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  • Machine Learning Fundamentals

Results for "machine learning fundamentals"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model

    4.3
    Rating, 4.3 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 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
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    647 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 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, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

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

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

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

  • Foundations of Neural Networks: Johns Hopkins University
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Foundational Mathematics for AI: Johns Hopkins University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
  • Practical Machine Learning: Johns Hopkins University
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Machine Learning in Production: DeepLearning.AI
  • Advanced Machine Learning Techniques: Coursera
  • Developing Machine Learning Solutions: Amazon Web Services

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