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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Device-based Models with TensorFlow Lite

      Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      653 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Algorithms, System Design and Implementation, Solution Design, Data-Driven Decision-Making, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      825 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Public Cloud, Business Transformation, Containerization, Technology Strategies, Cloud-Native Computing, Multi-Cloud, Machine Learning, Data Strategy, Data Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Logistic Regression with NumPy and Python

      Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      394 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Tools: MLflow and Hugging Face

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)

      3.6
      Rating, 3.6 out of 5 stars
      ·
      57 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Implement & Evaluate Random Forests for ML

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

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Machine Learning Methods, Generative AI, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

      4.8
      Rating, 4.8 out of 5 stars
      ·
      861 reviews

      Mixed · Course · 1 - 3 Months

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

    • Explainable AI (XAI): Duke University
    • Device-based Models with TensorFlow Lite: DeepLearning.AI
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Recommender Systems: University of Minnesota
    • Digital Transformation Using AI/ML with Google Cloud: Google Cloud
    • AI and Public Health: DeepLearning.AI
    • Logistic Regression with NumPy and Python: Coursera Project Network
    • Data Science Fundamentals, Part 2: Pearson
    • Python: Logistic Regression & Supervised ML: EDUCBA
    • MLOps Tools: MLflow and Hugging Face: Duke University

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