Machine Learning and Deep Learning Algorithm Processes Finally got into the AI research program, but I don’t know what the difference is between machine learning and deep learning. It feels like everything is deep learning. Wow, I heard that a senior has been tuning parameters for 10 months to prepare for the T9 model with … Read more
Source | Zhihu: Deep Blue Academy Artificial intelligence is becoming increasingly popular today, with many terms constantly surrounding us: artificial intelligence, machine learning, deep learning, etc. Many people have a vague understanding of the meanings of these high-frequency terms and their relationships. To help everyone better understand artificial intelligence, this article explains these terms in … Read more
Click on the above“Beginner Learning Vision” to select “Star” or “Pin” Important content delivered at the first time Linear Models Linear models are the simplest and most basic machine learning models. Their mathematical form is as follows: g(x;w)=. Sometimes, we also add a bias term b on top of, but as long as we expand … Read more
Machine learning is divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), where training data is usually in the form … Read more
1. What is Machine Learning 1. Meaning Machine learning, is a branch of artificial intelligence that specifically studies how computers can simulate or realize human learning behavior. It trains models through various algorithms and uses these models to recognize and predict new problems. Essentially, machine learning is a way of extracting patterns from data or … Read more
1 Introduction to Algorithms Meta-learning, also known as “learning how to learn,” is an exciting and highly promising research direction in the field of machine learning. Traditional machine learning algorithms typically require a large amount of data to train models, and when the data distribution changes or a new task is encountered, the model often … Read more
Definition of Machine Learning Machine Learning essentially allows computers to learn patterns from data and predict future data based on the learned patterns. Machine Learning includes algorithms such as clustering, classification, decision trees, Bayesian methods, neural networks, and deep learning (Deep Learning). The basic idea of Machine Learning is to mimic the process of human … Read more
This article provides a comprehensive review of the development history of machine learning, from early basic algorithms to contemporary deep learning models, and future considerations of explainable AI and ethics. The article delves into the key technologies and concepts of each period, revealing the wide applications and potential of machine learning in various fields. Finally, … Read more
Differences and Connections Between Machine Learning and Deep Learning With the arrival of the big data era and the rapid advancement of computing power, artificial intelligence (AI) technology is changing our world at an unprecedented speed. Among the many branches of AI, machine learning and deep learning not only endow computers with learning capabilities but … Read more
Definition of Machine Learning Machine Learning is essentially about enabling computers to learn patterns from data and predict future data based on those patterns. Machine Learning includes algorithms such as clustering, classification, decision trees, Bayesian methods, neural networks, and deep learning. The basic idea of Machine Learning is to mimic the human learning process, where … Read more