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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


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    Sungkyunkwan University

    Using R for Regression and Machine Learning in Investment

    Skills you'll gain: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Risk Management, Logistic Regression

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado System

    Introduction to Applied Cryptography

    Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Key Management, Advanced Encryption Standard (AES), Encryption, Cryptographic Protocols, Public Key Cryptography Standards (PKCS), Brute-force attacks, Authentications, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
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    1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics, Python Programming, Model Training, Statistical Programming

    Intermediate · Course · 1 - 3 Months

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    Whizlabs

    Data Science and Machine Learning Engineering on Microsoft Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

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    Siemens

    Applied Computational Fluid Dynamics

    Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Energy and Utilities, Mathematical Modeling, Engineering, Mechanics, Physics

    4.7
    Rating, 4.7 out of 5 stars
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    184 reviews

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI literacy, Artificial Intelligence, AI Workflows, Cloud Infrastructure, Agentic systems, Applied Machine Learning, Model Training, Model Deployment, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Applied Fundamentals: Hangman

    Skills you'll gain: Video Game Development, Game Design, Project Planning, Program Development, User Interface (UI), Code Reusability, Python Programming, Development Environment, Programming Principles, Maintainability, Computer Programming

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
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    130 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    4
    Rating, 4 out of 5 stars
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    20 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Model Training, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Validation

    Beginner · Course · 1 - 3 Months

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    University of London

    Introduction to Applied Cryptography

    Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Public Key Infrastructure, Mobile Security, Data Integrity

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    77 reviews

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Embeddings, Fine-tuning, Supervised Learning, Deep Learning, Data Cleansing, Dataflow

    4.4
    Rating, 4.4 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Using R for Regression and Machine Learning in Investment: Sungkyunkwan University
  • Introduction to Applied Cryptography: University of Colorado System
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Data Science and Machine Learning Engineering on Microsoft Azure: Whizlabs
  • Applied Computational Fluid Dynamics: Siemens
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Applied Fundamentals: Hangman: Packt
  • Applied Python Data Engineering: Duke University
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt

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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