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  • Machine Learning Andrew Ng

Machine Learning Andrew Ng Courses

Machine learning courses can help you learn algorithms, data preprocessing, model evaluation, and neural networks. You can build skills in regression analysis, classification techniques, and clustering methods. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, showing how these technologies are used to implement machine learning solutions in real-world applications.

Popular Machine Learning Andrew Ng Courses and Certifications


  • U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Network Model, Graph Theory, Data Analysis, Predictive Analytics, Python Programming, Algorithms

    ★ 4.6 (2.7K) · Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Explainability Methods & Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Architect Multimodal AI Solutions End-to-End

    Skills you'll gain: Technical Documentation, Solution Architecture, Model Deployment, Software Documentation, AI Integrations, MLOps (Machine Learning Operations), AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Systems Development Life Cycle, Cloud Computing Architecture, Software Design Documents, Data Architecture, Data Integration, Systems Design, Functional Specification, Data Pipelines, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • S

    Saïd Business School, University of Oxford

    AI and Content Recommendation

    Skills you'll gain: AI Personalization, Generative Engine Optimization (GEO), Machine Learning Methods, Media Strategy, Responsible AI, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, AI Enablement, Content Performance Analysis, Algorithms, Driving engagement, Generative AI, Marketing, Marketing Communications, Data Storytelling, Target Audience, Strategic Thinking

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Essential Google Cloud Infrastructure: Foundation

    Skills you'll gain: Cloud Infrastructure, Cloud Storage, Infrastructure As A Service (IaaS), Google Cloud Platform, Cloud Computing Architecture, Infrastructure Architecture, Cloud Computing, Virtual Networking, Network Infrastructure, Data Storage, Cloud Platforms, Virtual Machines, Cloud Services, Cloud Management, IT Infrastructure, Network Architecture, Network Planning And Design, Command-Line Interface, Firewall

    ★ 4.7 (17K) · Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    ★ 4.8 (5.6K) · Mixed · Course · 1 - 3 Months

  • P

    Packt

    Hands-On Data Science with PyTorch & Pandas

    Skills you'll gain: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, AI Workflows, Machine Learning Methods, Data Science, Computer Programming, Web Frameworks, Application Development, UI Components, Web Development Tools, User Interface (UI)

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Java Programming: Solving Problems with Software

    Skills you'll gain: Debugging, Bioinformatics, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), Data Analysis, Web Scraping, Software Testing, Problem Solving

    ★ 4.6 (8.1K) · Beginner · Course · 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

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

  • Applied Social Network Analysis in Python: University of Michigan
  • Explainability Methods & Evaluation: Edureka
  • Machine Learning with Neural Networks: Dartmouth College
  • Advanced Machine Learning and Deep Learning: Packt
  • Architect Multimodal AI Solutions End-to-End: Coursera
  • AI and Content Recommendation: Saïd Business School, University of Oxford
  • Essential Google Cloud Infrastructure: Foundation: Google Cloud
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Machine Learning: Regression: University of Washington
  • Hands-On Data Science with PyTorch & Pandas: Packt

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