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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Threat Management, Cyber Attacks, Cybersecurity, Network Protocols, Cloud Security, Vulnerability Assessments, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      58K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Selecting the Right LLM with Hugging Face

      Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Applied Machine Learning, Generative Model Architectures, Machine Learning Methods

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Kubernetes, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Terraform, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Microservices

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Data Techniques for Enterprise AI Systems

      Skills you'll gain: Data Governance, Data Strategy, Data Ethics, Responsible AI, Data Management, Data Architecture, Metadata Management, Data Store, Data Loss Prevention, Data Security, Interoperability, Docker (Software), Data Storage, Data Processing, Semantic Web, Generative AI Agents, Real Time Data, Large Language Modeling, Machine Learning, Agentic systems

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

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

      Google Cloud

      Google Cloud AI Infrastructure

      Skills you'll gain: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Neural Networks

      Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Bayesian Statistics, Network Architecture, Linear Algebra, Markov Model

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Bayesian Statistics: Excel to Python A/B Testing

      Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model, Probability Distribution, Sampling (Statistics)

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Macquarie University

      Cyber Security: DevOps

      Skills you'll gain: Responsible AI, Cryptography, DevSecOps, Encryption, Secure Coding, Data Security, Cybersecurity, Key Management, Network Security, Public Key Infrastructure, Data Encryption Standard, Cloud-Native Computing, Security Controls, Application Security, Cloud Security, CI/CD, Security Awareness, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Software Architecture

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Machine Learning learners also search

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    1…969798…527

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

    • Google Cybersecurity: Google
    • Feature Engineering: Google Cloud
    • Selecting the Right LLM with Hugging Face: Coursera Instructor Network
    • Architecting with Google Compute Engine: Google Cloud
    • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
    • Computational Social Science: University of California, Davis
    • Google Cloud AI Infrastructure: Google Cloud
    • Foundations of Neural Networks: Johns Hopkins University
    • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University

    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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