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    Results for "machine learning foundations"

    • C

      Coursera Project Network

      Simple Linear Regression for the Absolute Beginner

      Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      63 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Introduction to Digital health

      Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Interoperability, Public Health, Epidemiology, Big Data, Digital Transformation, Health Information Management, Machine Learning, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      244 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering and Fine-Tuning Transformers

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      78 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Fundamentals of AI Agents Using RAG and LangChain

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Generative AI, Artificial Intelligence, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Impact, Considerations, and Ethical Issues

      Skills you'll gain: Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Artificial Intelligence, Environmental Social And Corporate Governance (ESG), Machine Learning, Intellectual Property, Information Privacy, Workforce Management, Workforce Development, Safety and Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      253 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Using Python to Interact with the Operating System

      Skills you'll gain: Bash (Scripting Language), Unit Testing, Scripting, Unix Shell, Shell Script, Linux Commands, Test Driven Development (TDD), Unix Commands, Unix, Scripting Languages, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, Automation, Debugging, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 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 and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn to code with AI

      Skills you'll gain: HTML and CSS, Web Development, GitHub, Front-End Web Development, Version Control, Mobile Development, Application Deployment, ChatGPT, Javascript, Responsive Web Design, Debugging, Cascading Style Sheets (CSS), Application Development, Database Application, Artificial Intelligence, Computer Programming, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Data Mining, ChatGPT, Applied Machine Learning, Anomaly Detection, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Data Pipelines, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Start Writing Prompts like a Pro

      Skills you'll gain: Prompt Engineering

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering en Español

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Modelos predictivos con aprendizaje automático

      Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Decision Tree Learning, Python Programming, Unsupervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…120121122…488

    In summary, here are 10 of our most popular machine learning foundations courses

    • Simple Linear Regression for the Absolute Beginner: Coursera Project Network
    • Introduction to Digital health: Imperial College London
    • Generative AI Engineering and Fine-Tuning Transformers: IBM
    • Fundamentals of AI Agents Using RAG and LangChain: IBM
    • Generative AI: Impact, Considerations, and Ethical Issues: IBM
    • Using Python to Interact with the Operating System: Google
    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Learn to code with AI: Scrimba
    • More Applied Data Science with Python: University of Michigan
    • Start Writing Prompts like a Pro: Google

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