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  • 医学科学与研究

Results for "医学科学与研究"


  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Augmented Reality, Creative Problem-Solving, Creative Design, Data Ethics, Machine Learning, Deep Learning, Critical Thinking

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Ethical Issues in Computing Applications

    Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Responsible AI, Artificial Intelligence, Medical Privacy, Machine Learning, Automation, Emerging Technologies, Health Care, Cybersecurity, Medical Devices, Information Privacy, Safety Assurance, Biotechnology

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI-900 MS Azure AI Fundamentals

    Skills you'll gain: Responsible AI, Microsoft Azure, Artificial Intelligence, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, No-Code Development, Text Mining, Machine Learning, Supervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Snowflake for Data Science: Intro to Snowpark ML for Python

    Skills you'll gain: Snowflake Schema, Applied Machine Learning, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Processing, Data Science, Python Programming, Regression Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

    Skills you'll gain: Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Jupyter, Cloud API, Big Data, Machine Learning, Data Processing, Artificial Intelligence, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript 2: Model & Analyse

    Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Computer Programming, Algorithms, Software Development

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 医学科学与研究 courses

  • Machine Learning with PySpark: Recommender System: Coursera
  • Introduction to Creative AI: University of the Arts London
  • Databricks to Local LLMs: Duke University
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Ethical Issues in Computing Applications: University of Colorado Boulder
  • AI-900 MS Azure AI Fundamentals: EDUCBA
  • TFX on Google Cloud Vertex Pipelines: Google Cloud
  • Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Foundations of Data Science and Machine Learning with Python: Packt

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