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  • Machine Learning Methods

Results for "machine learning methods"


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    T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-2

    Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Materials science

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    C

    Coursera

    Track and Evaluate ML Model Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Deep Learning in Electronic Health Records

    Skills you'll gain: Deep Learning, Data Preprocessing, Autoencoders, Machine Learning Methods, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Medical Records, Model Optimization, Health Informatics, Electocardiography, Electronic Medical Record, Predictive Modeling, Embeddings, Applied Machine Learning, Data Cleansing, Time Series Analysis and Forecasting, Dimensionality Reduction, Model Evaluation

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Empathy & Emotional Intelligence, Pedagogy, Compassion, Empathy, Tenacity, Personal Development, Persistence, Relationship Building

    4.7
    Rating, 4.7 out of 5 stars
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    716 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Validate, Analyze, and Monitor ML Models

    Skills you'll gain: Decision Intelligence, Verification And Validation, Release Management, Maintainability, Machine Learning, Experimentation, Performance Testing, Benchmarking, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

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    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Data Integrity, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Debug ML Code: Fix, Trace & Evaluate

    Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Data Integrity

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Containerization, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Develop Clustering Models with Azure ML Designer

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Modeling, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

    4.9
    Rating, 4.9 out of 5 stars
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    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo
  • Track and Evaluate ML Model Experiments: Coursera
  • Deep Learning in Electronic Health Records: University of Glasgow
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • The Teacher's Social and Emotional Learning: University of Colorado Boulder
  • Validate, Analyze, and Monitor ML Models: Coursera
  • AutoML: Build ML Models without Code: Edureka
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Debug ML Code: Fix, Trace & Evaluate: Coursera

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