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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


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    New York University

    Overview of Advanced Methods of Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Market Dynamics, Risk Modeling, Financial Modeling, Machine Learning Methods, Applied Machine Learning, Credit Risk, General Lending, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
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    86 reviews

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Optimize Deep Learning Models for Peak AI

    Skills you'll gain: Fine-tuning, Model Optimization, Model Training, Model Evaluation, Deep Learning, Performance Tuning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Using Beam ML to catch Toxicity in Gaming

    Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
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    The University of Edinburgh

    Learning for a Sustainable Future: Live at COP28

    Skills you'll gain: Discussion Facilitation, Environmental Issue, Climate Change Programs, Sustainable Development, Interactive Learning, Climate Change Adaptation, Liberal Arts, Sustainability Standards, Student Engagement, Environmental Policy, Community Outreach, Climate Change Mitigation, Community Development, Advocacy, Creativity, International Relations, Diplomacy

    4.6
    Rating, 4.6 out of 5 stars
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    124 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Digital Forensics for Pentesters - Hands-On Learning

    Skills you'll gain: Penetration Testing, Vulnerability Assessments, Network Protocols, Network Security, Network Analysis, Network Monitoring, Image Analysis, Virtual Machines, Virtualization and Virtual Machines, Virtual Environment, Open Source Technology, Malware Protection, Command-Line Interface, Software Installation, Linux, Microsoft Windows

    4.6
    Rating, 4.6 out of 5 stars
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    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Colorado Boulder

    Active Learning in STEM with PhET Interactive Simulations

    Skills you'll gain: Instructional Strategies, Teaching, Education Software and Technology, Design Reviews, Mathematics Education, Digital pedagogy, Simulations, Simulation and Simulation Software, Prompt Patterns, Curriculum Planning, Diversity Equity and Inclusion Initiatives, Interactive Design, User Feedback, Experimentation, Research, Design Strategies, Display Devices, Physics, Biology, Chemistry

    4.9
    Rating, 4.9 out of 5 stars
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    154 reviews

    Beginner · Specialization · 3 - 6 Months

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    Politecnico di Milano

    Spaces and technologies for smart learning

    Skills you'll gain: Augmented and Virtual Reality (AR/VR), Digital pedagogy, Education Software and Technology, Augmented Reality, Virtual Environment, Virtual Reality, Innovation, Design Strategies, Emerging Technologies

    Beginner · Course · 1 - 4 Weeks

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    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Python - Complete Python, Django, Data Science and ML Guide

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, File I/O, Application Programming Interface (API), Programming Principles, Databases, Development Environment, Web Applications, Code Reusability, Data Management, Functional Design, Memory Management, Data Validation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Learning GitHub Actions for DevOps CI/CD

    Skills you'll gain: CI/CD, Infrastructure as Code (IaC), Continuous Integration, Devops Tools, Docker (Software), Microsoft Azure, DevOps, Application Deployment, GitHub, Continuous Deployment, Cloud Deployment, Containerization, Git (Version Control System), Infrastructure As A Service (IaaS), Development Environment, Secure Coding, Cloud Computing

    3.8
    Rating, 3.8 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
  • Optimize Deep Learning Models for Peak AI: Coursera
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Using Beam ML to catch Toxicity in Gaming: Google Cloud
  • Learning for a Sustainable Future: Live at COP28: The University of Edinburgh
  • Digital Forensics for Pentesters - Hands-On Learning: Packt
  • Active Learning in STEM with PhET Interactive Simulations: University of Colorado Boulder
  • Spaces and technologies for smart learning: Politecnico di Milano
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA

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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