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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


  • Status: Preview
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    U

    University of London

    What future for education?

    Skills you'll gain: Learning Theory, Teaching, Human Learning, Pedagogy, Education and Training, Higher Education, Social Sciences, Policy Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    888 reviews

    Mixed · Course · 1 - 3 Months

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    É

    École Polytechnique

    Quantum Optics 1 : Single Photons

    Skills you'll gain: Physics, electromagnetics, Experimentation, Cryptography, Laboratory Research, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    337 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of California, Davis

    AI for Knowledge Workers

    Skills you'll gain: Prompt Engineering, Generative AI, Anthropic Claude, Responsible AI, ChatGPT, LLM Application, Data Ethics, AI Enablement, Artificial Intelligence, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
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    184 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Promote the Ethical Use of Data-Driven Technologies

    Skills you'll gain: Data Ethics, Responsible AI, Emerging Technologies, Business Ethics, Ethical Standards And Conduct, Big Data, Information Privacy, Personally Identifiable Information, Artificial Intelligence, Diversity and Inclusion, Decision Making, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    286 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning

    Beginner · Project · Less Than 2 Hours

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    S

    SkillsBooster Academy

    The Non-Coder’s Guide to Vibe Coding

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, No-Code Development, Presentations, Application Development, Generative AI, Web Applications, Automation, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Interactive Design, Digital Design, Creative Design, New Product Development, Creative Thinking, User Interface (UI) Design, Creativity, Application Deployment

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part I Basic Theory

    Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics

    4.7
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Secure Mobile AI Models Against Attacks

    Skills you'll gain: AI Security, Mobile Security, Model Deployment, Mobile Development, Continuous Monitoring, Application Security, Threat Modeling, Apple iOS, Security Requirements Analysis, System Monitoring, Encryption, Threat Management, Security Management, Information Privacy, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Data Literacy, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Statistical Analysis, Quantitative Research, Data Science, Theoretical Computer Science, Sample Size Determination, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    343 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    S

    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: LangChain, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Hugging Face, Model Evaluation, Transfer Learning, Supervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

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

  • What future for education?: University of London
  • Quantum Optics 1 : Single Photons: École Polytechnique
  • AI for Knowledge Workers: University of California, Davis
  • Promote the Ethical Use of Data-Driven Technologies: CertNexus
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • The Non-Coder’s Guide to Vibe Coding: SkillsBooster Academy
  • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
  • Secure Mobile AI Models Against Attacks: Coursera
  • Introduction to Logic and Critical Thinking: Duke University
  • Data Science Foundations: Statistical Inference: University of Colorado Boulder

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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