Top NLP Algorithms & Concepts
Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the… Read More »Top NLP Algorithms & Concepts
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3 essential elements for mastering machine learning for 2020
Thomas Edison famously said that success is 90% perspiration and 10% inspiration. That’s nowhere truer than in machine learning. Even though the hype around artificial… Read More »3 essential elements for mastering machine learning for 2020
Business Intelligence: Its Impact on the Pharmaceutical Industry
Since data is now omnipresent, it has become critical for any business looking to not only remain competitive but also stay far ahead of the… Read More »Business Intelligence: Its Impact on the Pharmaceutical Industry
Which one is faster in multiprocessing, R or Python?
This post is the third one of a series regarding loops in R an Python. The first one was Different kinds of loops in R.… Read More »Which one is faster in multiprocessing, R or Python?
Schmarzo’s Big, Hairy, Audacious Data Analytics Predictions for 2020
Ah, it’s that time of year when everyone is making predictions about next year and extrapolating from the previous year’s trends to create logical, pragmatic… Read More »Schmarzo’s Big, Hairy, Audacious Data Analytics Predictions for 2020
A Question of Usability
Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for… Read More »A Question of Usability
How is IoT Supporting Various Oil & Gas Industrial Operations?
The heightened technological development in the 21st century would not have been possible without the contribution from the oil & gas sector. Our dependence on… Read More »How is IoT Supporting Various Oil & Gas Industrial Operations?
Seven differences between academia and industry for building machine learning and deep learning models
Academia and industry take different approaches to building machine learning and deep learning models Here are seven differences 1) Approach to accuracy: When you are… Read More »Seven differences between academia and industry for building machine learning and deep learning models
Top 8 Data Science Use Cases in Production
Production sphere embraces a wide range of processes related to all branches and stages of creating material goods. In addition, these material goods may be… Read More »Top 8 Data Science Use Cases in Production
Top 9 Data Science Use Cases in Analytics
Data science and analytics are growing in their popularity and range of applications in the modern world. Data science deals with answering questions and uncovering… Read More »Top 9 Data Science Use Cases in Analytics