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  • Learning Theory

个结果,搜索词为 "learning theory"


  • P

    Pearson

    Learning Deep Learning: Unit 3

    您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    中级 · 课程 · 1-4 周

  • U

    University of Alberta

    基于样本的学习方法

    您将获得的技能: 算法, 抽样(统计), 模拟, 人工智能和机器学习(AI/ML), 强化学习, 概率分布, 机器学习算法, 机器学习

    4.8
    评分, 4.8 星,最高 5 星
    ·
    1255 条评论

    中级 · 课程 · 1-3 个月

  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    混合 · 课程 · 1-4 周

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    您将获得的技能: Feature Engineering, Statistical Methods, Model Evaluation

    中级 · 课程 · 1-3 个月

  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    您将获得的技能: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    评分, 4.9 星,最高 5 星
    ·
    331 条评论

    中级 · 课程 · 1-3 个月

  • P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    中级 · 课程 · 1-3 个月

  • U

    University of Colorado Boulder

    Classification Analysis

    您将获得的技能: Classification Algorithms, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Predictive Modeling, Feature Engineering, Data Preprocessing, Bayesian Statistics

    5
    评分, 5 星,最高 5 星
    ·
    7 条评论

    中级 · 课程 · 1-3 个月

  • N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    您将获得的技能: Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning, Machine Learning, Random Forest Algorithm, Classification Algorithms, Decision Tree Learning, Embeddings, Model Evaluation, Feature Engineering, Dimensionality Reduction, Regression Analysis

    4.9
    评分, 4.9 星,最高 5 星
    ·
    35 条评论

    中级 · 课程 · 3-6 个月

  • U

    University of Colorado Boulder

    Resampling, Selection and Splines

    您将获得的技能: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Machine Learning Methods, Statistics, Predictive Modeling, Applied Mathematics, Logistic Regression, Probability Distribution

    攻读学位

    5
    评分, 5 星,最高 5 星
    ·
    8 条评论

    中级 · 课程 · 1-3 个月

  • M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    您将获得的技能: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    初级 · 课程 · 1-3 个月

  • P

    Packt

    Intermediate Data Manipulation and Machine Learning

    您将获得的技能: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation

    中级 · 课程 · 3-6 个月

  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    初级 · 课程 · 1-4 周

与 learning theory 相关的搜索

adult learning theory
machine learning theory
machine learning: theory and hands-on practice with python
machine learning: theory and hands-on practice with python specialization
statistical learning theory
人工智慧:機器學習與理論基礎 (artificial intelligence - learning & theory)
1…8910…733

总之,以下是 10 最受欢迎的 learning theory 课程

  • Learning Deep Learning: Unit 3: Pearson
  • 基于样本的学习方法: University of Alberta
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Classification Analysis: University of Colorado Boulder
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Complete Visual Guide to Machine Learning: Maven Analytics

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