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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: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management, Project Documentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Ethics in the Age of AI

    Skills you'll gain: Data Ethics, Responsible AI, Model Evaluation, Predictive Modeling, AI Security, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Information Privacy, Artificial Intelligence, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Data Preprocessing, Personally Identifiable Information, Machine Learning Algorithms, Analytical Skills, AI Enablement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    888 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    438 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    C

    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google AI Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Enablement, AI Security, Risking, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Evaluation, Process Optimization, Operational Efficiency, Emerging Technologies, Data Security, Critical Thinking, Analysis, Natural Language Processing, Innovation, Data-Driven Decision-Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings, Feature Engineering, Data Preprocessing, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, AI Workflows, Predictive Modeling, Artificial Intelligence, Responsible AI, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    190 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Generative AI for Data Engineers: IBM
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Google Advanced Data Analytics Capstone: Google
  • Ethics in the Age of AI: LearnQuest
  • Linear Regression with Python: Coursera
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Google AI Essentials: Google

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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