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    Results for "interdisciplinary thinking"

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      GenAI for Product R&D Teams

      Skills you'll gain: Generative AI, Innovation, New Product Development, Product Development, Ideation, Design Thinking, Process Optimization, Prompt Engineering, Ethical Standards And Conduct, Cross-Functional Collaboration, Project Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      V

      Vanderbilt University

      The History and Relevance of the Rise of Generative AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Emerging Technologies, Large Language Modeling, Deep Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Deep Learning Essentials

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Data Processing, Artificial Neural Networks, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      UBITS

      Maneja objeciones y clientes difíciles en retail

      Skills you'll gain: Overcoming Objections, Active Listening, Customer experience improvement, Customer Complaint Resolution, Customer Retention, Customer Service, Verbal Communication Skills, Interviewing Skills, Assertiveness, Empathy, Conflict Management, Productivity, Emotional Intelligence, Problem Solving

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Image Generation with AI Training Course

      Skills you'll gain: Generative AI, Prompt Engineering, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Deep Learning, Natural Language Processing, Dimensionality Reduction

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Washington

      머신 러닝 기초: 사례 연구 접근 방식

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Image Analysis, Unsupervised Learning, Text Mining, Natural Language Processing, Data Mining

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      F

      Fractal Analytics

      How to Build a Diffusion Model - An Introduction

      Skills you'll gain: Generative AI, Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Image Analysis, Software Architecture, Artificial Neural Networks, Machine Learning, Natural Language Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      M

      Macquarie University

      전략적 경영으로 경쟁우위 선점하기

      Skills you'll gain: Business Strategy, Strategic Thinking, Growth Strategies, Business Strategies, Competitive Analysis, Corporate Strategy, Strategic Marketing, Value Propositions, Organizational Strategy, Customer Analysis, Market Analysis, Market Share, Strategic Decision-Making, Market Opportunities, New Product Development, Market Dynamics, Innovation

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Intro to TensorFlow 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Jupyter, Data Pipelines, Deep Learning, Machine Learning Methods, Feature Engineering, Applied Machine Learning, Data Import/Export, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Machine Learning e Data Mining in R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Data Mining, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Statistical Analysis, Data Visualization Software, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Scrimba

      JavaScript Interview Questions for Junior Developers

      Skills you'll gain: Data Validation, Maintainability, Javascript, Computational Thinking, Data Structures, Debugging, Data Integrity, Performance Tuning, Web Development, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Nurturing Entrepreneurial Mindsets

      Skills you'll gain: Needs Assessment, Entrepreneurship, Growth Mindedness, Innovation, Community Development, Initiative and Leadership, Design Thinking, Leadership Development, Storytelling

      Beginner · Course · 1 - 4 Weeks

    1…170171172…195

    In summary, here are 10 of our most popular interdisciplinary thinking courses

    • GenAI for Product R&D Teams: Coursera Instructor Network
    • The History and Relevance of the Rise of Generative AI: Vanderbilt University
    • Deep Learning Essentials: University of Pennsylvania
    • Maneja objeciones y clientes difíciles en retail: UBITS
    • Image Generation with AI Training Course: Simplilearn
    • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
    • How to Build a Diffusion Model - An Introduction: Fractal Analytics
    • 전략적 경영으로 경쟁우위 선점하기: Macquarie University
    • Intro to TensorFlow 日本語版: Google Cloud
    • Machine Learning e Data Mining in R: Università di Napoli Federico II

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