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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
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Decision Tree Learning, Data Preprocessing, Analytical Skills, Python Programming, Unsupervised Learning, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Application of AI

    Skills you'll gain: Anomaly Detection, AI Security, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Network Analysis, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Deployment Scenarios with TensorFlow

    Skills you'll gain: Model Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Evaluation, Machine Learning, Information Privacy, Application Programming Interface (API), Artificial Neural Networks, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    510 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, AI Security, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, CI/CD, Natural Language Processing, Prototyping, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    186 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Introduction to Vertex AI

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Model Deployment, Google Cloud Platform, AI Enablement, Artificial Intelligence, Machine Learning, User Interface (UI), Cloud Computing, Complex Problem Solving, Scalability, Critical Thinking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Theoretical Computer Science, Logical Reasoning, Generative AI, Social Sciences, Bioinformatics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    639 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Object Localization with TensorFlow: Coursera
  • Build and deploy a stroke prediction model using R: Coursera
  • Cyber Security: Application of AI: Macquarie University
  • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
  • Generative AI for Software Developers: IBM
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Introduction to Vertex AI : Fractal Analytics
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México

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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