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    Results for "机器学习 (ml) 算法"

    • Status: Preview
      Preview
      P

      Peking University

      现代汉语核心语法

      Skills you'll gain: Grammar, Vocabulary, Language Competency, Language Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      P

      Peking University

      刑法学总论 Criminal Law

      Skills you'll gain: Case Law, Court Systems, Legal Research, Legal Proceedings, Social Justice, Legal Strategy, Civil Law, Ethical Standards And Conduct, International Relations

      3.2
      Rating, 3.2 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Preview
      Preview
      D

      Deep Teaching Solutions

      学会如何学习:帮助你掌握复杂学科的强大智力工具(Learning How to Learn)

      Skills you'll gain: Learning Strategies, Collaboration, Productivity, Willingness To Learn, Human Learning, Mental Concentration, Time Management, Creativity, Growth Mindedness, Problem Solving, Cognitive flexibility, Self-Discipline, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Linear Algebra for ML and Analytics Training

      Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Pseudocode, Mathematical Modeling, Theoretical Computer Science, Mathematics and Mathematical Modeling, Computational Thinking, Combinatorics, Applied Mathematics, Data Structures, Design Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

      3.7
      Rating, 3.7 out of 5 stars
      ·
      815 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      599 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Peking University

      生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Life Sciences, Molecular Biology, Biology, Medical Science and Research, Big Data, Computational Thinking, Data Mining, Statistical Methods, Machine Learning Methods, Data Analysis Software, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      189 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      算法基础

      Skills you'll gain: Algorithms, Computational Thinking, Programming Principles, Computer Programming, Program Development, Graph Theory, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      321 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Computational Logic, Theoretical Computer Science, Graph Theory, Geospatial Information and Technology, Spatial Data Analysis, Network Analysis, Logical Reasoning, Computational Thinking, Mathematics and Mathematical Modeling, Algebra, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 3 - 6 Months

    1234…143

    In summary, here are 10 of our most popular 机器学习 (ml) 算法 courses

    • 现代汉语核心语法: Peking University
    • 刑法学总论 Criminal Law: Peking University
    • 学会如何学习:帮助你掌握复杂学科的强大智力工具(Learning How to Learn): Deep Teaching Solutions
    • Linear Algebra for ML and Analytics Training: Simplilearn
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • 算法设计与分析 Design and Analysis of Algorithms: Peking University
    • Machine Learning with Apache Spark: IBM
    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • 生物信息学: 导论与方法: Peking University

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