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  • 分散式交易所的机制和风险

Results for "分散式交易所的机制和风险"


  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Ethical Standards And Conduct, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms, Information Privacy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    105 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Building Batch Data Pipelines on GCP 日本語版

    Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Apache Spark, Data Transformation, Big Data, Apache Hadoop

    4.4
    Rating, 4.4 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Introduction to the Threat Intelligence Lifecycle

    Skills you'll gain: Cyber Threat Intelligence, Threat Management, Threat Detection, Data Management, Data Validation, Technical Communication, Automation, Requirements Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Autonomous Vehicles and Robotics

    Skills you'll gain: Machine Learning Methods, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Statistical Machine Learning, Reinforcement Learning, Artificial Neural Networks, Automation, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Tensorflow, Python Programming, Natural Language Processing, Artificial Neural Networks, Text Mining, Machine Learning Algorithms, Deep Learning, Machine Learning, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Algorithms, Data Mining, Classification And Regression Tree (CART), Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    194 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Algorithms, Linear Algebra, Exploratory Data Analysis, NumPy, Statistical Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Trustworthy AI: Managing Bias, Ethics, and Accountability

    Skills you'll gain: Responsible AI, Data Ethics, Risking, Artificial Intelligence, Machine Learning, AI Product Strategy, Ethical Standards And Conduct, Case Studies, Legal Risk, Law, Regulation, and Compliance, Data-Driven Decision-Making, Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Storage Technologies, Apache Hadoop, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning, Live Streaming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 分散式交易所的机制和风险 courses

  • Solve Business Problems with AI and Machine Learning: CertNexus
  • Building Batch Data Pipelines on GCP 日本語版: Google Cloud
  • Introduction to the Threat Intelligence Lifecycle : IBM
  • AI for Autonomous Vehicles and Robotics: University of Michigan
  • Logistic Regression with NumPy and Python: Coursera
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Machine Learning: an overview: Politecnico di Milano
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Trustworthy AI: Managing Bias, Ethics, and Accountability: Johns Hopkins University
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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