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    Results for "introduction to machine learning"

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      860 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      McMaster University

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

      Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Curiosity, Cognitive flexibility

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Keras (Neural Network Library), Supervised Learning, Feature Engineering, Generative AI, Reinforcement Learning, Deep Learning, Natural Language Processing, Generative AI Agents, Applied Machine Learning, Image Analysis, Data Manipulation, Tensorflow, OpenAI, Verification And Validation, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Reinforcement Learning, Deep Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Natural Language Processing, Time Series Analysis and Forecasting, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to Thermodynamics: Transferring Energy from Here to There

      Skills you'll gain: Mechanical Engineering, Thermal Management, HVAC, Engineering, Energy and Utilities, Physics, Engineering Analysis, Plant Operations and Management, Process Analysis, Environmental Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

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

    • Machine Learning: University of Washington
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Applied Machine Learning in Python: University of Michigan
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • IBM Generative AI Engineering: IBM
    • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University
    • IBM AI Engineering: IBM
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM

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