Machine Learning Andrew Ng 课程
机器学习课程可以帮助您学习算法、数据预处理、模型 Evaluation 和神经网络。您可以掌握回归分析、分类技术和聚类方法方面的技能。许多课程都会介绍 Python、TensorFlow 和 Scikit-learn 等工具，展示如何在实际应用中使用这些技术来实施机器学习解决方案。
热门机器学习 Andrew Ng 课程和认证
状态：免费试用New York University
您将获得的技能: 模型评估, 统计方法, 深度学习, Scikit-learn （机器学习库）, 张力流, 回归分析, 监督学习, 强化学习, 逻辑回归, 应用机器学习, 金融, 预测建模, 机器学习, 金融市场, Jupyter, 人工神经网络
状态：免费试用University of Alberta
您将获得的技能: 强化学习, 机器学习算法, 概率分布, 模拟, Algorithm, 机器学习, 人工智能和机器学习（AI/ML）, 抽样（统计）
状态：免费试用Edureka
您将获得的技能: 人工智能, 数据预处理, 张力流, 监督学习, 深度学习, 自然语言处理, 文本挖掘, 应用机器学习, 预测建模, 卷积神经网络, 分类算法, 数据科学, 机器学习, 递归神经网络 (RNN)
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming
状态：新状态：免费试用您将获得的技能: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
状态：免费试用Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Modeling, Data Preprocessing
状态：免费试用状态：人工智能技能您将获得的技能: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
状态：免费试用MathWorks
您将获得的技能: 模型评估, 决策树学习, 监督学习, 数据预处理, Matlab, 回归分析, 逻辑回归, 数据清理, 功能工程, 应用机器学习, 预测建模, 分类算法, 机器学习
状态：免费Amazon Web Services
您将获得的技能: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra
总之，以下是 10 最受欢迎的 machine learning andrew ng 课程
- 金融领域机器学习导览: New York University
- 基于样本的学习方法: University of Alberta
- 机器学习和 NLP 基础知识: Edureka
- Automate, Validate, and Promote ML Models Safely: Coursera
- Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
- Optimize AI: Build Reusable Model Pipelines: Coursera
- Interpretable Machine Learning: Duke University
- Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- 使用 MATLAB 进行预测建模和机器学习: MathWorks
