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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


  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, Data Processing, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Risk Modeling, Financial Modeling, Portfolio Management, Model Optimization, Market Dynamics, Machine Learning, Machine Learning Algorithms

    3.6
    Rating, 3.6 out of 5 stars
    ·
    134 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Columbia University

    Blended Learning Toolkit

    Skills you'll gain: Digital pedagogy, Blended Learning, Education Software and Technology, Student Engagement, Learning Management Systems, Digital Transformation, Collaborative Software, Curriculum Development, Teaching, digital literacy, Content Management Systems, Web Design and Development, Web Presence, Content Management, Planning, Research, Auditing

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Irvine

    Introduction to Learning Transfer and Life Long Learning (3L)

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Knowledge Transfer, On-The-Job Training, Learning Theory, Motivational Skills, Lifelong Learning, Willingness To Learn, Human Learning, Organizational Change, Performance Measurement, Change Management, Learning Strategies, Overcoming Obstacles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    232 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    E-Learning Development for Trainers

    Skills you'll gain: Learning Management Systems, Surveys, Course Development, Metadata Management, Training and Development, Instructional Design, Dashboard, Interactive Learning, System Configuration, Information Architecture, Digital Content, Content Development and Management, Content Management Systems, Education Software and Technology, Content Management, Management Training And Development, Interactive Design, Multimedia

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Custom Deep Learning Model Architecture

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Model Optimization, Deep Learning, Generative Model Architectures, Computer Vision, Artificial Neural Networks, Generative Adversarial Networks (GANs), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Autoencoders, Network Architecture, Model Evaluation, Debugging

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Mastering Classic Reinforcement Learning Algorithms

    Skills you'll gain: Reinforcement Learning, Markov Model, Machine Learning Algorithms, Decision Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Statistical Machine Learning, Theoretical Computer Science, Sampling (Statistics), Applied Mathematics, Model Optimization, Probability Distribution, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Model Optimization, Markov Model, Securities Trading, Model Deployment, Risk Management

    3.4
    Rating, 3.4 out of 5 stars
    ·
    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free
    Free
    G

    Google Cloud

    Create Machine Images Using gcloud compute

    Skills you'll gain: Virtual Machines, Virtualization and Virtual Machines, Cloud Infrastructure, Google Cloud Platform, Infrastructure As A Service (IaaS), Virtualization, Cloud Computing, Cloud Management, Command-Line Interface, System Configuration, Configuration Management

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering (Part 2)

    Skills you'll gain: Mathematical Modeling, Engineering Calculations, Integral Calculus, Applied Mathematics, Engineering Analysis, Advanced Mathematics, Calculus, Mathematical Theory & Analysis, Differential Equations, Mechanics, Trigonometry, Engineering, Geometry, Electrical Engineering

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, Agentic systems, Jupyter

    Intermediate · Course · 1 - 3 Months

1…464748…834

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

  • Databricks ML in Action: Packt
  • Reinforcement Learning in Finance: New York University
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Blended Learning Toolkit: Columbia University
  • Introduction to Learning Transfer and Life Long Learning (3L): University of California, Irvine
  • E-Learning Development for Trainers: EDUCBA
  • Custom Deep Learning Model Architecture: Coursera
  • Mastering Classic Reinforcement Learning Algorithms: University of Colorado Boulder
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Create Machine Images Using gcloud compute: Google Cloud

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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