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    Results for "fundamental concepts in machine learning"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      79 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The Chinese University of Hong Kong

      Fundamental Human Physiology in Sports Medicine

      Skills you'll gain: Pulmonology, Respiration, Cardiology, Anatomy, Kinesiology, Orthopedics, Neurology, Biology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Explainable Machine Learning (XAI)

      Skills you'll gain: Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Exploratory Data Analysis, Image Analysis, Machine Learning, Scatter Plots, Visualization (Computer Graphics), Deep Learning, Predictive Analytics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Reinforcement Learning from Human Feedback

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Reinforcement Learning, Performance Tuning, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Machine Learning and Deep Learning

      Skills you'll gain: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Application Frameworks, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Time Series Analysis and Forecasting, Data Processing

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      713 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Train Machine Learning Models

      Skills you'll gain: Jupyter, Unsupervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Statistical Modeling, Machine Learning Algorithms, Performance Tuning, Performance Metric, Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

      Skills you'll gain: Differentiated Instruction, Collaborative Software, Education Software and Technology, Pedagogy, Learning Management Systems, Digital Transformation, Emerging Technologies, Innovation, Multimedia, Digital Communications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Applied Machine Learning, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Kubernetes, Distributed Computing, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with Python in Business Analytics

      Skills you'll gain: Exploratory Data Analysis, Business Analytics, Machine Learning Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Predictive Modeling, Machine Learning, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Supervised Learning, Workflow Management

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular fundamental concepts in machine learning courses

    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Fundamental Human Physiology in Sports Medicine: The Chinese University of Hong Kong
    • Explainable Machine Learning (XAI): Duke University
    • Reinforcement Learning from Human Feedback: DeepLearning.AI
    • Advanced Machine Learning and Deep Learning: Packt
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Train Machine Learning Models: CertNexus
    • e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age: University of Illinois Urbana-Champaign
    • Machine Learning with PySpark: Edureka
    • Machine Learning: Clustering & Retrieval: University of Washington

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