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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


  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration

    ★ 4.9 (38) · Beginner · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    ★ 4.7 (109) · Advanced · Course · 1 - 3 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Supply Chain Management: A Learning Perspective

    Skills you'll gain: New Product Development, Supply Chain, Supply Chain Management, Supply Chain Planning, Quality Management, Operations Management, Logistics Management, Supplier Management, Product Quality (QA/QC), Inventory Management System, Corporate Sustainability, Sustainable Business, Coordination, Value Propositions, Operational Efficiency

    ★ 4.7 (1.8K) · Mixed · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning & Modern AI Architectures

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Fine-tuning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Image Analysis, Model Training, Machine Learning Methods, Applied Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    ★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Gemini for Google Cloud Learning Path

    Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Kubernetes, Big Data, Software Development Life Cycle, Systems Development Life Cycle, Devops Tools, Cloud Development, Cloud Security, Development Testing, Virtual Networking, Application Deployment, Marketing Analytics, DevOps, Generative AI, Application Development, Security Engineering

    ★ 4.3 (38) · Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    ★ 4.3 (7) · Beginner · Specialization · 3 - 6 Months

  • I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing

    ★ 4.3 (150) · Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Education and Training, Empathy & Emotional Intelligence, Journals, Pedagogy, Empathy, Growth Mindedness, Tenacity, Persistence, Relationship Building

    ★ 4.7 (712) · Advanced · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Generative AI, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Graph Theory, Network Analysis, Artificial Neural Networks, Network Model, Health Informatics, Laboratory Experience, Autoencoders, Predictive Modeling, Unsupervised Learning, Data Synthesis

    ★ 3.6 (15) · Advanced · Course · 1 - 4 Weeks

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

  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Deep Learning and Advanced Techniques: Packt
  • Learning Experience Design: Theories and Frameworks: University of Michigan
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Supply Chain Management: A Learning Perspective : Korea Advanced Institute of Science and Technology(KAIST)
  • Deep Learning & Modern AI Architectures: Packt
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Gemini for Google Cloud Learning Path: Google Cloud
  • Deep Learning with Real-World Projects: Packt
  • An Introduction to Practical Deep Learning: Intel

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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