Compared to other fields, machine learning/artificial intelligence now seems to have a super-funny development with higher frequency.
机器 学习
From rule-based to deep learning, NLP technology advanced trilogy
We will introduce you quicklyNLPThe main technical methods of 3 in it, and how we use them to build great machines!
The field of machine learning, the most cited paper in history, Top 10
Nearly 40 has produced tens of thousands of papers in the field of machine learning and has grown at a rate of tens of thousands per year. But there are not many that can really be called classics, withstood historical tests, and can be put into practical use. This paper sorts out the classic papers that appear in the history of machine learning. They are sorted according to the number of times they are cited, divided into top10, the number of citations exceeds 2 million, the number of citations exceeds 1 million, and the 4 part of the future has potential.
Do not exaggerate, do not speculate: see the essence of AI through machine learning examples
Let's take a look at how AI and machine learning affect today's technology, because when AI really changes the world, it may be too late to understand these effects.
BAT expert interpretation: How to choose the most appropriate deep learning framework?
With deep learning attention and momentum, deep learning is being combined with the production practices of more and more companies and organizations. At this time, whether it is for beginners of deep learning related majors or developers who have been engaged in industrial scene application and R&D in enterprises and organizations, it is particularly important to choose a deep learning framework that suits their needs and suits the needs of business scenarios.
Deep long text: a ten-year review of Chinese word segmentation
This paper reviews the technical progress of Chinese word segmentation in 2007-2017 for ten years, especially since the deep penetration of deep learning into natural language processing. Our basic conclusion is that the supervised machine learning method of Chinese word segmentation has not shown obvious technical advantages in the migration from non-neural network method to neural network method. The construction of the machine learning model of Chinese word segmentation still needs to balance the recognition problem of known words and unregistered words.
2018 10 Large Machine Learning Open Source Project
In this issue, we will recommend 10 machine learning open source projects, and count the 250 machine learning open source projects in the past month, and select the current Top10. Average 1483 Stars.
"Practical explanation" Machine learning to obtain data is difficult? Don't forget the feature engineering
To make machine learning models easier to read data, we can use feature engineering to improve the performance of the model.