Ding dong! Bonus time, a collection of machine learning must-read articles

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This time, Xiaomin presents warm winter benefits for those who are struggling in the sea of machine learning

This article mainly introduces some excellent articles and related news and academic papers in the field of machine learning. It helps to consolidate the basic concepts of artificial intelligence and understand the latest hot topics of artificial intelligence. Whether you are new to the field or already have a certain understanding of it, I believe you can benefit from this article.

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Artificial intelligence and machine learning

Ai Terminology for Beginners — This article from Towards Data Science introduces and explains 14 acronyms commonly used in machine learning, covering ai concepts in general as well as specific concepts in neural networks and expertise. The article contains concise text explanations, clear and powerful graphic captions, and web links detailing each term.

The Difference between Artificial Intelligence, Machine Learning, and Deep Learning — The terms artificial intelligence and machine learning are often used interchangeably. However, there are some differences between the two. This blog provides a clear and thorough explanation of artificial intelligence, machine learning, and deep learning, and how to distinguish them.

Machine Learning Annotation Service — To build high-performance machine learning models, you need to train them with high-quality data. In addition, this data often needs to be annotated so that the model can understand and learn from it. As a result, the rise of machine learning has spawned data annotation companies. This article explains the value of data annotation companies, the types of annotation services, and how to reduce costs when outsourcing such services.

What is Image Tagging? Computer vision is one of the largest research areas in machine learning. Computer vision models are trained on annotated image data to create machines that can visually perceive and interpret the outside world. Therefore, the development of computer vision technology leads to the strong demand for image annotation services. This paper introduces what is image annotation and five common methods of image annotation.

What is Face Recognition? — In computer vision, face recognition has attracted a lot of attention and investment from tech companies. Face recognition is widely used in security, surveillance, augmented reality and smartphone apps, creating a lot of economic value. In addition, face recognition promises to improve many workflows in companies around the world. This article uses diagrams and examples to clearly explain the concept of face recognition and how it works.

Machine Learning news

“House Intelligence Committee holds hearing on Deepfakes Face-swapping technology and ARTIFICIAL intelligence” — Deep face-swapping has been one of the hottest topics in artificial intelligence these days. Face-changing technology and audio synthesis technology have never been better. In Response, the U.S. House of Representatives held a hearing in June 2019 to discuss the threat posed by deep face swapping and other media synthesis technologies.

The Us House Intelligence Committee held a hearing on Deepfakes face-changing technology and artificial intelligence

“Replika AI Launches Chatbots that Mimic users’ personalities” — Chatbots are one of the most common use cases for machine learning technology. The technology is commonly used for automated customer service, and almost everyone has had some experience interacting with a chatbot. Replika, however, is more than just a customer service robot: it can be a friend, a mentor, even a clone of yourself. The article explains Replika’s birth and how it uses the text of conversations as training data to evolve over time and mimic the user’s personality.

‘Google Creates dataset Search Engine’ — Due to the growing demand for large open source datasets, many students and data scientists have started using sites like Github and Kaggle to find training data. In an effort to make open source data accessible to the world, Google has launched a new search engine dedicated to the dataset. This paper introduces Google data Search and its application method.

“Waymo says’ pure driverless driving ‘is Coming” — Google parent Alphabet Inc. Waymo, which claims that “pure driverless driving” is just around the corner, is working hard to get driverless cars on the road in Arizona. An email Waymo sent to members of the Early Rider program was leaked on Reddit, outlining the company’s plans for the coming months. The email was quoted in the article, and a Waymo spokesman confirmed its authenticity.

‘Microsoft launches AirSim on Unity’ — The self-driving car market continues to grow year by year, led by the likes of Tesla, Uber and Google. Microsoft has launched a virtual training environment called AirSim to improve training for self-driving cars. This paper introduces the general situation, advantages and usage of AirSim.

Advanced benefits: Academic papers on artificial intelligence

The following are academic publications in the field of artificial intelligence to help you find more in-depth articles on machine learning.

Automation product classification is an important field of machine learning research, especially for some large international e-commerce companies. On sites like Amazon and Rakuten, thousands of merchants add millions of products to their catalogs online each year. Automated product categorization minimizes errors in product listings and provides a good user experience for such sites. This paper proposes a product classification method based on machine translation.

“Probabilistic face embedding” — In face recognition system, deterministic face embedding cannot properly deal with the interference information in the input image. In the study, data scientists at Michigan State University proposed probabilistic face embedding, which is capable of embedding faces based on identifying distracting information and ambiguity.

“Multilingual Emotional Categorization of Tweets: The Role of Human Annotations” — this article introduces an interesting study that analyzed the emotions of tweets. In addition, the results show how the quality of artificial annotations can have a huge impact on model accuracy.

Xiaomin sincerely hope that the above article can help you learn the basic knowledge of artificial intelligence

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