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  • 跨学科思维

Results for "跨学科思维"


  • Status: Free
    Free
    C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: OpenAI, Large Language Modeling, Real Time Data, Performance Testing, LLM Application, Data Manipulation, Generative AI, Python Programming, Customer Analysis, Data Analysis, Machine Learning, JSON

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, Data Processing, NoSQL, Data Migration, Data Analysis, Query Languages, Data Structures, Network Analysis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Database Fundamentals

    Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Database Management Systems, Relational Databases, SQL, Database Design, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, LLM Application, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Node.JS, Machine Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Wearable Technologies and Sports Analytics

    Skills you'll gain: Exercise Science, Sports Medicine, Injury Prevention, Athletic Training, Physiology, Analytics, Data Analysis, Advanced Analytics, Data-Driven Decision-Making, Medical Equipment and Technology, Vital Signs, Health Technology, Python Programming, Machine Learning, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Medical Science and Research, Unsupervised Learning, Program Development

    3
    Rating, 3 out of 5 stars
    ·
    29 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Elastic Cloud Infrastructure: Scaling and Automation 日本語版

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Terraform, Cloud Computing Architecture, Infrastructure as Code (IaC), Cloud-Native Computing, Managed Services, Load Balancing, Virtual Machines, Network Infrastructure, Cloud Security, Virtual Private Networks (VPN), Servers, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Prompt Engineering, Creative Problem-Solving, Machine Learning, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    123 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

    3.2
    Rating, 3.2 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular 跨学科思维 courses

  • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera
  • MongoDB Aggregation Framework: MongoDB Inc.
  • Vector Database Fundamentals: IBM
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Wearable Technologies and Sports Analytics: University of Michigan
  • Health Data Science Foundation: University of Illinois Urbana-Champaign
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Machine Learning Using SAS Viya: SAS
  • Elastic Cloud Infrastructure: Scaling and Automation 日本語版: Google Cloud

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