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。

您将获得的技能: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
中级 · 专项课程 · 3-6 个月

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

您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
中级 · 专项课程 · 3-6 个月

您将获得的技能: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 模型评估, 分类算法, 负责任的人工智能, 卷积神经网络, 数据分析, 模型部署, 数据预处理, 机器学习, 监督学习, 数据管道, 信息隐私, 迁移学习, 分布式计算, 数据处理, 数据转换, 数据伦理, Virtual Machine, 图像分析, 张力流, 机器学习软件
中级 · 专业证书 · 3-6 个月

Google Cloud
您将获得的技能: 机器学习, Google 云端平台, 脚本, 监督学习, 深度学习, 开发环境, 云计算, 张力流, 人工神经网络
初级 · 项目 · 不超过 2 小时

您将获得的技能: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
混合 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 大型语言模型, 模型评估, 机器学习, LLM 申请, 负责任的人工智能, 模型部署, 自然语言处理, 可扩展性, Prompt Engineering, 强化学习, 生成模型架构, 应用机器学习, 生成式人工智能, Python 程序设计
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
中级 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning, Classification Algorithms, Trend Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling
初级 · 专项课程 · 1-3 个月