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  • 机器学习 Ml算法

Results for "机器学习 (ml) 算法"


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    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    553 reviews

    Advanced · Specialization · 3 - 6 Months

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    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management

    Intermediate · Specialization · 1 - 3 Months

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    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
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    294 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

    Mixed · Course · 1 - 3 Months

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    Peking University

    程序设计与算法

    Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Computational Thinking, Graph Theory, Programming Principles, Computer Programming, Theoretical Computer Science, Application Development, Program Development, Information Architecture, Application Design, Query Languages, Computer Science, Data Storage, Data Architecture, Computer Architecture, Software Engineering

    4.8
    Rating, 4.8 out of 5 stars
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    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

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    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, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

    3.7
    Rating, 3.7 out of 5 stars
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    819 reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Science and Technology of China

    职场修炼:学习、创新、协作与自我实现

    Skills you'll gain: Creative Thinking, Brainstorming, Creative Problem-Solving, Ideation, Time Management, Overcoming Obstacles, Innovation, Lifelong Learning, Productivity, Workflow Management, Quick Learning, Adult Education, Problem Solving, Collaboration, Process Mapping, Learning Strategies, Operational Efficiency, Adaptability, Personal Development, Self-Awareness

    4.3
    Rating, 4.3 out of 5 stars
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    130 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    SkillUp

    Machine Learning for Medical Data

    Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • MLOps | Machine Learning Operations: Duke University
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Microsoft AI & ML Engineering: Microsoft
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • 程序设计与算法: Peking University
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • 职场修炼:学习、创新、协作与自我实现: University of Science and Technology of China

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