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  • 离散数学

Results for "离散数学"


  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    263 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Machine Learning Algorithms, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Data Cleansing, Analytics, Regression Analysis, R (Software), Statistical Software, Forecasting, Data Science, Statistical Modeling, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Deep Learning for Real Estate Price Prediction

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to AI for Cybersecurity

    Skills you'll gain: Cybersecurity, Cyber Threat Intelligence, Fraud detection, Email Security, Threat Detection, Jupyter, Authentications, Intrusion Detection and Prevention, Machine Learning Algorithms, Artificial Intelligence, Multi-Factor Authentication, Anomaly Detection, Natural Language Processing, Machine Learning, Deep Learning, Supervised Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Artificial Intelligence

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Generative AI, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, OpenAI, Anthropic Claude, Supervised Learning, Business Intelligence, Business Ethics, Technology Strategies, Human Machine Interfaces, Emerging Technologies, Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Wearable Technologies and Sports Analytics

    Skills you'll gain: Exercise Science, Sports Medicine, Injury Prevention, Athletic Training, Physiology, Analytics, Data Analysis, Advanced Analytics, Data-Driven Decision-Making, Medical Equipment and Technology, Vital Signs, Health Technology, Python Programming, Machine Learning, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Reliable Cloud Infrastructure: Design and Process 日本語版

    Skills you'll gain: Application Deployment, Microservices, Cloud Infrastructure, CI/CD, Google App Engine, Kubernetes, Restful API, Google Cloud Platform, Cloud Computing Architecture, Network Architecture, API Design, DevOps, Cloud Storage, Service Level, Distributed Denial-Of-Service (DDoS) Attacks, Systems Design, Service Level Agreement, Cloud Security, Load Balancing, System Monitoring

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Advanced · Course · 1 - 3 Months

Searches related to 离散数学

离散数学概论 discrete mathematics generality
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In summary, here are 10 of our most popular 离散数学 courses

  • Fake News Detection with Machine Learning: Coursera
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Introduction to Data Science Techniques: Illinois Tech
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Deep Learning for Real Estate Price Prediction: Coursera
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Introduction to AI for Cybersecurity: Johns Hopkins University
  • Artificial Intelligence: Illinois Tech
  • Wearable Technologies and Sports Analytics: University of Michigan

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