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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, Machine Learning, Model Deployment, Model Evaluation, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming

    Beginner · Course · 3 - 6 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, AI Workflows, Model Deployment, Big Data, Machine Learning, Prompt Engineering, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Autoencoders, Feature Engineering, Classification Algorithms, Data Cleansing, Keras (Neural Network Library), Statistical Inference, Time Series Analysis and Forecasting, Generative Adversarial Networks (GANs), Data Preprocessing, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Applied Machine Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

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

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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    284 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
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    103 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Natural Language Processing, MLOps (Machine Learning Operations), Convolutional Neural Networks, Deep Learning, Computer Vision, Image Analysis, Systems Architecture, Reinforcement Learning, Applied Machine Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Cloud Deployment, Embeddings, Big Data, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Machine 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
    ·
    725 reviews

    Intermediate · Course · 1 - 3 Months

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1…91011…834

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

  • Machine Learning Models in Science: LearnQuest
  • Introduction to AI and Machine Learning on GC - 한국어: Google Cloud
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • IBM Machine Learning: IBM
  • Machine Learning: University of Washington
  • Microsoft Azure Machine Learning: Microsoft
  • Mastering Machine Learning Algorithms using Python: Packt
  • Developing Machine Learning Solutions: Amazon Web Services
  • Foundations of ML & Python for Data Science: Packt

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