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。

Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
中级 · 专项课程 · 1-3 个月

Maven Analytics
您将获得的技能: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence
初级 · 课程 · 1-3 个月
Stanford University
您将获得的技能: 统计方法, 统计建模, 概率分布, 贝叶斯网络, 应用机器学习, 机器学习, Algorithm, 马尔可夫模型, 网络分析, 机器学习算法
高级设置 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture
中级 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration
高级设置 · 课程 · 3-6 个月

IBM
您将获得的技能: 原型设计, 数据分析, 深度学习, 数据预处理, 负责任的人工智能, AI 工作流程, 数据伦理, 功能工程, 生成式人工智能, 预测建模, Prompt Engineering, 机器学习, 人工智能和机器学习(AI/ML), 提示模式, 数据科学, ChatGPT, 探索性数据分析, 数据综合, AI 赋能, 数据可视化
中级 · 专项课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
中级 · 课程 · 1-3 个月

您将获得的技能: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation
初级 · 指导项目 · 不超过 2 小时

DeepLearning.AI
您将获得的技能: 模型评估, 数据分析, 深度学习, 医学术语, 自然语言处理, 统计分析, 文本挖掘, AI 个性化服务, 临床试验, 应用机器学习, 健康信息学, 机器学习, 治疗计划, 病人治疗
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 拥抱的脸, 深度学习, 嵌入, 自然语言处理, 迁移学习, 递归神经网络 (RNN), 人工神经网络
中级 · 课程 · 1-4 周

Sungkyunkwan University
您将获得的技能: 统计方法, Python 程序设计, 模型评估, Scikit-learn (机器学习库), 回归分析, 监督学习, 线性代数, 概率, 逻辑回归, 应用机器学习, 分类算法, 机器学习
混合 · 课程 · 1-4 周