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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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    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Graphing, Scripting Languages, Data Visualization Software, Scalability, Code Reusability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Matlab, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

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    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Markov Model, Simulations, Integral Calculus, Correlation Analysis, Control Systems, Probability, Simulation and Simulation Software, Probability & Statistics, Statistical Methods, Applied Mathematics, Probability Distribution, Predictive Analytics, Engineering Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    36 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, DevOps, Application Lifecycle Management, Devops Tools, AI Workflows, Applied Machine Learning, Cloud Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

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    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Training, Regulatory Compliance, Model Training, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Machine Learning Software, Business Solutions, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Ethical Standards And Conduct, Model Evaluation, AI literacy, Data-Driven Decision-Making

    4.4
    Rating, 4.4 out of 5 stars
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    125 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

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    Board Infinity

    DevOps for Machine Learning: CI/CD, APIs & Deployment

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

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    McMaster University

    Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

    Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mental Concentration, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Digital pedagogy, Relationship Building

    4.8
    Rating, 4.8 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Julia Programming for Data Science and Machine Learning

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Statistical Visualization, Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Other Programming Languages, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, C (Programming Language), Machine Learning

    Intermediate · Course · 1 - 3 Months

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    Board Infinity

    Apply AI & Machine Learning to Financial Forecasting

    Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Financial Modeling, Advanced Analytics, Decision Intelligence, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Applied Kalman Filtering: University of Colorado System
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • Machine Learning with Small Data Part 2: Northeastern University
  • DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity
  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University

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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