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  • 教学方法

Results for "教学方法"


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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

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    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Continuous Deployment, System Monitoring, Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Advanced Analytics, Artificial Intelligence, Machine Learning, Data Cleansing

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Español

    Skills you'll gain: Responsible AI, Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Documentation, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Fairness & Bias - Español

    Skills you'll gain: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Observability in Google Cloud - 日本語版

    Skills you'll gain: Application Performance Management, Network Monitoring, Google Cloud Platform, Prometheus (Software), Kubernetes, System Monitoring, Cloud Applications, Query Languages, Virtual Machines

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP - Italiano

    Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Applied Machine Learning, Machine Learning, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Reliable Cloud Infrastructure: Design and Process - 繁體中文

    Skills you'll gain: Application Deployment, Microservices, Cloud Infrastructure, Google App Engine, Network Architecture, Cloud Security, Site Reliability Engineering, Kubernetes, Restful API, Cloud Computing Architecture, Google Cloud Platform, CI/CD, API Design, Cloud Storage, System Design and Implementation, Service Level Agreement, Service Design, Load Balancing

    Advanced · Course · 1 - 3 Months

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    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling, Algorithms

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Google Cloud Customer Care Fundamentals - 简体中文

    Skills you'll gain: Technical Support, Google Cloud Platform, Technical Communication, Identity and Access Management, Cloud Services, Service Level, Personally Identifiable Information, Issue Tracking, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Tensorflow, Artificial Intelligence, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introducción a la seguridad en el mundo de la IA

    Skills you'll gain: Data Security, Responsible AI, Security Strategy, Cloud Security, Personally Identifiable Information, Security Management, Risking, Infrastructure Security, Threat Management, Data Ethics, Cybersecurity, Threat Modeling, AI Product Strategy, Artificial Intelligence, Safety and Security, Generative AI, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Data Mining, Text Mining, Time Series Analysis and Forecasting, Artificial Neural Networks, Statistical Analysis, Supervised Learning, Predictive Modeling, Deep Learning, Big Data, Data Science, Feature Engineering, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Machine Learning, Algorithms

    Intermediate · Course · 1 - 3 Months

Searches related to 教学方法

生物信息学: 导论与方法
bioinformatics: introduction and methods 生物信息学: 导论与方法
1…107108109…112

In summary, here are 10 of our most popular 教学方法 courses

  • Statistical Learning for Engineering Part 2: Northeastern University
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
  • Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
  • Observability in Google Cloud - 日本語版: Google Cloud
  • Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
  • Reliable Cloud Infrastructure: Design and Process - 繁體中文: Google Cloud
  • Introduction to Linear Regression Training : Simplilearn
  • Google Cloud Customer Care Fundamentals - 简体中文: Google Cloud
  • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud

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