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    Results for "algorithms"

    • U

      University of Washington

      머신 러닝: 회귀 모델

      Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Supervised Learning Regression Classification Clustering

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Responsible AI - בעברית

      Skills you'll gain: Data Ethics, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Ace the Computer Science Interview: Strategies for Success

      Skills you'll gain: Verbal Communication Skills, Communication, Critical Thinking, Problem Solving, Composure, Computer Programming, Computer Science, Planning, Complex Problem Solving, Algorithms, Data Structures, Stress Management, Adaptability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

      Skills you'll gain: Deep Learning, Tensorflow, Test Data, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Network Performance Management, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Probability & Statistics, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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

    • 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

    • 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
      Status: Free Trial
      Free Trial
      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

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms for searching, sorting, and indexing
    algorithms, data collection, and starting to code
    algorithms on graphs
    algorithms for dna sequencing
    algorithms on strings
    algorithms for battery management systems
    1…102103104…118

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

    • 머신 러닝: 회귀 모델: University of Washington
    • Supervised Learning Regression Classification Clustering: Simplilearn
    • Introduction to Responsible AI - בעברית: Google Cloud
    • Ace the Computer Science Interview: Strategies for Success: Coursera Instructor Network
    • Practical Deep Learning with Python: Edureka
    • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
    • Data Visualization and Modeling in Python: Duke University
    • النماذج المتعاقبة: DeepLearning.AI
    • Distributed Query Optimization and Security: Johns Hopkins University
    • Modèles de séquence: 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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