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    • Machine Learning Andrew Ng

    Andrew Ng Machine Learning Courses Online

    Study machine learning with Andrew Ng for foundational knowledge. Learn about supervised learning, neural networks, and model evaluation.

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    Explore the Andrew Ng Machine Learning Course Catalog

    • Status: New
      New
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      SkillsBooster Academy

      AI Agents 101: Tools for Marketing & Business

      Skills you'll gain: Prompt Engineering, Marketing Strategies, Artificial Intelligence and Machine Learning (AI/ML), Strategic Marketing, Marketing Analytics, Artificial Intelligence, Generative AI, Agentic systems, Content Development and Management, Digital Marketing, Content Creation, Automation, Business Ethics, Customer experience improvement, Machine Learning, Natural Language Processing, Content Management, Creativity, Ethical Standards And Conduct, Interactive Data Visualization

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Ethics in GenAI for Software Engineering Training

      Skills you'll gain: Legal Risk, Responsible AI, Data Ethics, Generative AI, Personally Identifiable Information, Law, Regulation, and Compliance, Engineering Software, Information Privacy, Regulation and Legal Compliance, Artificial Intelligence, Data Security, Case Studies, Diversity Awareness, Ethical Standards And Conduct, Governance, Mitigation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Linear Regression & Supervised Learning in Python

      Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, Data Manipulation, Verification And Validation, Pandas (Python Package), Histogram

      Mixed · Course · 1 - 4 Weeks

    • Status: New
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      EDUCBA

      R: Design & Evaluate Random Forests for Attrition

      Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      English for Journalism

      Skills you'll gain: Journalism, Research, Interviewing Skills, Vocabulary, Media and Communications, Grammar, Writing and Editing, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Python Programming, Computational Thinking, Biology, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      PySpark: Apply & Evaluate Predictive ML Models

      Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
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      P

      Pearson

      Data Science Fundamentals Part 1: Unit 1

      Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Google Cloud

      프로덕션 머신러닝 시스템

      Skills you'll gain: MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Machine Learning, Systems Architecture, Data Validation, Technical Design, Performance Tuning, Distributed Computing, Scalability, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: Preview
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      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Statistics and Calculus Methods for Data Analysis

      Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Langchain and Langgraph

      Skills you'll gain: LangChain, Prompt Engineering, LLM Application, LangGraph, Generative AI Agents, Agentic systems, Large Language Modeling, OpenAI, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Artificial Intelligence, AI Personalization, Responsible AI, Tool Calling, Text Mining, Query Languages, User Interface (UI), Application Development, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

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    1…363738…482

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

    • AI Agents 101: Tools for Marketing & Business: SkillsBooster Academy
    • Ethics in GenAI for Software Engineering Training : Simplilearn
    • Linear Regression & Supervised Learning in Python: EDUCBA
    • R: Design & Evaluate Random Forests for Attrition: EDUCBA
    • English for Journalism: University of Pennsylvania
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • 프로덕션 머신러닝 시스템: Google Cloud
    • Computational Neuroscience: University of Washington

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