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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
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    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    353 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    445 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    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
    ·
    932 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Computer Vision, Image Analysis, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Machine Learning Algorithms, Generative Model Architectures, Performance Tuning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 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
    ·
    322 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Applied Machine Learning, Machine Learning, Natural Language Processing, Automation

    4.1
    Rating, 4.1 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Neural Networks, Computer Vision, Artificial Intelligence, Supervised Learning, Deep Learning, Image Analysis, Machine Learning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Supervised Learning, Artificial Intelligence, Data Science, Data Processing, Computer Vision, Reinforcement Learning

    3.3
    Rating, 3.3 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

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1…567…834

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

  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Unsupervised Machine Learning: IBM
  • Supervised Machine Learning: Classification: IBM
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Deep Learning: University of Colorado Boulder
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Getting Started with Machine Learning at the Edge on Arm: Arm

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