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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


  • D

    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 (129) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

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

    ★ 4.7 (417) · Intermediate · Guided Project · Less Than 2 Hours

  • M

    Macquarie University

    Cyber Security: Applied Cryptography

    Skills you'll gain: Cryptography, Encryption, Network Security, Cybersecurity, Security Engineering, Network Protocols, Federated Learning, Security Management

    ★ 4.8 (13) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • 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, Model Training, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Validation

    Beginner · Course · 1 - 3 Months

  • G

    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 (21) · Beginner · Course · 1 - 3 Months

    Category: 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, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    ★ 3.9 (19) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • G

    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 (152) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

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

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

    ★ 4.6 (22) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Italiano

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

    Beginner · Course · 1 - 3 Months

  • A

    Arizona State University

    Professional Skills: Applied Empathy

    Skills you'll gain: Empathy, Emotional Intelligence, Active Listening, Empathy & Emotional Intelligence, Compassion, Personal Development, Recognizing Others, Self-Awareness, Verbal Communication Skills, Interpersonal Communications, Relationship Building, Mindfulness, Resilience, Leadership, Conflict Management

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Model Training, Google Cloud Platform, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Machine Learning, Machine Learning Methods, Embeddings, Cloud Deployment, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow

    ★ 4.7 (92) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
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In summary, here are 10 of our most popular applied machine learning courses

  • Applied Python Data Engineering: Duke University
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Cyber Security: Applied Cryptography: Macquarie University
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • More Applied Data Science with Python: University of Michigan
  • Introduction to AI and Machine Learning on GC - Italiano: Google Cloud

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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