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  • Applied Machine Learning

Applied Machine Learning Courses

Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Popular Applied Machine Learning Courses and Certifications


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    EDUCBA

    E-Learning Course Creation and Authoring

    Skills you'll gain: Learning Management Systems, Multimedia, Surveys, Interactive Learning, Information Architecture, Instructional Design, Instructional and Curriculum Design, Content Creation, Training and Development, Interactive Design, Digital Content, Education Software and Technology, Application Deployment, Content Management Systems, Digital Publishing, Content Management, System Configuration, Interaction Design, Design, Development Environment

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Illinois Urbana-Champaign

    Learning, Knowledge, and Human Development

    Skills you'll gain: Childhood Education and Development, Education Software and Technology, Education and Training, Human Learning, Child Development, School Psychology, Pedagogy, Human Development, Higher Education, Psychological Evaluations, Learning Theory, Psychology, Applied Behavior Analysis, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
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    294 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Reinforcement Learning: Qwik Start

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Game Design

    3.7
    Rating, 3.7 out of 5 stars
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    10 reviews

    Beginner · Project · Less Than 2 Hours

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    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
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    316 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Deep Learning and Modern AI Architectures

    Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning for Time Series Cookbook

    Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Deep Learning Model Engineering and Optimization

    Skills you'll gain: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Learning Technologies Foundations and Applications

    Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Digital pedagogy, Technology Solutions, Disabilities, Technology Strategies, Emerging Technologies, Gerontology

    4.5
    Rating, 4.5 out of 5 stars
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    197 reviews

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Deep Learning for AI Part 1

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    41 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • E-Learning Course Creation and Authoring: EDUCBA
  • Learning, Knowledge, and Human Development: University of Illinois Urbana-Champaign
  • Reinforcement Learning: Qwik Start: Google Cloud
  • Deep Learning for Computer Vision: MathWorks
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • Deep Learning and Modern AI Architectures: Coursera
  • Deep Learning with PyTorch: Coursera
  • Deep Learning for Time Series Cookbook: Packt
  • Deep Learning Model Engineering and Optimization: Coursera
  • Learning Technologies Foundations and Applications: University of Illinois Urbana-Champaign

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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