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  • Algorithms

Results for "Algorithms"


  • C

    Coursera

    Master ANN Search

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, Artificial Neural Networks, LLM Application, Large Language Modeling, Data Ethics, Responsible AI, Applied Machine Learning, Model Evaluation, Performance Tuning, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Introductory C Programming

    Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Problem Solving, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • 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

  • U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 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

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts, Part 1

    Skills you'll gain: Distributed Computing, NoSQL, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

    Skills you'll gain: Bioinformatics, Programming Principles, Molecular, Cellular, and Microbiology, Python Programming, Computational Thinking, Biology

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Foundations of Programming and Java Essentials

    Skills you'll gain: Debugging, Java, Computer Programming, Algorithms, Data Structures, Pseudocode, Integrated Development Environments, Object Oriented Programming (OOP), Computational Thinking

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

Searches related to Algorithms

algorithms
algorithms, part i
algorithms specialization
algorithms and data structures
algorithms for searching, sorting, and indexing
algorithms 1
algorithms on graphs
algorithms princeton
1…141516…163

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

  • Master ANN Search: Coursera
  • Introductory C Programming: Duke University
  • C for Everyone, Part 1: Programming Fundamentals: University of California, Santa Cruz
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • User Segmentation, Experimentation, and Retention Analytics: Coursera
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego

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