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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Identifying Patient Populations

    Skills you'll gain: Data Manipulation, Bioinformatics, Informatics, Data Processing, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Classification Algorithms, Analytics, Patient Evaluation, Model Evaluation, Machine Learning Algorithms, Data Validation, Performance Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    188 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    An Introduction to Logic for Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence, Cryptography, Graph Theory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    117 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Vector Search and Embeddings

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Semantic Web, Generative AI, Large Language Modeling, Natural Language Processing, Google Cloud Platform, Algorithms

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    202 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Capstone: Analyzing (Social) Network Data

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Technical Communication, Data Structures, Algorithms, Analysis, Computer Science, Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Learn to Teach Java

    Skills you'll gain: Debugging, Object Oriented Programming (OOP), Java, Teaching, Programming Principles, Program Development, Pedagogy, Computer Programming, Integrated Development Environments, Computational Thinking, Education Software and Technology, Cultural Responsiveness, Digital pedagogy, Test Case, Computational Logic, Pseudocode, Algorithms, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular algorithms princeton courses

  • Identifying Patient Populations: University of Colorado System
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • An Introduction to Logic for Computer Science: University of Leeds
  • Object Localization with TensorFlow: Coursera
  • Vector Search and Embeddings: Google Cloud
  • Machine Learning: an overview: Politecnico di Milano
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Capstone: Analyzing (Social) Network Data: University of California San Diego

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