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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.


More to explore:

Popular Applied Machine Learning Courses and Certifications


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    Board Infinity

    AI & Automation for Supply Chain Resilience

    Skills you'll gain: Inventory and Warehousing, Supply Chain Management, Business Continuity, Forecasting, Predictive Analytics, Logistics, Automation, Logistics Management, Real Time Data, Risk Mitigation, Risk Management, Case Studies, Business Ethics, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Advanced · Course · 1 - 4 Weeks

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    Packt

    AI & Quantum Computing – Zero to Expert Bootcamp

    Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Supervised Learning, Climate Change Mitigation, Anomaly Detection, Environment, Public Policies

    4.1
    Rating, 4.1 out of 5 stars
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    7 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Packt

    Recommender Systems

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Validate LLM Embeddings for Production Use

    Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Decision Tree Learning, Data Preprocessing, Analytical Skills, Python Programming, Unsupervised Learning, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    IBM & Darden Digital Strategy

    Skills you'll gain: Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Cloud Deployment, Business Transformation, Responsible AI, Cloud Security, Statistical Visualization, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Computing, Apache Hadoop, Product Lifecycle Management, Generative AI, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    50K reviews

    Beginner · Specialization · 3 - 6 Months

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    Universitat Politècnica de València

    Basic Math: Derivatives

    Skills you'll gain: Calculus, Algebra, Derivatives, Applied Mathematics, Mathematical Theory & Analysis, Trigonometry, Geometry, Graphing

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • AI & Automation for Supply Chain Resilience: Board Infinity
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • AI & Quantum Computing – Zero to Expert Bootcamp: Packt
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
  • IBM Data Analyst: IBM
  • Recommender Systems: Packt
  • Validate LLM Embeddings for Production Use: Coursera
  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • IBM & Darden Digital Strategy: IBM

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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