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  • 学习与教学理论

Results for "学习与教学理论"


  • G

    Google Cloud

    Working with Notebooks in Vertex AI

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    How to Use Data

    Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Verbal Communication Skills, Matplotlib, Data Storage, Data Science, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Deep Learning, Machine Learning, Supervised Learning, Algorithms, Regression Analysis

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    D

    Duke University

    Databricks to Local LLMs

    Skills you'll gain: Databricks, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, CI/CD, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Predictive Modeling, Health Informatics, Machine Learning, Unsupervised Learning, Feature Engineering, Medical Imaging, Python Programming, Dimensionality Reduction, Network Architecture

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Cervical Cancer Risk Prediction Using Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    TFX on Google Cloud Vertex Pipelines

    Skills you'll gain: Google Cloud Platform, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Kubernetes, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Network Model, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular 学习与教学理论 courses

  • Working with Notebooks in Vertex AI: Google Cloud
  • How to Use Data: University of Pennsylvania
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • Fundamentals of Natural Language Processing: University of Colorado Boulder
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Databricks to Local LLMs: Duke University
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Cervical Cancer Risk Prediction Using Machine Learning: Coursera
  • Interpretable machine learning applications: Part 3: Coursera
  • TFX on Google Cloud Vertex Pipelines: Google Cloud

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