
Coursera
您将获得的技能: 生成式人工智能, 数据分析, 人工智能和机器学习(AI/ML), 应用机器学习, 模型评估, 持续监测, MLOps(机器学习运营), 探索性数据分析, 预测建模, 统计分析, 功能工程, 数据收集, 数据预处理, 数据伦理, 数据清理, 机器学习, 模型部署, Model Evaluation
中级 · 课程 · 1-3 个月

The University of Chicago
您将获得的技能: Keras(神经网络库), 深度学习, 模型评估, 回归分析, Pandas(Python 软件包), 张力流, 分类算法, 应用机器学习, 监督学习, 功能工程, 降维, 统计方法, 数据预处理, 无监督学习, 机器学习, 机器学习算法, Scikit Learn(机器学习库), 随机森林算法, Model Evaluation
中级 · 课程 · 1-3 个月

您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction
中级 · 课程 · 1-3 个月

Microsoft
您将获得的技能: 监督学习, 回归分析, 虚拟机, 应用机器学习, 模型评估, Microsoft Azure, 预测建模, 数据管道, MLOps(机器学习运营), 分类算法, 人工智能和机器学习(AI/ML), Databricks, 微软 Azure, 模型部署, 负责任的人工智能, 机器学习, Scikit Learn(机器学习库), 无监督学习, Virtual Machine, Model Evaluation
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
初级 · 课程 · 1-4 周

University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing
中级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution
攻读学位
中级 · 课程 · 1-3 个月
您将获得的技能: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
中级 · 课程 · 1-4 周

Wesleyan University
您将获得的技能: 数据分析, 探索性数据分析, 模型评估, 回归分析, 预测分析, 数据挖掘, 应用机器学习, 统计分析, 功能工程, Python 编程, 无监督学习, 机器学习算法, 决策树学习, 随机森林算法, 机器学习, 分类与回归树 (CART), Model Evaluation
混合 · 课程 · 1-4 周

您将获得的技能: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
中级 · 课程 · 1-4 周

Edureka
您将获得的技能: 自然语言处理, 递归神经网络 (RNN), 监督学习, 应用机器学习, 人工智能, 分类算法, 深度学习, 预测建模, 卷积神经网络, 张力流, 数据科学, 数据预处理, 文本挖掘, 机器学习
初级 · 课程 · 1-4 周

您将获得的技能: Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Machine Learning Software, Clinical Informatics, Statistical Machine Learning, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Data Analysis
中级 · 课程 · 1-4 周