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  • Learning Theory

个结果,搜索词为 "learning theory"


  • U

    Università di Napoli Federico II

    English for Business B1

    您将获得的技能: Presentations, Oral Expression, Business Communication, Business Correspondence, Verbal Communication Skills, Negotiation, Business Writing, English Language, Interviewing Skills, Data Visualization, Writing, Communication, Report Writing, Language Competency, Data Storytelling, Taking Meeting Minutes, Recruitment, Business Reporting, Interpersonal Communications, Oral Comprehension

    4.6
    评分, 4.6 星,最高 5 星
    ·
    31 条评论

    中级 · 课程 · 1-3 个月

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    中级 · 课程 · 1-3 个月

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    中级 · 课程 · 1-3 个月

  • J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    中级 · 课程 · 1-3 个月

  • U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    您将获得的技能: Scikit Learn (Machine Learning Library), Data Preprocessing

    4.1
    评分, 4.1 星,最高 5 星
    ·
    13 条评论

    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: Classification Algorithms, Supervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Applied Machine Learning, Data Preprocessing, Model Evaluation, Algorithms, Programming Principles, Regression Analysis, Feature Engineering, Statistical Methods

    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

  • P

    Pearson

    Learning Deep Learning: Unit 1

    您将获得的技能: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    中级 · 课程 · 1-4 周

  • U

    University of Alberta

    利用函数逼近进行预测和控制

    您将获得的技能: 机器学习, 深度学习, 线性代数, 概率分布, 机器学习算法, 功能工程, 人工神经网络, 监督学习, 伪代码, 强化学习

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

    中级 · 课程 · 1-3 个月

  • U

    University of Colorado Boulder

    回归与分类

    您将获得的技能: 机器学习, 统计建模, 模型评估, 回归分析, 机器学习算法, 预测建模, 分类算法, 无监督学习, 统计分析, Model Evaluation, 监督学习, 数据科学, 统计方法, R 程序设计

    攻读学位

    3.9
    评分, 3.9 星,最高 5 星
    ·
    16 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

  • U

    University of Colorado Boulder

    Classification Analysis

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

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

    中级 · 课程 · 1-3 个月

1…8910…742

总之,以下是 10 最受欢迎的 learning theory 课程

  • English for Business B1: Università di Napoli Federico II
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Introduction to Machine Learning: Supervised 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
  • Learning Deep Learning: Unit 1: Pearson
  • 利用函数逼近进行预测和控制: University of Alberta
  • 回归与分类: University of Colorado Boulder

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