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  • Introduction To Machine Learning

Results for "introduction to machine learning"


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    N

    NVIDIA

    Introduction to Networking

    Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Planning And Design, Network Switches, System Requirements

    4.6
    Rating, 4.6 out of 5 stars
    ·
    675 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    319 reviews

    Beginner · Course · 1 - 3 Months

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    C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
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    20 reviews

    Intermediate · Course · 1 - 3 Months

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    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Computer Vision, Machine Learning Methods, Natural Language Processing, Scalability, Reinforcement Learning, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    150 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Cryptocurrency and Blockchain: An Introduction to Digital Currencies

    Skills you'll gain: Blockchain, Cryptography, Digital Assets, Investments, Portfolio Management, FinTech, Portfolio Risk, Asset Management, Financial Analysis, Financial Market, Emerging Technologies, Finance, Payment Systems, Encryption, Risk Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Train Machine Learning Models

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

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

  • Introduction to Networking: NVIDIA
  • Introduction to Generative AI : Google Cloud
  • Managing Machine Learning Projects: Duke University
  • Decision Making and Reinforcement Learning: Columbia University
  • An Introduction to Practical Deep Learning: Intel
  • Machine Learning in Retail: Coursera
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Advanced Machine Learning and Deep Learning: Packt
  • Cryptocurrency and Blockchain: An Introduction to Digital Currencies: University of Pennsylvania
  • Explainable Machine Learning (XAI): Duke University

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