Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network,以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能,这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具,让您可以实现算法和优化模型,使您的学习体验与当前的行业实践密切相关。

您将获得的技能: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Information Privacy, Data Ethics, Personally Identifiable Information, Google Cloud Platform, Secure Coding, Cloud Security, Safety and Security, Artificial Intelligence, Generative AI, Machine Learning
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Google Cloud Platform, Natural Language Processing, Machine Learning Algorithms
高级设置 · 课程 · 1-4 周

您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Data Validation
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Semantic Web, Generative AI, LLM Application, Artificial Intelligence, Web Analytics and SEO, Algorithms, Performance Tuning, Scalability
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Machine Learning Algorithms
初级 · 课程 · 1-4 周

Universidad de los Andes
您将获得的技能: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Linear Algebra, Dimensionality Reduction, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Classification And Regression Tree (CART), Bayesian Statistics, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Scientific Visualization, Unstructured Data, Probability
提供的学分
MasterTrack · 6-12 个月

您将获得的技能: Big Data, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning, Machine Learning Algorithms
初级 · 课程 · 1-4 周

Illinois Institute of Technology
您将获得的技能: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Application, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Deep Learning, Bayesian Statistics, Statistical Inference, Technical Communication, Data Validation
获得学位
学位 · 1-4 年

Clemson University
您将获得的技能: Human Computer Interaction, MySQL, Large Language Modeling, Dimensionality Reduction, Generative AI, Data Cleansing, Matplotlib, Database Design, Software Development Methodologies, Databases, Usability, Relational Databases, Reinforcement Learning, Data Mining, Data Structures, Systems Development Life Cycle, Responsible AI, Deep Learning, Algorithms, Machine Learning Methods
获得学位
学位 · 1-4 年

Google Cloud
您将获得的技能: Responsible AI, Generative AI, Google Cloud Platform, Large Language Modeling, Data Quality, LLM Application, Artificial Intelligence, Data Ethics, Machine Learning
初级 · 课程 · 1-4 周