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Results for "machine+learning+foundations"


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    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction

    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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    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
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    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Understand and Apply Artificial Intelligence Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 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
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    288 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

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

    4.7
    Rating, 4.7 out of 5 stars
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    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    S

    Starweaver

    GenAI Foundations for Professionals

    Skills you'll gain: Prompt Engineering, Responsible AI, ChatGPT, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, AI Personalization, Data Ethics, Emerging Technologies, Expectation Management, Decision Making, Verification And Validation, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Artificial Intelligence, Big Data, Model Deployment, Machine Learning, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
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    320 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
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    20 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

1234…9

In summary, here are 10 of our most popular machine+learning+foundations courses

  • Foundations of Neural Networks: Johns Hopkins University
  • Foundational Mathematics for AI: Johns Hopkins University
  • Foundations of AI and Machine Learning: Microsoft
  • Understand and Apply Artificial Intelligence Fundamentals: EDUCBA
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Fundamentals of Machine Learning: Whizlabs
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Microsoft Azure Machine Learning: Microsoft
  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • GenAI Foundations for Professionals: Starweaver

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