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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


  • E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 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, Classroom Management, Teaching, Community Outreach, Student Engagement, Ethical Standards And Conduct

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

    Mixed · Course · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Using Generative AI for Learning Design Activities

    Skills you'll gain: Generative AI, Prompt Engineering, Ideation, Instructional Design, Brainstorming, Design Strategies, Content Creation, Persona Development, Professional Development, digital literacy

    4.9
    Rating, 4.9 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Description Design for Interactive Learning Resources

    Skills you'll gain: Web Content Accessibility Guidelines, Education Software and Technology, Peer Review, Design Reviews, Interactive Design, User Interface (UI), Interaction Design, Usability, Software Design Patterns, Technical Design, Experience Design, Usability Testing, Technical Documentation, Design Strategies, Technical Writing, Simulations

    Beginner · Course · 1 - 3 Months

  • U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Deep Learning with Keras and Practical Applications: Packt
  • Foundations of Teaching for Learning: Developing Relationships: Commonwealth Education Trust
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Using Generative AI for Learning Design Activities : University of Michigan
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt

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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