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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


  • U

    University of Minnesota

    Enterprise Systems

    Skills you'll gain: Enterprise Resource Planning, Business Systems, Change Management, Business Technologies, Organizational Change, System Implementation, Business Process, Case Studies, Business Management, Business, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    840 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    Icahn School of Medicine at Mount Sinai

    Systems Biology and Biotechnology

    Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Research, Mathematical Modeling, Molecular Biology, Pharmacology, Science and Research, Cell Biology, Biotechnology, Biomedical Technology, Scientific Methods, Physiology, Differential Equations, Computational Logic, Biochemistry, Network Analysis, Biology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    989 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Data Mining Pipeline

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Preprocessing, Data Modeling, Data Management, Data Cleansing, Model Evaluation, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Quality, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • R

    Rice University

    Physics 101 - Forces and Kinematics

    Skills you'll gain: Mechanics, Problem Solving, Physics, Graphing, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Mechanical Engineering, Geometry, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    198 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Malware and Network Anomaly Detection

    Skills you'll gain: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Cyber Threat Hunting, Threat Detection, Network Analysis, AI Security, Applied Machine Learning, Model Evaluation, Network Security, Unsupervised Learning, Performance Testing, Analysis, Classification Algorithms, Microsoft Windows

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    Tecnológico de Monterrey

    Diseño instruccional para el aprendizaje activo

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Instructional Design, digital literacy, Educational Materials, Emerging Technologies, Learning Management Systems, Innovation, Resourcefulness, Learning Strategies, Creative Problem-Solving, Open Mindset

    4.7
    Rating, 4.7 out of 5 stars
    ·
    915 reviews

    Beginner · Course · 1 - 3 Months

  • T

    The University of Edinburgh

    How to Create an Online Course

    Skills you'll gain: Educational Materials, Learning Strategies, Instructional Design, Web Content Accessibility Guidelines, Learning Management Systems, Web Content, Digital pedagogy, Education Software and Technology, Diversity Awareness, User Centered Design, Creative Thinking, Content Management, Cultural Responsiveness

    4.5
    Rating, 4.5 out of 5 stars
    ·
    230 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Enterprise Systems: University of Minnesota
  • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
  • Data Mining Pipeline: University of Colorado Boulder
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • Physics 101 - Forces and Kinematics : Rice University
  • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
  • Advanced Malware and Network Anomaly Detection: Johns Hopkins 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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