
您将获得的技能: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
高级设置 · 专项课程 · 3-6 个月

Coursera
您将获得的技能: Statistical Hypothesis Testing, Data-Driven Decision-Making, LLM Application, Performance Metric, Statistical Analysis, Test Script Development, Large Language Modeling, Business Metrics, Model Evaluation, Prompt Engineering, Natural Language Processing
中级 · 课程 · 1-4 周

University of Alberta
您将获得的技能: 模型评估, 人工智能, 深度学习, 监督学习, 马尔可夫模型, 强化学习, 概率分布, 机器学习算法, 线性代数, 功能工程, 伪代码, 性能调整, 模拟, Algorithm, 机器学习, 人工智能和机器学习(AI/ML), 抽样(统计), 性能测试, 人工神经网络
中级 · 专项课程 · 3-6 个月
DeepLearning.AI
您将获得的技能: 人工智能, 模型评估, 计算机视觉, 数据分析, 信息隐私, 文本挖掘, 非结构化数据, 监督学习, 自然语言处理, 灾难恢复, 卷积神经网络, 数据伦理, 应用机器学习, 环境监测, 机器学习, Jupyter, 缓解, 应急响应, 探索性数据分析, 图像分析
初级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 张力流, 嵌入, 自然语言处理, 数据预处理, 文本挖掘, 生成式人工智能, 应用机器学习, 递归神经网络 (RNN), 机器学习, 人工神经网络
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
高级设置 · 课程 · 1-3 个月

您将获得的技能: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
中级 · 专项课程 · 3-6 个月
您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
中级 · 课程 · 1-4 周

Imperial College London
您将获得的技能: Python 程序设计, 无监督学习, 数据预处理, 微积分, 降维, 统计, 线性代数, Jupyter, 功能工程, NumPy, 高等数学
中级 · 课程 · 1-4 周

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