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    Results for "algorithms"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C++ For C Programmers, Part A

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Data Structures, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Advanced Analytics, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Peking University

      算法设计与分析 Design and Analysis of Algorithms

      Skills you'll gain: Algorithms, Mathematical Modeling, Pseudocode, Computational Thinking, Theoretical Computer Science, Mathematical Theory & Analysis, Design Strategies, Data Structures, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G
      N
      G
      N

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: an Overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, Ethical Standards And Conduct, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Artificial Intelligence, Reinforcement Learning, General Data Protection Regulation (GDPR), Dimensionality Reduction, Governance, Cloud Platforms, Deep Learning, Law, Regulation, and Compliance, Computer Science, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      621 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      360 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Artificial Intelligence in Marketing

      Skills you'll gain: Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Algorithms, Business Strategy, Competitive Analysis, Network Analysis, Customer experience improvement, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      764 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    Searches related to algorithms

    algorithms specialization
    algorithms, part i
    algorithms, data collection, and starting to code
    algorithms for searching, sorting, and indexing
    algorithms on graphs
    algorithms for dna sequencing
    algorithms for battery management systems
    algorithms on strings
    1…171819…120

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

    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • C++ For C Programmers, Part A: University of California, Santa Cruz
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • 算法设计与分析 Design and Analysis of Algorithms: Peking University
    • A Crash Course in Data Science: Johns Hopkins University
    • Machine Learning for Trading: Google Cloud
    • Artificial Intelligence: an Overview: Politecnico di Milano
    • AI Infrastructure and Operations Fundamentals: NVIDIA
    • Artificial Intelligence in Marketing: University of Virginia
    • NoSQL, Big Data, and Spark Foundations: IBM

    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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