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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


  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Applied Cryptography

    Skills you'll gain: Cryptography, Encryption, Data Security, Cybersecurity, Network Security, Public Key Infrastructure, Data Encryption Standard, Security Engineering, Blockchain, Data Storage Technologies, Wireless Networks, Security Management, Virtual Private Networks (VPN), Intellectual Property, Authentications, Hardware Architecture, Emerging Technologies

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    416 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    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, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Model Deployment, Applied Machine Learning, Machine Learning, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science with R

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Exploratory Data Analysis, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Relational Databases, Statistical Analysis, Data Analysis, Ggplot2, Model Evaluation, Data Presentation, SQL, Plot (Graphics), Data Manipulation, Web Scraping, R Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Productivity, Creativity, Self-Discipline, Stress Management, Self-Awareness, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    203 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    G

    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, Data Processing, Data Management, Data Storage Technologies, Data Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Embeddings, Applied Machine Learning, Data Strategy, Data Quality, MLOps (Machine Learning Operations), Cloud Deployment, Unsupervised Learning, Data Cleansing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Cyber Security: Applied Cryptography: Macquarie University
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Applied Data Science with R: IBM
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Data Science Challenge: Coursera
  • MLOps in R: Deploying machine learning models using vetiver: 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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