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    Results for "introduction to machine learning"

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Cloud Technologies, Microsoft Azure, Data Ethics, Data Pipelines, Pandas (Python Package), Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), CI/CD, Data Manipulation, Cloud Computing, Machine Learning, DevOps, Python Programming, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      491 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Decision Tree Learning, Classification And Regression Tree (CART), Data Ethics, Tensorflow, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Deep Learning, Supervised Learning, Artificial Neural Networks, Random Forest Algorithm, Algorithms, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Regulatory Compliance, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Technology Strategies, Business Intelligence, Data Ethics, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Sampling (Statistics), Supervised Learning, Deep Learning, System Design and Implementation, Markov Model, Algorithms, Simulations, Feature Engineering, Artificial Neural Networks, Game Design, Statistical Methods, Virtual Environment, Performance Tuning, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Structured Query Language (SQL)

      Skills you'll gain: Database Design, SQL, MySQL, Database Management, Relational Databases, Development Environment, Mockups, Data Modeling, Software Installation, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Microsoft Azure, Predictive Analytics, Machine Learning, MLOps (Machine Learning Operations), Supervised Learning, Classification And Regression Tree (CART), Unsupervised Learning, Regression Analysis, Automation, Data Pipelines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Data Processing, Systems Design, Machine Learning, Unstructured Data, Data Quality, Applied Machine Learning, Data Validation, Predictive Modeling, Feature Engineering, System Monitoring

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      M

      McMaster University

      Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

      Skills you'll gain: Lifelong Learning, Learning Strategies, Adaptability, Growth Mindedness, Productivity, Personal Development, Mentorship, Professional Development, Cognitive flexibility, Resilience, Self-Motivation, Overcoming Obstacles, Time Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Decision Tree Learning, Feature Engineering, Classification And Regression Tree (CART), Python Programming, Statistical Modeling, Regression Analysis, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Data Wrangling, Unsupervised Learning, Flask (Web Framework), Keras (Neural Network Library), Generative AI Agents, Feature Engineering, Predictive Modeling, Web Applications, Supervised Learning, PyTorch (Machine Learning Library), Deep Learning, Exploratory Data Analysis, Web Development, Data Manipulation, Natural Language Processing, Unit Testing, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • MLOps | Machine Learning Operations: Duke University
    • Advanced Learning Algorithms: DeepLearning.AI
    • Introduction to Generative AI Learning Path: Google Cloud
    • AI For Everyone: DeepLearning.AI
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Reinforcement Learning: University of Alberta
    • Introduction to Structured Query Language (SQL): University of Michigan
    • Microsoft Azure Machine Learning: Microsoft
    • Machine Learning in Production: DeepLearning.AI
    • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University

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