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  • 练习筛选复杂的事实信息,以确定重要特征和趋势

Results for "- 练习筛选复杂的事实信息,以确定重要特征和趋势"


  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Digital Marketing Tools: Machine Learning and AI

    Skills you'll gain: Apache Hadoop, Machine Learning Methods, Customer Analysis, MarTech, Marketing Analytics, Digital Marketing, Marketing Strategies, Big Data, Machine Learning, Artificial Neural Networks, Performance Review, Machine Learning Algorithms, Deep Learning, Artificial Intelligence, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de Inteligência Artifical em Marketing

    Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, MarTech, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Machine Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Sheets - Advanced Topics 日本語版

    Skills you'll gain: Google Sheets, Data Validation, Excel Formulas, Excel Macros, Data Visualization, Business Solutions, Data Analysis Expressions (DAX), Data Integrity, Productivity Software, Collaborative Software, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning, Algorithms, Statistics

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Sampling (Statistics), Data Mining, Data Integration, Database Management, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fundação Instituto de Administração

    Cadeia de Suprimentos na Nuvem

    Skills you'll gain: Supply Chain Management, Supply Chain Planning, Business Transformation, Business Strategies, Value Propositions, Digital Transformation, Cloud Computing, Cloud Applications, Business Modeling, Big Data, Automation, Internet Of Things, Systems Integration, Machine Learning, Predictive Analytics

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - 繁體中文

    Skills you'll gain: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Data Pipelines, Data Processing, Big Data, Data Warehousing, Data Integration, Data Storage, SQL, Data Transformation, Automation

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular - 练习筛选复杂的事实信息,以确定重要特征和趋势 courses

  • Digital Marketing Tools: Machine Learning and AI: University of Maryland, College Park
  • Fundamentos de Inteligência Artifical em Marketing: Fundação Instituto de Administração
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Google Sheets - Advanced Topics 日本語版: Google Cloud
  • Bracketology with Google Machine Learning: Google Cloud
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • Alteryx Advanced: Packt
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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