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    Results for "formal learning"

    • 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
      ·
      888 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 Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

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

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

      Intermediate · Course · 1 - 3 Months

    • 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), Reinforcement Learning, Deep Learning, Unsupervised Learning, Machine Learning Methods, Generative AI, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Artificial Intelligence, Machine Learning, Natural Language Processing, Predictive Modeling, Machine Learning Algorithms, Probability & Statistics, Network Architecture, Supervised Learning

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

      Intermediate · Professional Certificate · 3 - 6 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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      601 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      811 reviews

      Beginner · Guided Project · Less Than 2 Hours

    1…131415…465

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

    • 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
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Quantitative Formal Modeling and Worst-Case Performance Analysis: EIT Digital
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Exploratory Data Analysis for Machine Learning: IBM

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