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    Results for "algorithms"

    • U

      University of California, Irvine

      The Merkle Tree and Cryptocurrencies

      Skills you'll gain: Blockchain, Cryptography, Data Integrity, Encryption, FinTech, Network Security, Transaction Processing, Data Structures, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Machine Learning Models in Science

      Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Business Intelligence Analysts

      Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Advanced Analytics, Exploratory Data Analysis, Large Language Modeling, Data Governance, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Cómputo evolutivo

      Skills you'll gain: Bioinformatics, Algorithms, Computational Thinking, Computer Engineering, Machine Learning Algorithms, Artificial Intelligence, Program Development

      4.1
      Rating, 4.1 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      U

      University of Glasgow

      Evolutionary Computation and its Applications

      Skills you'll gain: Matlab, Numerical Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Machine Learning Algorithms, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Real-Time Embedded Systems Theory and Analysis

      Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Software Design, Linux, System Design and Implementation, Performance Tuning, C (Programming Language), Verification And Validation, Algorithms, Debugging

      4.1
      Rating, 4.1 out of 5 stars
      ·
      17 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Comportamiento adaptativo

      Skills you'll gain: Artificial Intelligence, Algorithms, Systems Thinking, Artificial Neural Networks, Simulations, Computational Thinking, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Multimodal Search and RAG

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Applied Machine Learning, Unsupervised Learning, Unstructured Data

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning Algorithms, Tensorflow, Deep Learning, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Predictive Analytics, Data Ethics, Algorithms, Random Forest Algorithm, Computer Vision

      Beginner · Specialization · 1 - 3 Months

    • P

      Packt

      Advanced PyTorch Techniques and Applications

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Unsupervised Learning, Text Mining, Supervised Learning, Image Analysis, Machine Learning, Google Cloud Platform, Application Deployment, Flask (Web Framework)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms for dna sequencing
    algorithms on graphs
    algorithms for battery management systems
    algorithms on strings
    1…697071…119

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

    • The Merkle Tree and Cryptocurrencies: University of California, Irvine
    • Machine Learning Models in Science: LearnQuest
    • GenAI for Business Intelligence Analysts: Coursera Instructor Network
    • Cómputo evolutivo: Universidad Nacional Autónoma de México
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • Data Science con Python e R: Università di Napoli Federico II
    • Evolutionary Computation and its Applications: University of Glasgow
    • Real-Time Embedded Systems Theory and Analysis: University of Colorado Boulder
    • Comportamiento adaptativo: Universidad Nacional Autónoma de México
    • Building Multimodal Search and RAG: DeepLearning.AI

    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)

    Frequently Asked Questions about Algorithms

    Coursera's algorithms courses offer valuable skills that are foundational in computer science:

    • Understanding and implementing basic and advanced algorithms
    • Analyzing algorithm efficiency and complexity
    • Designing data structures to optimize software applications
    • Problem-solving techniques for tackling computational challenges
    • Application of algorithms in real-world scenarios, like sorting, searching, and graph operations
    • Hands-on programming skills to implement algorithms in various programming languages ‎

    Algorithm courses on Coursera are suitable for all experience levels:

    • Beginners can start with courses that introduce basic concepts and simple algorithms.
    • Those with some background might choose intermediate courses focusing on more complex algorithms and their applications.
    • Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.‎

    Coursera offers several ways to validate your skills in algorithms:

    • Professional certificates designed to help build and showcase your analytical skills in technical roles.
    • Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures.
    • Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.‎

    Skills in algorithms are crucial for a variety of technical careers:

    • Software Engineer, developing efficient, scalable software
    • Data Analyst, using algorithms to process and analyze large data sets
    • Machine Learning Engineer, applying algorithms to build and train intelligent systems
    • Operations Research Analyst, optimizing and improving business processes
    • Academic Researcher, contributing to the advancement of computational theories and practices‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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