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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


  • U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Education Software and Technology, ChatGPT, Instructional Design, AI literacy, Ideation, AI Integrations, Brainstorming, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Persona Development, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    87 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Foundations of LLMs and Deep Learning for Text Analysis

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, LLM Application, Multimodal Prompts, Recurrent Neural Networks (RNNs), Text Mining, Embeddings, Generative AI, Deep Learning, Fine-tuning, Generative Model Architectures, Artificial Neural Networks, Machine Learning, Data Ethics

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Data Processing, Development Environment, Predictive Analytics, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    AI for Lawyers: Learning and Leading

    Skills you'll gain: AI literacy, Critical Thinking, Critical Thinking and Problem Solving, Advocacy, Artificial Intelligence, AI Integrations, Communication, Leadership Development, Professional Development, Constructive Feedback, Leadership, Adaptability, Communication Strategies, Creativity, Generative AI

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Use Wakelet to Curate Learning Collections

    Skills you'll gain: Information Architecture, Education Software and Technology, Content Management, Collaborative Software

    Beginner · Guided Project · Less Than 2 Hours

  • M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Deploying Deep Learning: Quantization, Serving, and Edge AI

    Skills you'll gain: Model Deployment, Application Deployment, Model Optimization, Cloud Deployment, Fine-tuning, Containerization, Large Language Modeling, Docker (Software), Model Evaluation, API Design, Performance Tuning, Scalability, Memory Management

    Advanced · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Being a Teacher

    Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Education and Training, Instructional Strategies, Classroom Management, Student Engagement, Professional Development, Diversity Awareness, Cultural Responsiveness, Self-Awareness

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Developing Relationships

    Skills you'll gain: Diversity Awareness, Parent Communication, Cultural Diversity, Relationship Building, Working With Children, Teaching, Community Development, Community Outreach, Student Engagement, Team Collaboration, Ethical Standards And Conduct

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • B

    Board Infinity

    Deep Learning: Train Neural Networks and Deploy with Docker

    Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Model, Network Architecture, Configuration Management

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI as a Learning Design Partner: University of Michigan
  • Foundations of LLMs and Deep Learning for Text Analysis: Packt
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Foundations of Model Optimization and Deep Learning: Packt
  • AI for Lawyers: Learning and Leading: University of Michigan
  • Use Wakelet to Curate Learning Collections: Coursera
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Deploying Deep Learning: Quantization, Serving, and Edge AI: Board Infinity
  • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust

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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