Machine Learning

  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…

  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…

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…

  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….

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…

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…

Natural language, which is the language we use every day, contains “ambiguity” that can be interpreted in multiple ways. Natural language processing is a technology that allows computers to understand the meaning of the everyday words we use in a single, natural way. Applying this technology leads to “machine translation” and “text mining” which processes large amounts…

What sparked the 3rd AI boom was deep learning technology, which boasts accuracy far exceeding that of conventional AI technology. Deep learning has made remarkable progress in fields such as image recognition and speech recognition. In this article, I will introduce the library ” TensorFlow “, which is often mentioned when dealing with deep learning . By using…

Machine learning is the process of having a machine learn from data so that it can deal with various problems. It is attracting attention as one of the technologies responsible for the “learning” of AI. Machine learning methods can be broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning. This article explains the meaning of machine…