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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


  • 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: Trending in AI
    Trending in AI
    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

  • A

    AI CERTs

    Customer Service with AI

    Skills you'll gain: AI Personalization, AI Product Strategy, Customer Service, Customer Insights, Customer Analysis, AI Enablement, Customer Data Management, Customer experience strategy (CX), Customer and Client Support, Data Ethics, Customer Relationship Building, Customer Engagement, Customer Retention, Artificial Intelligence and Machine Learning (AI/ML), Customer Success Management, Generative AI Agents, Generative AI, Emerging Technologies

    Beginner · Course · 1 - 3 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

  • 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

  • C

    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Data Using R for Statistical and Predictive Modeling

    Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Huddersfield

    Integral Calculus & The Fundamental Theorem

    Skills you'll gain: Integral Calculus, Differential Equations, Calculus, Analytical Skills, Advanced Mathematics, Mathematical Theory & Analysis, Engineering Calculations, Engineering Analysis, Trigonometry, General Mathematics, Applied Mathematics, Mathematical Modeling, Derivatives

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Explain Black-Box Models

    Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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

  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Supply Chain Management: Rutgers the State University of New Jersey
  • IBM RAG and Agentic AI: IBM
  • Customer Service with AI: AI CERTs
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Object Oriented Programming in Java: University of California San Diego
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Analyze Data Using R for Statistical and Predictive Modeling: EDUCBA
  • Introduction to Mathematical Thinking: Stanford University
  • Integral Calculus & The Fundamental Theorem: University of Huddersfield

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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