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    Results for "介绍 azure 机器学习的基本原理"

    • Status: Preview
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      N

      National Taiwan University

      深扣孔孟 (An Inquiry into Confucius and Mencius)

      Skills you'll gain: Political Sciences, Education and Training, Family Law, International Relations, Culture, Ethical Standards And Conduct, Sociology, Cultural Diversity, Social Sciences, Human Development, Governance, Interpersonal Communications

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Github CoPilot for Beginners: Write Software With AI

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development Tools, Web Development, Generative AI, GitHub, Javascript, Artificial Intelligence, Software Engineering, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      69 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Fundamentals

      Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Relational Databases, Data Store, SQL, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Node.JS, Image Analysis, Data Architecture, Machine Learning, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 繁體中文

      Skills you'll gain: Data Ethics, Data Analysis, Artificial Intelligence, Data Science, Exploratory Data Analysis, Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization with Plotly Express

      Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      269 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      339 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Deep Learning, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      179 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      85 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 1

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Import/Export, Data Analysis, Machine Learning, Data-Driven Decision-Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      56 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      8 Most Controversial Terms in AI, Explained

      Skills you'll gain: Artificial Intelligence, OpenAI, Generative AI, Open Source Technology, Large Language Modeling, Data Ethics, ChatGPT, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular 介绍 azure 机器学习的基本原理 courses

    • 深扣孔孟 (An Inquiry into Confucius and Mencius): National Taiwan University
    • Github CoPilot for Beginners: Write Software With AI: Coursera Project Network
    • Vector Database Fundamentals: IBM
    • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
    • Data Visualization with Plotly Express: Coursera Project Network
    • Data Engineering in AWS: Whizlabs
    • Fundamentals of Machine Learning in Finance: New York University
    • Transfer Learning for NLP with TensorFlow Hub: Coursera Project Network
    • Machine Learning Basics: Sungkyunkwan University
    • Interpretable Machine Learning Applications: Part 1: Coursera Project Network

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