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  • Algorithms

Results for "Algorithms"


  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Programming Foundations with JavaScript, HTML and CSS

    Skills you'll gain: User Interface (UI), Computational Thinking, HTML and CSS, Interactive Design, Web Development, Programming Principles, Web Design, Javascript, Event-Driven Programming, Computer Programming, Algorithms, Image Analysis, Cascading Style Sheets (CSS), Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Generative AI, Oral Expression, Large Language Modeling, Ideation, Artificial Intelligence, Scenario Testing, Business Correspondence, Productivity, Complex Problem Solving, Report Writing, Organizational Skills, Solution Design, Document Management, Critical Thinking, Software Versioning, Context Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.7K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • T

    The University of Edinburgh

    Code Yourself! An Introduction to Programming

    Skills you'll gain: Game Design, Software Engineering, Programming Principles, Software Development, Software Design, Computer Programming, Computational Thinking, Debugging, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Advanced Concepts in Recursion, Backtracking, and OOP

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Computational Thinking, Java, Algorithms, Programming Principles, Computer Programming, Debugging, Solution Design

    Advanced · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Tune HNSW

    Skills you'll gain: Simulations, Data-oriented programming, Plot (Graphics)

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    679 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

1…565758…165

In summary, here are 10 of our most popular Algorithms courses

  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Programming Foundations with JavaScript, HTML and CSS: Duke University
  • No-Code Data Science and Machine Learning: Edureka
  • Google Prompting Essentials: Google
  • Code Yourself! An Introduction to Programming: The University of Edinburgh
  • Advanced Concepts in Recursion, Backtracking, and OOP: Packt
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Fundamentals of Computing: Rice University
  • Tune HNSW: Coursera
  • Generative AI: Introduction and Applications: IBM

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