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    Results for "formal learning"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      739 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K 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
      ·
      890 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Image Segmentation

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      217 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Regression Analysis, Network Architecture, Network Model, Predictive Modeling, Natural Language Processing, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EIT Digital

      Quantitative Formal Modeling and Worst-Case Performance Analysis

      Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Communication

      4.4
      Rating, 4.4 out of 5 stars
      ·
      44 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      93 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    1…131415…466

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

    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Introduction to Embedded Machine Learning: Edge Impulse
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Introduction to Deep Learning & Neural Networks with Keras: IBM

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