All current Ensemble Learning Courses courses in 2024
8 Courses
Data Analytics Foundations for Accountancy II
Welcome to the "Data Analytics Foundations for Accountancy II" course, offered by ESSEC Business School on Coursera. This course is designed to enhance your learning in the realms of Machine Learning, Anomaly Detection, Data Analysis, and Ensemble Learning, pivotal in the modern accountancy landscape.
As your instructor, I am thrilled to embark on.
Coursera
Free Online Course (Audit)
70 hours
On-Demand
Machine Learning Made Easy : Beginner to Advanced using R
Learn Machine Learning Algorithms using R from experts with hands on examples and practice sessions. With 5 different pr
Udemy
Paid Course
15 hours
On-Demand
Ensemble Machine Learning in Python: Random Forest, AdaBoost
Learn the powerful ensemble methods in machine learning including Random Forest, AdaBoost, Boosting, Bagging, and Bootstrap with this hands-on course offered by Udemy. Designed for data science enthusiasts, this course will guide you through the practical applications of these techniques using Python.
Embark on your data science journey by enro.
Udemy
Paid Course
5 hours 46 minutes
On-Demand
Advanced Methods in Machine Learning Applications
Advanced Methods in Machine Learning Applications
The course "Advanced Methods in Machine Learning Applications" delves into sophisticated machine learning techniques, offering learners an in-depth understanding of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning.
Emphasizing practical application, this cou.
Advanced AI and Machine Learning Techniques and Capstone
Join our Advanced AI and Machine Learning Techniques and Capstone course to explore high-level AI & ML strategies. This course culminates in a capstone project where you'll utilize comprehensive skills to tackle a real-world challenge. Throughout, you'll encounter state-of-the-art machine learning methods and delve into the ethical consider.
Ensemble Machine Learning in Python: Random Forest, AdaBoost
Ensemble Machine Learning in Python: Random Forest, AdaBoost | Udemy
Enhance your data science skills with our comprehensive course on ensemble machine learning in Python. Delve into powerful techniques like Random Forest and AdaBoost, as well as foundational ensemble methods such as Boosting, Bagging, and Bootstrap. This course is provided b.
人工智能方法与技术
本课程系统、深入地介绍人工智能的理论方法、领域应用和前沿技术，主要内容包括：知识表示与因果推理、语言文本分析、集成学习及大数据分类与预测、智能推荐新技术、社交媒体的图模型计算与传播机制、博弈论与智能决策方法、复杂系统网络建模与控制决策等。注重对智能媒体计算相关的语言文本、智能推荐、互联网传播等场景下的实战应用分析。
适合于研究生或高年级本.
机器学习与模式识别
《机器学习与模式识别》是为人工智能、工业智能以及自动化专业设计的专业课程，研究如何利用机器学习方法完成模式识别任务中涉及的基本概念、原理和实现方法。
课程内容涵盖模式识别与机器学习的基本任务、核心概念与方法，包括贝叶斯决策论与概率模型估计、线性分类与回归、支持向量机、决策树、集成学习、模型评估、特征学习与选择，以及人工神经网络与深度学习。另外，本.
