
Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
中级 · 专项课程 · 1-4 周

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

IBM
您将获得的技能: Model Evaluation, 无监督学习, 预测建模, 逻辑回归, 回归分析, 监督学习, Python 程序设计, 降维, 分类算法, Scikit-learn (机器学习库), 机器学习, 应用机器学习, 功能工程, 决策树学习
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Supervised Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning
中级 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
初级 · 专项课程 · 1-3 个月

您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
初级 · 专项课程 · 1-3 个月

您将获得的技能: PyTorch(机器学习库), 大型语言模型, 嵌入, 文本挖掘, 生成式人工智能, Transfer Learning, 自然语言处理, 性能调整, 应用机器学习
中级 · 课程 · 1-4 周

Pearson
您将获得的技能: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Embeddings, Tensorflow, Transfer Learning, Performance Tuning
中级 · 专项课程 · 1-4 周

您将获得的技能: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Model Evaluation, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning
混合 · 课程 · 1-4 周

Duke University
您将获得的技能: PyTorch(机器学习库), Docker (软件), 云计算解决方案, CI/CD, 张力流, 拉斯特(编程语言), 大数据, 拥抱的脸, Devops, 集装箱化, MLOps(机器学习 Operator), 应用机器学习, 机器学习, 人工智能和机器学习(AI/ML), 无服务器计算, GitHub, Microsoft Copilot, 负责任的人工智能
高级设置 · 课程 · 1-3 个月

Coursera
您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning
中级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: NumPy, 降维, 应用数学, Python 程序设计, 代数, 数学建模, 机器学习, Machine Learning 方法, 数据操作, 高等数学, 数据预处理, 线性代数
中级 · 课程 · 1-4 周