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  • Machine Learning

自动化学徒课程

自动学徒课程可帮助您了解如何构建、生成和分析预判定模型。您可以培养在数据准备、算法选择、优化和评估方面的能力。许多课程利用有源数据库测试模型。


自动学徒课程和通用证书


  • P

    Packt

    AI Product Management: The Complete Handbook

    您将获得的技能: AI Product Strategy, Product Management, Commercialization, Technical Product Management, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Responsible AI, Digital Transformation, Team Performance Management, Machine Learning, Data-Driven Decision-Making, Deep Learning, User Feedback

    初级 · 课程 · 3-6 个月

  • C

    Coursera

    Learn to Choose the Right ML Model

    您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    中级 · 课程 · 1-4 周

  • U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    您将获得的技能: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    您将获得的技能: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    您将获得的技能: Prompt Engineering, Embeddings, Transfer Learning, Large Language Modeling, Small Data, Fraud detection, Applied Machine Learning, Model Evaluation, Machine Learning, Natural Language Processing

    中级 · 课程 · 1-4 周

  • P

    Packt

    Decoding Large Language Models

    您将获得的技能: Large Language Modeling, LLM Application, Model Deployment, AI Enablement, Transfer Learning, Prompt Engineering, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), Responsible AI, Scalability, Machine Learning, Performance Tuning, Systems Integration

    高级设置 · 课程 · 3-6 个月

  • P

    Packt

    Accelerate Model Training with PyTorch 2.X

    您将获得的技能: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Evaluation, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture

    初级 · 课程 · 1-3 个月

  • N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    您将获得的技能: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    混合 · 课程 · 1-3 个月

  • R

    Real Madrid Graduate School Universidad Europea

    Future of data and technology in football

    您将获得的技能: Applied Machine Learning, Image Analysis, Computer Vision, Analytics, Real Time Data, AI Enablement, Reinforcement Learning, Large Language Modeling, Advanced Analytics, Data-Driven Decision-Making, AI Workflows, Machine Learning, Artificial Intelligence, Analysis, Automation, Supervised Learning, Natural Language Processing, Data Presentation, Innovation, Data Collection

    初级 · 课程 · 1-4 周

  • S

    Simplilearn

    Introduction to Linear Regression Training

    您将获得的技能: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    初级 · 课程 · 1-4 周

  • C

    Coursera

    Track and Evaluate ML Model Experiments

    您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation

    中级 · 课程 · 1-4 周

  • E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    您将获得的技能: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    混合 · 课程 · 1-4 周

1…777879…83

总之,以下是 10 最受欢迎的 machine learning 课程

  • AI Product Management: The Complete Handbook: Packt
  • Learn to Choose the Right ML Model: Coursera
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Zero-Shot & Few-Shot Learning: Master AI with Minimal Data: Coursera
  • Decoding Large Language Models: Packt
  • Accelerate Model Training with PyTorch 2.X: Packt
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Future of data and technology in football : Real Madrid Graduate School Universidad Europea
  • Introduction to Linear Regression Training : Simplilearn

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