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  • Approximation Algorithm

Results for "approximation algorithm"


  • U

    University at Buffalo

    Blockchain Basics

    Skills you'll gain: Blockchain, Cryptography, Transaction Processing, Network Protocols, Encryption, Data Structures, Distributed Computing, Virtual Environment, Data Integrity, Emerging Technologies, Data Validation, Algorithms, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    User Segmentation, Experimentation, and Retention Analytics

    Skills you'll gain: Customer Retention, Customer Analysis, Marketing Analytics, Customer Insights, Sample Size Determination, Analytics, User Research, Product Management, Trend Analysis, Statistical Inference, Data-Driven Decision-Making, Business Intelligence, Unsupervised Learning, Analysis, Statistical Analysis, Performance Measurement, Scikit Learn (Machine Learning Library), Strategic Decision-Making, Algorithms

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze & Build a Churn Prediction Model in R

    Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Intermediate · Specialization · 1 - 3 Months

  • A

    Arizona State University

    Professional Skills: Digital Security

    Skills you'll gain: Cyber Attacks, Cybersecurity, Data Security, Cyber Security Strategy, Vulnerability Assessments, Security Management, Threat Detection, Information Systems Security, Security Strategy, Security Controls, Network Security, Identity and Access Management, Security Awareness, Encryption, Patch Management, Disaster Recovery, NIST 800-53, Data Management, Risk Management

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Big Data Management and Optimization

    Skills you'll gain: Security Controls, Scalability, Data Governance, Cloud Management, Data Management, Performance Tuning, Microsoft Azure, Disaster Recovery, Data Security, Big Data, Enterprise Architecture, System Monitoring, Identity and Access Management, Encryption

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Artificial Intelligence for Cybersecurity

    Skills you'll gain: AI Security, Threat Detection, Large Language Modeling, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Strategy, Applied Machine Learning, Fraud detection, Cyber Engineering, IT Automation, Cyber Attacks, Anomaly Detection, Malware Protection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Cyber Risk, Deep Learning

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative AI for Software Development

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Database Design, LLM Application, Software Documentation, Software Design Patterns, Collaborative Software, Software Testing, OpenAI API, Application Design, Generative AI, Database Management, AI Enablement, Code Review, Software Architecture, System Design and Implementation, Dependency Analysis, Software Engineering, Software Development, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    803 reviews

    Beginner · Professional Certificate · 1 - 3 Months

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In summary, here are 10 of our most popular approximation algorithm courses

  • Blockchain Basics: University at Buffalo
  • User Segmentation, Experimentation, and Retention Analytics: Coursera
  • Mastering Python for Data Science: Packt
  • Analyze & Build a Churn Prediction Model in R: EDUCBA
  • AutoML: Build ML Models without Code: Edureka
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Professional Skills: Digital Security: Arizona State University
  • Big Data Management and Optimization: Microsoft
  • Artificial Intelligence for Cybersecurity: Packt
  • Probabilistic Graphical Models: A Compact Introduction: Coursera

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