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Top 7 Things I Learned in my Data Science Masters
Even though I’m still in my studies, here’s a list of the most important things I’ve learned (as of yet).
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Three Things to Know About Reinforcement Learning
As an engineer, scientist, or researcher, you may want to take advantage of this new and growing technology, but where do you start? The best place to begin is to understand what the concept is, how to implement it, and whether it’s the right approach for a given problem.
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An Overview of Density Estimation
Density estimation is estimating the probability density function of the population from the sample. This post examines and compares a number of approaches to density estimation.
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Lemma, Lemma, Red Pyjama: Or, doing words with AI
If we want a machine learning model to be able to generalize these forms together, we need to map them to a shared representation. But when are two different words the same for our purposes? It depends.
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Know Your Data: Part 2
To build an effective learning model, it is must to understand the quality issues exist in data & how to detect and deal with it. In general, data quality issues are categories in four major sets.
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 The Last SQL Guide for Data Analysis You’ll Ever Need
This is it: the last SQL guide for data analysis you'll ever need! OK, maybe it’s actually the first. But it’ll give you a solid head start.
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Data Preparation for Machine learning 101: Why it’s important and how to do it
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
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Multi-Task Learning – ERNIE 2.0: State-of-the-Art NLP Architecture Intuitively Explained
The tech giant Baidu unveiled its state-of-the-art NLP architecture ERNIE 2.0 earlier this year, which scored significantly higher than XLNet and BERT on all tasks in the GLUE benchmark. This major breakthrough in NLP takes advantage of a new innovation called “Continual Incremental Multi-Task Learning”.
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Sentiment and Emotion Analysis for Beginners: Types and Challenges
There are three types of emotion AI, and their combinations. In this article, I’ll briefly go through these three types and the challenges of their real-life applications.
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Know Your Data: Part 1
This article will introduce the different type of data sets, data object and attributes.
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The Last SQL Guide for Data Analysis You’ll Ever Need
Know Your Data: Part 1