Category Archives: Machine Learning

Machine Learning Beats Data Science for Top Tech Job By Salary

Rank Job Title Number of Postings per Million Average Base Salary Average Growth in Postings 2013-2016 1 Machine Learning Engineer 58 $134,306 36% 2 Data Scientist 360 $129,938 108% 3 Computer Vision Engineer 20 $127,849 34% 4 Development Operations Engineer … Continue reading

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The Emoji Guide to Machine Learning

Source: Emily Barry

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6 Roads to Prediction: Machine Learning Algorithms (Infographic)

Source: Data Iku

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Python, Java, and R are Most Popular Machine Learning Programming Languages

Source: Jean Francois Puget Data based on job descriptions on indeed.com  

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Statistics and Machine Learning

The image above is taken from a data mining primer course SAS offered in 1998. Aatash Shah, CEO of Edvancer Eduventures, in KDnuggets: Machine learning requires no prior assumptions about the underlying relationships between the variables. You just have to throw … Continue reading

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What is Machine Learning

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O’Reilly AI Conference: 12 Observations About Artificial Intelligence

At the inaugural O’Reilly AI conference, 66 artificial intelligence practitioners and researchers from 39 organizations presented the current state-of-AI: From chatbots and deep learning to self-driving cars and emotion recognition to automating jobs and obstacles to AI progress to saving … Continue reading

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3 Takes on Debugging Machine Learning

S. Zayd Enam: The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn’t work or 2) your algorithm doesn’t work well enough. What is unique about … Continue reading

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Current Capabilities of Artificial Intelligence (AI)

Andrew Ng: Surprisingly, despite AI’s breadth of impact, the types of it being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)… … Continue reading

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Machine Learning and AI Market Landscape, 2016

Shivon Zilis and James Cham, O’Reilly: For the first time, a “one stop shop” of the machine intelligence stack is coming into view—even if it’s a year or two off from being neatly formalized. The maturing of that stack might explain why … Continue reading

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