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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


  • P

    Packt

    AWS Data, Integration and Modern Workloads

    Skills you'll gain: AWS Kinesis, Amazon Web Services, Amazon DynamoDB, AWS SageMaker, Amazon Redshift, Database Administration, Extract, Transform, Load, Databases, Relational Databases, Real Time Data, Cloud Applications, Database Management Systems, Scalability, Data Integration, Cloud Deployment, Middleware, Cloud-Based Integration, Web Services, Data Warehousing, Data Integrity

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance

    ★ 4 (898) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Reinforcement Learning from Human Feedback

    Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Model Evaluation, Reinforcement Learning, Model Optimization

    ★ 4.7 (33) · Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Einführung in generative KI

    Beginner · Course · 1 - 4 Weeks

  • G

    Georgia Institute of Technology

    Introduction to Engineering Mechanics

    Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Engineering Practices, Structural Analysis, Applied Mathematics, Trigonometry

    ★ 4.8 (5.1K) · Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Databricks GenAI Engineering

    Skills you'll gain: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning, Probability Distribution

    ★ 4.8 (1.3K) · Intermediate · Course · 1 - 3 Months

  • G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Prompt Engineering Tools, Prompt Patterns, AI powered creativity, Graphing, Context Engineering, AI literacy, AI Personalization, Generative AI, Timelines, LLM Application, Ideation, Artificial Intelligence, Business Correspondence, Complex Problem Solving, Report Writing, Solution Design, Document Management, Critical Thinking, Machine Learning

    ★ 4.8 (7.2K) · Beginner · Specialization · 1 - 4 Weeks

  • U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Programming Principles, Python Programming, Computer Programming, Applied Mathematics, Arithmetic

    ★ 4.4 (2.3K) · Beginner · Course · 1 - 3 Months

  • U

    University of Arizona

    Astronomy: Exploring Time and Space

    Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Life Sciences, Chemistry, electromagnetics, General Science and Research, Scientific Methods, Research

    ★ 4.8 (4K) · Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning

    ★ 4.5 (14) · Beginner · Project · Less Than 2 Hours

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

  • AWS Data, Integration and Modern Workloads: Packt
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Reinforcement Learning from Human Feedback: DeepLearning.AI
  • Einführung in generative KI : Google Cloud
  • Introduction to Engineering Mechanics: Georgia Institute of Technology
  • Databricks GenAI Engineering: Coursera
  • Sample-based Learning Methods: University of Alberta
  • Google Prompting Essentials: Google
  • Mathematical Thinking in Computer Science: University of California San Diego
  • Astronomy: Exploring Time and Space: University of Arizona

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