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  • Algorithms

Results for "algorithms"


  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    NoSQL Databases: Analyze & Implement Scalable Systems

    Skills you'll gain: Apache Mahout, NoSQL, Big Data, Apache Hive, Data Pipelines, Databases, Applied Machine Learning, Real Time Data, Database Theory, Scalability, Distributed Computing, Data Processing, Database Architecture and Administration, Model Evaluation, Machine Learning Algorithms, Transaction Processing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    OOP concepts, Collections and Data Structures

    Skills you'll gain: Object Oriented Programming (OOP), Java Programming, Java, Object Oriented Design, Data Structures, Computer Programming, Code Reusability

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: Model Training, System Design and Implementation

    Beginner · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Agentic systems, Model Training

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    C++ Crash Course - Quick and Practical Learning

    Skills you'll gain: C and C++, File I/O, Memory Management, Code Reusability, Computer Programming Tools, Development Environment

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

1…535455…190

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

  • Statistical Learning for Engineering Part 2: Northeastern University
  • NoSQL Databases: Analyze & Implement Scalable Systems: EDUCBA
  • ML Concepts, Models & Workflow Essentials: Coursera
  • OOP concepts, Collections and Data Structures: Packt
  • Build Real-Time Face Recognition with OpenCV: EDUCBA
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • ML: Build, Train, Justify Models: Coursera
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Build Predictive & Supervised Models: Coursera
  • Clustering and Classification with Machine Learning in R: Packt

Skills you can learn in Algorithms

Graphs (22)
Mathematical Optimization (21)
Computer Program (20)
Data Structure (19)
Problem Solving (19)
Algebra (12)
Computer Vision (10)
Discrete Mathematics (10)
Graph Theory (10)
Image Processing (10)
Linear Algebra (10)
Reinforcement Learning (10)

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