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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


  • É

    École Polytechnique Fédérale de Lausanne

    Transmission electron microscopy for materials science

    Skills you'll gain: Materials science, Analytical Testing, Engineering, Scientific, and Technical Instruments, electromagnetics, Laboratory Research, Scientific Visualization, Laboratory Equipment, Chemistry, Physics, Applied Mathematics

    ★ 4.5 (126) · Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    Generative AI and Model Selection

    Skills you'll gain: Generative Model Architectures, Generative AI, Model Deployment, Model Evaluation, Prompt Engineering, Model Optimization, Cloud Deployment, LLM Application, Retrieval-Augmented Generation, Large Language Modeling

    ★ 4.8 (8) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Building and Optimizing AI Models

    Skills you'll gain: Model Optimization, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Fine-tuning, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Network Architecture, Performance Testing

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation

    Beginner · Course · 1 - 3 Months

  • S

    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning

    ★ 2.3 (7) · Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    Fundamentals of Analytics on AWS

    Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Data Storage Technologies, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Data Storage, Amazon Web Services, Machine Learning

    ★ 4.5 (66) · Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Fraud detection, Model Evaluation, Malware Protection, Cybersecurity, Threat Detection, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Classification Algorithms, Email Security, Network Security, Jupyter, Authentications, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence

    ★ 4.3 (130) · Intermediate · Specialization · 3 - 6 Months

  • L

    L&T EduTech

    Fundamentals of Digital Design for VLSI Chip Design

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Computational Logic, Computer Architecture, Hardware Design, Hardware Architecture, Memory Management, Electronics, Electronic Systems, Electronic Components, Diagram Design, Data Storage, Data Storage Technologies, Algorithms

    ★ 4.5 (131) · Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    SAS Macro Language

    Skills you'll gain: SAS (Software), Case Studies, Data Processing, Automation, Statistical Programming, Data Manipulation, Code Reusability, Data Validation

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

  • P

    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, Model Optimization, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Model Training, Network Architecture

    Advanced · Course · 3 - 6 Months

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

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

  • Transmission electron microscopy for materials science: École Polytechnique Fédérale de Lausanne
  • Generative AI and Model Selection: Vanderbilt University
  • Building and Optimizing AI Models : Coursera
  • Systematic ML Optimization: Coursera
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Fundamentals of Analytics on AWS: Amazon Web Services
  • AI for Cybersecurity: Johns Hopkins University
  • Fundamentals of Digital Design for VLSI Chip Design: L&T EduTech
  • SAS Macro Language: SAS

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