Many people who are studying machine learning for the first time may think that “regression in machine learning seems difficult and I don’t really understand it.” While regression in machine learning is a representative analysis method of machine learning, some people may find it a little difficult to approach due to its high degree of…
An overview of common design patterns in building successful machine learning solutions Introduction A design pattern is a set of MLOps and reusable solutions to common problems. Data science, software development, architecture and other engineering disciplines consist of many recurring problems. So categorizing the most common problems, making them easily recognizable, and providing different forms…
These days, more than a few manufacturers are incorporating AI technology into their worksites . In this article, we will summarize “machine learning”, which is the cornerstone of such AI. In particular, with the use of AI in anomaly detection systems in the manufacturing industry in mind, we explain the types, characteristics, and advantages of typical machine learning. Please refer to…
Foreword Embeddings are one of the most versatile techniques in machine learning, and an important tool that every machine learning engineer should have in their toolbelt. But it’s a shame that so few people understand what embedding is and what it’s good for! The problem may be that the embedding sounds somewhat abstract and arcane….
I’m thinking of becoming a machine learning engineer, but I don’t know what kind of work or what kind of skills are required. A machine learning engineer is a job that is responsible for implementing, operating, and building an environment for machine learning algorithms. Since it is difficult to “eliminate misprediction” in machine learning, some people say…
What is SVM (Support Vector Machine)? First, let me explain what support vectors are. A support vector is “the data closest to the straight line that divides the data”. It uses a concept called “margin maximization” to find the correct classification criteria. Consider the problem of classifying with two features. Margin is the distance between the…
What is Machine Learning Classification? First, let’s talk about machine learning classification. Machine learning can be broadly divided into supervised learning, unsupervised learning, and reinforcement learning, depending on the type of data and circumstances. Among them, classification is a method that belongs to ” supervised learning “. Therefore, I will first explain machine learning and supervised learning, and then I will…
There are various washing machines on the market today. Among them, “washing machines equipped with AI” are attracting particular attention. AI-equipped washing machines continue to expand production while improving performance, mainly by major home appliance manufacturers. However, while it is nice to have new functions and types, you may be at a loss as to which washing…
How to understand AI/ML research publications Do data scientists and machine learning professionals need to read research papers? The short answer is “yes”. And don’t worry if you don’t have a formal education or only have an undergraduate degree in machine learning. Reading academic papers can be daunting for the uneducated. However, a lack of academic reading…
A ” library ” in programming is a program that allows anyone to easily use a series of highly versatile processes. By using the library according to your purpose, you can easily design and execute the program without creating the program from scratch. Especially in machine learning, which has a complicated process, various libraries have been developed…