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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: New
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    E

    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Supervised Learning, NumPy, Predictive Analytics, Applied Machine Learning, Dimensionality Reduction, Random Forest Algorithm, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Tensorflow, Data Visualization Software, Python Programming, Data Science, Machine Learning, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Statistical Modeling, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
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    31K reviews

    Beginner · Course · 1 - 4 Weeks

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    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of London

    Machine Learning for All

    Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Machine Learning Methods, Ethical Standards And Conduct, Classification And Regression Tree (CART), Test Data, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    922 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Data Processing, Risk Mitigation, Algorithms, AI Product Strategy, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Analytical Skills, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

    3.4
    Rating, 3.4 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Mixed · 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

  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • Foundations of Machine Learning : Fractal Analytics
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Machine Learning for All: University of London
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Foundational Mathematics for AI: Johns Hopkins University
  • ML Algorithms: Whizlabs

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