
Duke University
您将获得的技能: Algorithm, 卷积神经网络, Model Evaluation, 计算机视觉, 逻辑回归, 无监督学习, 深度学习, 监督学习, 回归分析, 分类与回归树 (CART), 决策树学习, 自然语言处理, 数据科学, 随机森林算法, 预测分析, 人工智能和机器学习(AI/ML), 机器学习
中级 · 课程 · 1-3 个月

Amazon Web Services
您将获得的技能: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
混合 · 课程 · 1-4 周

Whizlabs
您将获得的技能: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing
中级 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: Algorithm, 机器学习算法, 衍生产品, 无监督学习, NumPy, 回归分析, 应用数学, 降维, 人工神经网络, 统计, Python 程序设计, 数据预处理, 功能工程, 微积分, 数学建模, 高等数学, Jupyter, 线性代数
初级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: 人工智能, 模型部署, 预测建模, 无监督学习, 微软 Azure, 回归分析, 监督学习, 分类算法, MLOps(机器学习 Operator), 无代码开发, 人工智能和机器学习(AI/ML), 应用机器学习, 机器学习
初级 · 课程 · 1-4 周

您将获得的技能: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
中级 · 课程 · 1-4 周

您将获得的技能: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus
初级 · 课程 · 1-4 周

Whizlabs
您将获得的技能: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
中级 · 专项课程 · 3-6 个月

您将获得的技能: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
中级 · 专项课程 · 3-6 个月

Dartmouth College
您将获得的技能: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
攻读学位
中级 · 课程 · 1-3 个月