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

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
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      N

      Northeastern University

      Machine Learning for Engineers: Algorithms and Applications

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      الشبكات العصبية والتعلم العميق

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Applied Machine Learning, Machine Learning, Network Architecture, Supervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      730 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Machine Learning Algorithms

      Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (IV)

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Computer Programming, System Design and Implementation, Computational Thinking

      2.7
      Rating, 2.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      606 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      Northeastern University

      Machine Learning in Healthcare: Fundamentals & Applications

      Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Health Care, Unsupervised Learning, Healthcare Industry Knowledge, Healthcare Ethics, Algorithms, Data Cleansing, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8 reviews

      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

    • Data for Machine Learning: Alberta Machine Intelligence Institute
    • Introduction to Machine Learning with Python: Arizona State University
    • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
    • الشبكات العصبية والتعلم العميق: DeepLearning.AI
    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Foundations and Core Concepts of PyTorch: Packt
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Advanced Machine Learning Algorithms: Fractal Analytics
    • Data Structures and Algorithms (IV): Tsinghua University

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