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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


  • J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Data Visualization with Python

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Geospatial Information and Technology, Histogram, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Skills you'll gain: Program Development, Debugging

    Beginner · Course · 1 - 4 Weeks

  • A

    Arizona State University

    总计划案 Final Project

    Skills you'll gain: English Language, Business Writing, Product Planning, Marketing Budgets, Business Communication, Project Documentation, Presentations, Management Reporting, Business Planning, New Product Development, Budgeting, Project Coordination, Market Analysis

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build Testable Python Packages for AI

    Skills you'll gain: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of London

    Geometry and Calculus for Computing

    Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Intermediate · Course · 1 - 4 Weeks

  • R

    Rutgers the State University of New Jersey

    Supply Chain Management

    Skills you'll gain: Strategic Sourcing, Lean Six Sigma, Lean Manufacturing, Demand Planning, Procurement, Supplier Relationship Management, Forecasting, Lean Methodologies, Process Improvement, Supplier Management, Operations Management, Purchasing, Production Process, Supply Management, Supply Chain, Warehouse Management, Supply Chain Planning, Inventory and Warehousing, Inventory Management System, Logistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Embeddings, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    806 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • V

    Voxy

    Intermediate English: Multichannel Communication

    Skills you'll gain: Business Correspondence, Verbal Communication Skills, Business Communication, English Language, Business Writing, Telephone Skills, Active Listening, Communication, Social Media, Vocabulary, Grammar

    Intermediate · Course · 1 - 3 Months

  • U
    D

    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Genomic Data Science: Johns Hopkins University
  • Data Visualization with Python: IBM
  • Implement Hand Gesture Recognition with OpenCV: EDUCBA
  • 总计划案 Final Project: Arizona State University
  • Build Testable Python Packages for AI: Coursera
  • Geometry and Calculus for Computing: University of London
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Supply Chain Management: Rutgers the State University of New Jersey
  • IBM RAG and Agentic AI: IBM
  • Tweet Emotion Recognition with TensorFlow: Coursera

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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