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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


  • C

    Coursera

    Build your first Machine Learning Pipeline using Dataiku

    Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics

    ★ 4.5 (61) · Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

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

  • D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning, Fine-tuning, Data Preprocessing

    ★ 4.8 (31K) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    ★ 4.7 (8.2K) · Intermediate · Course · 1 - 4 Weeks

  • M

    Macquarie University

    Machine Learning for Cyber Threat & Anomaly Detection

    Skills you'll gain: Fraud detection, Threat Detection, Malware Protection, Cyber Security Assessment, AI Security, Network Security, Machine Learning, Machine Learning Algorithms, Security Management, Data Preprocessing, Unsupervised Learning, Feature Engineering, Exploitation techniques, Deep Learning, Classification Algorithms, Analytical Skills

    Intermediate · Course · 1 - 3 Months

  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Linear Algebra, Data Transformation

    ★ 4.9 (331) · Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Machine Learning and Deep Learning for Software Engineers

    Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Responsible AI, Vector Databases, Fine-tuning, Python Programming

    ★ 4.7 (100K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing

    ★ 4.4 (5K) · Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software

    ★ 4.3 (29) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy

    ★ 4.5 (49) · Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

1…456…773

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

  • Build your first Machine Learning Pipeline using Dataiku : Coursera
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Sequence Models: DeepLearning.AI
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Machine Learning for Cyber Threat & Anomaly Detection: Macquarie University
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Machine Learning and Deep Learning for Software Engineers: Board Infinity
  • IBM Generative AI Engineering: IBM
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera

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