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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

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Product Owner

    Skills you'll gain: AI Product Strategy, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Responsible AI, Generative AI, Kanban Principles, Product Roadmaps, Virtual Teams, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Management, ChatGPT, Stakeholder Management, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter

    4.3
    Rating, 4.3 out of 5 stars
    ·
    102 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Machine Learning Methods, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM DevOps, Cloud, and Agile Foundations

    Skills you'll gain: Agile Software Development, Cloud Computing Architecture, Cloud Services, Cloud Deployment, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, Sprint Planning, CI/CD, Test Driven Development (TDD), Scrum (Software Development)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.4
    Rating, 3.4 out of 5 stars
    ·
    102 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Artificial Intelligence, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    383 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Digital health

    Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, digital literacy, Interoperability, Public Health, Epidemiology, Big Data, Machine Learning, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    258 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • LangGraph Framework: Coursera
  • IBM Product Owner: IBM
  • Essential Causal Inference Techniques for Data Science: Coursera
  • AI for Cybersecurity: Johns Hopkins University
  • Create a Superhero Name Generator with TensorFlow: Coursera
  • IBM DevOps, Cloud, and Agile Foundations: IBM
  • Causal Inference: Columbia University
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • Generative AI and LLMs: Architecture and Data Preparation: IBM

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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