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  • Python交互式编程导论

Results for "python交互式编程导论"


  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Algorithms, Linear Algebra, Exploratory Data Analysis, NumPy, Statistical Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Shanghai Jiao Tong University

    杏林探宝——认知中药

    Skills you'll gain: Public Health and Disease Prevention, Preventative Care, Chronic Diseases, Pharmacology, Contraindication, Medication Therapy Management, Medical History Documentation, Nutrition and Diet, Treatment Planning, Patient Education And Counseling, Patient Safety, Ancient History, Drug Interaction, Clinical Nutrition

    4.6
    Rating, 4.6 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    現代文學導讀:詩、散文、小說

    Skills you'll gain: Liberal Arts, Writing, Storytelling, Aesthetics, World History

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    136 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Procesamiento de Imágenes

    Skills you'll gain: Image Analysis, Computer Vision, Python Programming, Color Theory, Spatial Analysis, NumPy, Algorithms, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data Integration and Processing

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Quantum Computing with Qiskit and Advanced Algorithms

    Skills you'll gain: Algorithms, Computer Hardware, Cryptography, Python Programming, Computer Programming, Computational Thinking, Emerging Technologies, Technical Documentation, Theoretical Computer Science, Linear Algebra, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular python交互式编程导论 courses

  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • 杏林探宝——认知中药: Shanghai Jiao Tong University
  • 現代文學導讀:詩、散文、小說: National Taiwan University
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • AI Workflow: Enterprise Model Deployment: IBM
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Procesamiento de Imágenes: Pontificia Universidad Católica de Chile

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