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  • 机器学习软件

Results for "机器学习软件"


  • 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: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Tensorflow, Data Transformation, Data Processing, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering em Português Brasileiro

    Skills you'll gain: Feature Engineering, Tensorflow, Data Processing, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Transformation, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Responsible AI: Applying AI Principles with GC - 简体中文

    Skills you'll gain: Responsible AI, Data Ethics, Business Ethics, Artificial Intelligence, AI Product Strategy, Governance, Regulatory Compliance, Compliance Auditing, Accountability, Auditing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), AWS SageMaker, PyTorch (Machine Learning Library), CI/CD, Prompt Engineering, Applied Machine Learning, Application Deployment, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning, Deep Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    P

    Pearson

    AWS Certified AI Practitioner (AIF-C01)

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Application Deployment, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Governance, Data Security, Business Metrics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 5

    Skills you'll gain: Responsible AI, Histogram, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Development Environment, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular 机器学习软件 courses

  • TFX on Google Cloud Vertex Pipelines: Google Cloud
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Feature Engineering en Español: Google Cloud
  • Feature Engineering em Português Brasileiro: Google Cloud
  • Object Localization with TensorFlow: Coursera
  • Responsible AI: Applying AI Principles with GC - 简体中文: Google Cloud
  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Ethical Issues in Computing Applications: University of Colorado Boulder
  • AWS Certified AI Practitioner (AIF-C01): Pearson
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University

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