图书馆课程可以帮助您学习编目、参考资料服务、信息素养和数字资源管理。您可以掌握研究技巧、数据组织和社区外联方面的技能。许多课程都会介绍集成图书馆系统和在线数据库等工具,这些工具可支持馆藏管理和信息获取。

DeepLearning.AI
您将获得的技能: 机器学习, 人工智能, 计算机视觉, 数据预处理, 深度学习, 卷积神经网络, Keras(神经网络库), 张力流, 模型评估, Model Evaluation, 人工神经网络, 图像分析
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)
中级 · 专项课程 · 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: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components
中级 · 课程 · 1-3 个月

您将获得的技能: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
初级 · 课程 · 1-4 周
University of Michigan
您将获得的技能: 机器学习, 功能工程, 无监督学习, 决策树学习, 监督学习, 随机森林算法, Python 编程, Scikit Learn(机器学习库), 回归分析, 分类算法, 人工神经网络, 模型评估, Model Evaluation, 预测建模, 应用机器学习
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Tensorflow, AI Enablement, PyTorch (Machine Learning Library), Technology Strategies, Model Deployment, Interoperability, Performance Tuning
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture
中级 · 课程 · 1-4 周

University of Pittsburgh
您将获得的技能: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
攻读学位
中级 · 课程 · 1-4 周

您将获得的技能: React Redux, React.js, UI Components, User Interface (UI), Front-End Web Development, Scalability, Web Applications, Development Environment, Web Development Tools, Javascript, Data Management, Debugging
初级 · 课程 · 1-4 周

您将获得的技能: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning
中级 · 课程 · 1-4 周

您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing
中级 · 专业证书 · 3-6 个月