应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具,这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
中级 · 课程 · 1-4 周

您将获得的技能: Cryptography, Model Evaluation, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling
初级 · 专项课程 · 3-6 个月

Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
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中级 · 专项课程 · 3-6 个月

Duke University
您将获得的技能: 机器学习, 计算机视觉, 深度学习, Transfer Learning, 监督学习, 卷积神经网络, 无监督学习, 人工神经网络, Python 程序设计, 递归神经网络 (RNN), 强化学习, 自然语言处理, 医学影像, 逻辑回归, 图像分析, 应用机器学习, PyTorch(机器学习库)
中级 · 课程 · 1-3 个月

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
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初级 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
初级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Manipulation, Classification Algorithms
中级 · 课程 · 1-4 周

Edge Impulse
您将获得的技能: 机器学习, 卷积神经网络, 深度学习, 数据预处理, 人工神经网络, 计算机编程, 功能工程, 数据伦理, 嵌入式软件, 模型部署, Model Evaluation, 数字信号处理, 应用机器学习, 数据分析, 嵌入式系统, 人工智能和机器学习(AI/ML)
中级 · 课程 · 1-4 周

Simplilearn
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
初级 · 专项课程 · 1-3 个月

您将获得的技能: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
混合 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: 机器学习, 数据整理, 监督学习, 数据预处理, 回归分析, 分类算法, 随机森林算法, 预测分析, 统计机器学习, 机器学习算法, 功能工程, Model Evaluation, R 语言程序设计(中文版), 应用机器学习, 探索性数据分析, 预测建模
混合 · 课程 · 1-4 周