coach at an E-learning platform. And while solving the doubts of Machine Learning I came across the fact … Read more Supervised v/s Unsupervised

Photo by Dan Freeman on Unsplash So in this tutorial, we’ll be making a heatmap of the most dangerous countries to drive in, as measured by the number of traffic deaths per 100,000 residents. We’ll use R and ggplot2 to visualize our results. Is It Really That Dangerous To Drive in Thailand? It’s often said … Read more Tutorial: ggplot2 Heatmaps and Traffic Deaths in Thailand

Community finding algorithms in real networks Zachary’s karate club network with 2 communities identified. Due to the size of real networks, it is sometimes unfeasible to use brute-force algorithms to define communities. Algorithms used to handle these problems, in the best-case scenario, run in polynomial time. Although, most of the times, it is necessary to … Read more Algorithmic Complexity

A step towards making ML research open and accessible Photo credit: geralt via Pixabay The NeurIPS (Neural Information Processing Systems) 2019 conference marked the third year of their annual reproducibility challenge and the first time with a reproducibility chair in their program committee. So, what is reproducibility in machine learning? Reproducibility is the ability to … Read more Reproducible Machine Learning

Looping over all States I wanted to construct a loop that would allow me to iterate over all states and concatenate all the results into one master dataframe. I started by creating a ‘master’ dataframe upon which I could append the other states, versus creating a blank data frame to ensure the column order would … Read more Scraping US Census Data via CenPy

The big section. Operators We can use all the equality operators you’d expect in a where clause: =, <>, !=, <, <=, >=, > . Find all records where the name is exactly “Liam”. select * from users where first_name = ‘Liam’ Find all records where the name is not “Liam”. select * from users … Read more SQL Query Cheatsheet for Postgres

Photo by Fabien Bazanegue on Unsplash The world just changed. For anyone in Tech, that’s a problem. The tech industry leads the world through innovation, and innovation can only happen when you’re able to predict demand and develop the solutions that meet it. That suddenly got a lot harder to do. It’s not easy to … Read more After Covid, AI will Pivot