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  • Algorithm Complexity

Results for "algorithm complexity"


  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Foundations of Computer Science

    Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    113 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Theory

    Skills you'll gain: Application Specific Integrated Circuits, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Development, Amazon Web Services, Hardware Architecture, Cloud Applications, Performance Tuning, Computer Architecture, Development Environment, System Design and Implementation, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    79 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    KodeKloud

    AWS Certified AI Practitioner

    Skills you'll gain: Responsible AI, Amazon Bedrock, Prompt Engineering, Generative AI, LLM Application, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, AWS SageMaker, Retrieval-Augmented Generation, Amazon Web Services, Large Language Modeling, Artificial Intelligence, Model Evaluation, Data Security, Human Centered Design

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Advanced Data Types - 5

    Skills you'll gain: C (Programming Language), Embedded Systems, Data Structures, System Programming, Algorithms, Computer Programming, Linux, Computer Programming Tools, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Frontend Developer Interview Practice

    Skills you'll gain: Pseudocode, Responsive Web Design, Computational Thinking, LinkedIn, Cascading Style Sheets (CSS), Front-End Web Development, React.js, HTML and CSS, Debugging, Algorithms, Interviewing Skills, UI Components, Web Design and Development, Professional Development, Programming Principles, Jest (JavaScript Testing Framework), JavaScript Frameworks, Web Development Tools, Web Development, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Working with Objects in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Debugging, Model Evaluation, Test Data, Data Validation, Algorithms, Statistical Programming, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Foundations of Computer Science: LearnQuest
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Developing FPGA-accelerated cloud applications with SDAccel: Theory: Politecnico di Milano
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • AWS Certified AI Practitioner: KodeKloud
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Quantitative Finance & Risk Modeling: Coursera
  • C Programming: Advanced Data Types - 5: Dartmouth College

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