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    Results for "algorithms"

    • D

      DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Modèles de séquence

      Skills you'll gain: Natural Language Processing, Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Distributed Query Optimization and Security

      Skills you'll gain: Database Management, Apache Hadoop, Query Languages, Big Data, Databases, SQL, Data Access, Distributed Computing, Performance Tuning, Data Processing, Data Integrity, Authorization (Computing), Data Storage Technologies, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Game Bots in C#: Develop a Tic-Tac-Toe Agent

      Skills you'll gain: C# (Programming Language), Artificial Intelligence, Algorithms, Game Design, Video Game Development, Microsoft Development Tools

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      J

      Johns Hopkins University

      Reliability, Cloud Computing and Machine Learning

      Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Management, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      투자 기술의 혁신: AI

      Skills you'll gain: FinTech, Investments, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Fundamentals of Unity Android Game Development

      Skills you'll gain: Android Development, Unity Engine, Video Game Development, Animation and Game Design, User Interface (UI) Design, Mobile Development, User Interface and User Experience (UI/UX) Design, Graphics Software, Application Deployment, C# (Programming Language), Scripting

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Machine Learning Algorithms, Data Processing, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI and Model Selection

      Skills you'll gain: Generative AI, Applied Machine Learning, Statistical Modeling, Large Language Modeling, AI Personalization, Machine Learning, Systems Integration, Computational Thinking, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Mastering Neural Networks and Model Regularization

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Üretken Yapay Zekaya Giriş

      Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    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…103104105…119

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

    • النماذج المتعاقبة: DeepLearning.AI
    • Modèles de séquence: DeepLearning.AI
    • Distributed Query Optimization and Security: Johns Hopkins University
    • Game Bots in C#: Develop a Tic-Tac-Toe Agent: Coursera Project Network
    • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
    • 투자 기술의 혁신: AI: University of Michigan
    • Fundamentals of Unity Android Game Development: Packt
    • Introduction to RNN and DNN: Packt
    • Data Mining for Smart Cities: IIT Roorkee
    • GenAI and Model Selection: Coursera Instructor Network

    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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