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  • 機器學習基石下 Machine Learning Foundations Algorithmic Foundations

Results for "機器學習基石下 (machine learning foundations)---algorithmic foundations"


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    327 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Artificial Intelligence, Simulations, Logical Reasoning, Computer Vision, Computer Science, Programming Principles, Computational Thinking, Algorithms, Game Theory, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版

    Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Algorithms, Data Mining, Classification And Regression Tree (CART), Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    194 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Computational Logic, Supervised Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    ·
    321 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Simplilearn

    Foundations of Generative AI Models

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Prompt Engineering, Large Language Modeling, Real Time Data, Deep Learning, Scalability, Responsible AI, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 機器學習基石下 (machine learning foundations)---algorithmic foundations courses

  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Machine Learning for Data Analysis: Wesleyan University
  • Developing Machine Learning Solutions: Amazon Web Services
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Machine Learning: an overview: Politecnico di Milano
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • Create Machine Learning Models in Microsoft Azure: Microsoft

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