Tag - Machine Learning’

1. How important are our features ?

Intuitive Interpretation of Random Forest For someone who thinks that random forest is a black box algorithm, this post can offer a differing opinion. I am going to cover 4 interpretation methods that can help us get meaning out of a random forest mo...

1. Query relaxation

พัฒนาระบบ Search ของ Wongnai ด้วย Machine Learning ตอนที่ 2: Query Understanding Ekkalak Thongthanomkul BlockedUnblockFollowFollowing Jan 16 จากบทความที่แล้ว เราได้อธิบายวิธีการสร้างโมเดลตัดคำ สำหรับระบบ Search ของ Wongnai โดยมีจุดประสงค์เพื่อช่วยเพิ...

12 Useful Things to Know About Machine Learning

This is a summary of 12 key lessons that machine learning researchers and practitioners have learned include pitfalls to avoid, important issues to focus on and answers to common questions. By James Le, Machine Learning Engineer. comments Machine lea...

2017 is the Year IIoT Becomes Normal

In this special guest feature, Saar Yoskovitz, CEO at Augury, explores the efficiencies (both cost and speed) of the IIoT and why the next 12 months will see more companies normalizing IIoT benefits. Saar, an avid entrepreneur, has extensive experien...

3 different types of machine learning

In this extract from “Python Machine Learning” a top Making predictions about the future with supervised learning The main goal in supervised learning is to learn a model from labeled training Considering the example of email spam filtering, we can t...