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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

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Defining data science in 2018

Data Science and Beyond

This article is a short summary of my understanding of the definition of data science in 2018. Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. But what does it mean?

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Of Muffins and Machine Learning Models

Cloudera

Model interpretability is one of five main components of model governance. The complete list is shown below: Model Lineage . Model Visibility. Model Explainability. Model Interpretability. Model Reproducibility. In this article, we explore model governance, a function of ML Operations (MLOps).

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. What Are The Benefits of Business Intelligence? Let’s look at our first use case.

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Best Practice of Using Data Science Competitions Skills to Improve Business Value

DataRobot Blog

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. I thought of the solutions of the top team in a Data Science Competition for LANL Earthquake Prediction.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Note These three particular words are called articles , or determiners. GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. We waved our finger in the air to select 64, so some experimentation and optimization are warranted at your end if you feel like it.