Towards Data Science

And other things I wish I knew before I started my latest Data Science project Photo by Chris Ried on Unsplash I got started on a new data science project a few … Read more

For those using the pandas module, the first thing you would quickly come to realiee is there are often more ways than one way to do just about everything. The … Read more

Dec 19, 2018 If you are familiar with matrix and vectors then it would not take much time for you to understand what SVD is, however, if you are not … Read more

This is going to be a short, to-the-point article. First I’ll talk about the problems with AI right now, then the problems with understanding and applying AI in business scenarios, … Read more

In this article series on how to optimize portfolios, we have looked at the existence of market invariants, estimating distribution of returns using nonparametric and maximum likelihood. Now we discuss … Read more

Results which are “too good to be true” Can results ever be “too good to be true”? Well, for example you may be using transfer learning: you don’t have time to … Read more

Learn, Code and Tune…. Regression is an example of Continuous Classification of Data or data-points in feature-space. Francis Galton invented the usage of Regression Line in 1886 [1]. As the … Read more

1. Model Architecture Model Architecture (Top), Positive Samples (Green, Left Bottom), Negative Samples (Red, Right Bottom) Left Bottom: Positive Samples A label yk=1 is given for k-th positive sample. To be a … Read more

Self Supervised learning: generative approaches Intro In the previous post, we’ve discussed some self supervised learning articles, along with some attempts to strive towards the “holy grail”: exploiting the almost … Read more

Facial recognition algorithms have always fascinated me, and wanting to flex my newfound logistic regression skills on some data, I created a model based on a dataset I found called … Read more

Exploring our Activities Now that we have created our Scoring Measure, we can start exploring the data. Let’s start by comparing global regions’ activity rating with the average number of … Read more

Using the Librosa Python Library, KNN, and Random Forest to Classify Music In my previous blog post, Introduction to Music Recommendation and Machine Learning, I discussed the two methods for music … Read more

Introduction The ‘Data Science Strategic Guide — Get Smarter with Data Science’ is envisioned as a series of articles, which serve to be more of a strategic guide depicting essential challenges, pitfalls … Read more

Walkable neighborhoods are great for health, happiness and economic growth. Cities around the world that want to draw a talented young workforce increasingly focused on creating a good pedestrian experience. … Read more

Imagine this. You wake up and find a frightening mark on your skin so you go to the doctor’s office to get it checked up. They say it’s fine so … Read more

Introduction to Quick Thoughts In previous story, I shared skip-thoughts to compute a sentence embeddings. Today, we have another unsupervised learning approach to compute sentence embeddings which is Quick Thoughts. Logeswaran … Read more

Improving yield by removing bad quality material with image recognition Author: Partha Deka and Rohit Mittal Automation in Industrial manufacturing: Today’s increased level of automation in manufacturing also demands automation … Read more

Maybe so. Maybe not. I’ll level with you: I’m a PhD dropout. I’ve gotten a lot of mileage out of that title, by the way: it hints that I’ve done a … Read more

I. Background This project was built by Danny Vo, Troy Stidd, Patrick Zhu, Aaron Li, and Samuel Zhang. The code for our project can be found in this repo. For … Read more

In my last article, we looked at how to get meaningful insights from a huge collection of medical articles gathered from PubMed, a free archive of biomedical and life sciences … Read more

Characterising biological pathways from gene expression data Gene Set Variation analysis is a technique for characterising pathways or signature summaries from a gene expression dataset. GSVA builds on top of … Read more

How much data do we need to build this computer vision classifier? This is the data question. In my experience the data question comes up in almost every computer vision … Read more

How many times will you be forced to hear “Wonderful Christmastime”? 122 hours, 1,510 tracks. Only 80 original songs. Source: 106.7 LiteFM; 11/30/2018–12/5/2018; Download the data. It starts well before Thanksgiving. … Read more

Source: unsplash.com Dec 18, 2018 The quality and accuracy of machine learning models depend on many factors. One of the most critical factors is pre-processing the dataset before feeding it … Read more

Using ML and AI as a force-multiplier will be a significant competitive advantage for networking product teams Photo by Hitesh Choudhary on Unsplash Machine learning and related techniques have seen tremendous … Read more

Imagine Snoopy without Woodstock or Calvin without Hobbes, Friends without Rachel, Batman without Robin or Mowgli without Baloo. Social platforms thrive on the ability of the members to find relevant … Read more

Fusion of multiple modalities using Deep Learning Being highly enthusiastic about research in deep learning I was always searching for unexplored areas in the field (Though it is tough to find … Read more

How to Use: Slightly Friendlier Version First install docker. Instructions for your machine can be found here. The docker getting started guide is useful for learning how docker works, although … Read more

Some practical examples, tips, and thoughts on supervised ML Earlier this year, through my MBA program at Cornell Tech, I took a great intro course on Machine Learning with a … Read more

Rethinking the problem I decided to pivot and try something new. It seemed to me that there was a clear disconnect between the odd look of the training data and images … Read more

Meng LiBlockedUnblockFollowFollowing Dec 17 Ever seen a destination map in Tableau? It’s usually used to show the tracks of flights, bus maps, traffic and so on. There are loads of … Read more

What is mlFlow? mlFlow is a framework that supports the machine learning lifecycle. This means that it has components to monitor your model during training and running, ability to store models, … Read more

Indeed, true personalization understands customers at a deeper level — their real-time intent, purchasing history, preferences and complex shopping journeys. It then utilizes these insights to tailor congruent, 1:1 interactions across channels. … Read more

Let’s take a look at the following diagram that illustrates the purposes of the specific layers in the CNN. As we can see above, starting from the left we are … Read more

Identifying firms with intentional distortion of financial statements is a challenging and exciting problem among auditors, banks and investors who rely on financial information to make decisions. Yet it is … Read more

Data Collection There are three datasets we’re using to run this experiment: A dataset we’ll collect ourselves that includes over 3400 song lyrics between 1970 and 2018. A list of … Read more

For anyone who has been paying attention, it will not have gone unnoticed that the past year has seen a dramatic expansion in the use of face recognition technology, including … Read more

Explore further the world of data science, machine learning and artificial intelligence We are on a mission to get the best content relevant to data science, machine learning, and artificial … Read more

Article jointly written by Arthur Pesah and Antoine Wehenkel Motivation There are usually two ways of coming up with a new scientific theory: Starting from first principles, deducing the consequent … Read more

How to conceptualize and implement effective data science projects Results, not hype Motivation The more I delve in data science, the more convinced I am that companies and data science practitioners must … Read more

Using Keras and TensorFlow.js to classify seven types of skin lesions Alex YuBlockedUnblockFollowFollowing Dec 16 After doing research on Convolutional Neural Networks, I became interested in developing an end-to-end machine learning … Read more

Learn how to Deal with Anxiety. When you start researching how to become a data scientist, you will discover an unfortunate fact about the profession. Namely, that becoming a data scientist … Read more

Advanced NLP techniques for deep learning With the problem of Image Classification is more or less solved by Deep learning, Text Classification is the next new developing theme in deep learning. … Read more

Dec 16, 2018 Source: Dark Reading Background Our project was inspired by Jamie Ryan Kiros who created a model trained on 14 million romance passages to generate a short romantic story … Read more

Opening up a Colab Notebook When using Colab for the first time, you can launch a new notebook here: Once you have a notebook created, it’ll be saved in your Google … Read more

The origin of logic theory starts at the concept of an argument. The majority of logic textbooks contain an opening, central definition for an argument — one that likely sounds much like … Read more