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  • Introduction To Machine Learning

Results for "introduction to machine learning"


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    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

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

    Intermediate · Course · 1 - 4 Weeks

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    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    815 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    SAS

    Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Deep Learning, Logistic Regression, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    282 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Machine Learning Algorithms using Python

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Science, Python Programming, Statistical Methods, Exploratory Data Analysis, Linear Algebra

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Image Analysis, Cloud Deployment, Hybrid Cloud Computing, Recurrent Neural Networks (RNNs), Systems Architecture, Performance Tuning, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    693 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
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    55 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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1…91011…834

In summary, here are 10 of our most popular introduction to machine learning courses

  • Mathematics for Machine Learning: PCA: Imperial College London
  • Fundamentals of Machine Learning in Finance: New York University
  • Supervised Machine Learning: Regression: IBM
  • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
  • IBM Machine Learning: IBM
  • Machine Learning: University of Washington
  • Microsoft Azure Machine Learning: Microsoft
  • Mastering Machine Learning Algorithms using Python: Packt
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Advanced Machine Learning on Google Cloud: Google Cloud

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