“None of us is as strong as all of us” “我们当中没有一个人像我们所有人一样强大” Ensemble Techniques have become quite popular among the machine learning fraternity because of the simple fact that ‘one-size-fits-all’ can’t always practically hold goo…
之前的学习简要介绍了机器学习和深度学习的相关概念,上一篇文章李宏毅2021春季机器学习教程HW1-COVID-19 Cases Prediction (Regression)解答有关于HW1的解答,接下来继续学习机器学习。
目录
Framework of ML
General Guide
Model bias
Optimizatio…
模型越复杂越容易惰性 Hey, hope you are having a wonderful day! 嘿,希望您今天过得愉快! Whenever I work on a new ML project. These lines always pop up in my mind every time 每当我从事新的ML项目时。 这些线每次都会在我的脑海中弹出 “I n…
贝叶斯回归 线性回归 区别 介绍 (Introduction) Today time series forecasting is ubiquitous, and decision-making processes in companies depend heavily on their ability to predict the future. Through a short series of articles I will present you with a possibl…
lstm 能耗预测 An Introduction to Time Series Analysis and Forecasting Using Python 使用Python进行时间序列分析和预测的简介 时间序列分析与预测 (Time Series Analysis & Forecasting) Time series data refers to a set of observations collected at different p…
线性回归非线性回归 T Ť Linear Regression is famously known for being a simple algorithm and a good baseline to compare more complex models to. In this article, we explore the algorithm, understand the math, run the code, and learn linear regression As Soo…
l1正则化和l2正则化 I have read many articles on the topic to find out which is better out of two and what should I use for my model. I wasn’t satisfied with any of them and that left my brain confused which one should I use? After having done so many exp…
python julia I recently went through some machine learning training with Python, and wanted to reflect a bit on how I experienced that when comparing it with my experience with Machine Learning in Julia. 最近,我接受了一些使用Python进行的机器学习…