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    Results for "機器學習基石下 (machine learning foundations)---algorithmic foundations"

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Art and Science of Machine Learning 日本語版

      Skills you'll gain: Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Feature Engineering, Performance Tuning, Deep Learning, Supervised Learning, Dimensionality Reduction, Regression Analysis, Google Cloud Platform, Financial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

      Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Analysis, Debugging, Machine Learning, Network Architecture, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: Data Management, Data Governance, MLOps (Machine Learning Operations), Data Strategy, Forecasting, Google Cloud Platform, Workflow Management, Data Pipelines, Predictive Analytics, Applied Machine Learning, Data Processing, Machine Learning, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 日本語版

      Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Solutions, Cloud API, Machine Learning, Predictive Modeling, Natural Language Processing, Supervised Learning

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Artificial Intelligence, Computational Logic, Simulations, Computer Science, Computational Thinking, Programming Principles, Game Design, Algorithms, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      317 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Statistical Methods, Predictive Modeling, Machine Learning, Data Quality, Visualization (Computer Graphics)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of Machine Learning

      Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      884 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular 機器學習基石下 (machine learning foundations)---algorithmic foundations courses

    • Art and Science of Machine Learning 日本語版: Google Cloud
    • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
    • Machine Learning in the Enterprise - 日本語版: Google Cloud
    • Introduction to AI and Machine Learning on GC - 日本語版: Google Cloud
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
    • AI and Machine Learning Algorithms and Techniques: Microsoft
    • NVIDIA: Fundamentals of Machine Learning: Whizlabs
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Machine Learning Foundations: A Case Study Approach: University of Washington

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