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    • Nlp

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    335 résultats pour ''nlp'

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      DeepLearning.AI

      Natural Language Processing

      Compétences que vous acquerrez : Machine Learning, Natural Language Processing, Statistical Programming, Python Programming, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Data Science, Statistical Machine Learning, Probability & Statistics, Algorithms, Bayesian Statistics, Communication, Computer Graphics, Computer Programming, Dimensionality Reduction, Experiment, General Statistics, Human Computer Interaction, Machine Learning Software, Markov Model, Mathematics, Operations Research, Regression, Research and Design, Strategy and Operations, Theoretical Computer Science, User Experience

      4.6

      (4.9k avis)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Compétences que vous acquerrez : Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (7.9k avis)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      Deep Learning

      Compétences que vous acquerrez : Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (137.7k avis)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Compétences que vous acquerrez : Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, Artificial Neural Networks, Data Science, Machine Learning Algorithms, Statistical Machine Learning, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming

      4.6

      (6.1k avis)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Compétences que vous acquerrez : Data Science, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Python Programming, Statistical Programming, Bayesian Statistics, Computer Programming, Deep Learning, Dimensionality Reduction, Experiment, General Statistics, Machine Learning Software, Mathematics, Probability & Statistics, Regression

      4.6

      (3.8k avis)

      Intermediate · Course · 1-4 Weeks

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      Coursera Project Network

      Fine Tune BERT for Text Classification with TensorFlow

      Compétences que vous acquerrez : Applied Machine Learning, Computer Programming, Deep Learning, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Tensorflow

      4.6

      (166 avis)

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Compétences que vous acquerrez : Computer Programming, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Data Management

      4.6

      (337 avis)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Michigan

      Python for Everybody

      Compétences que vous acquerrez : Computer Programming, Python Programming, Statistical Programming, Data Management, SQL, Databases, Extract, Transform, Load, Computer Networking, Network Model, Other Programming Languages, Computational Logic, Computer Programming Tools, Data Structures, Javascript, Natural Language Processing, Programming Principles, Software Architecture, Software Engineering, Theoretical Computer Science, Web Development

      4.8

      (260.4k avis)

      Beginner · Specialization · 3-6 Months

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      Google Cloud

      Advanced Machine Learning on Google Cloud

      Compétences que vous acquerrez : Machine Learning, Cloud Computing, Google Cloud Platform, Cloud Platforms, Probability & Statistics, Business Psychology, General Statistics, Entrepreneurship, Statistical Programming, Apache, Cloud Applications, Data Management, Deep Learning, Machine Learning Software, Natural Language Processing, Python Programming, Reinforcement Learning, Tensorflow, Performance Management, Strategy and Operations, Applied Machine Learning, Artificial Neural Networks, Cloud API, Computational Thinking, Computer Architecture, Computer Programming, Computer Vision, Data Analysis, Data Engineering, Distributed Computing Architecture, Hardware Design, Machine Learning Algorithms, Other Cloud Platforms and Tools, Theoretical Computer Science

      4.5

      (1.4k avis)

      Advanced · Specialization · 3-6 Months

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      DeepLearning.AI

      Natural Language Processing with Attention Models

      Compétences que vous acquerrez : Artificial Neural Networks, Machine Learning, Deep Learning, Natural Language Processing, Python Programming, Statistical Programming, Computer Programming, Human Computer Interaction, Machine Learning Algorithms, User Experience

      4.3

      (832 avis)

      Intermediate · Course · 1-4 Weeks

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      University of Michigan

      PostgreSQL for Everybody

      Compétences que vous acquerrez : Databases, SQL, Computer Programming, Data Management, Statistical Programming, Machine Learning, PostgreSQL, Cloud Computing, Database Application, Database Design, Theoretical Computer Science, NoSQL, Data Model, Cloud Applications, Javascript, Natural Language Processing, Python Programming, Software Architecture, Software Engineering, Web Development, Computational Logic, Data Structures, Mathematical Theory & Analysis, Mathematics, Programming Principles

      4.7

      (824 avis)

      Intermediate · Specialization · 3-6 Months

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      Coursera Project Network

      Transfer Learning for NLP with TensorFlow Hub

      Compétences que vous acquerrez : Applied Machine Learning, Computer Programming, Databases, Deep Learning, Machine Learning, Natural Language Processing, Python Programming, Statistical Programming, Tensorflow

      4.8

      (150 avis)

      Intermediate · Guided Project · Less Than 2 Hours

    Recherches liées à nlp

    nlp modelos y algoritmos
    nlp: twitter sentiment analysis
    nlp system architecture and dev-ops
    deploy an nlp text generator: bart simpson chalkboard gag
    deploy bridgerton nlp sms text generator
    البرمجة اللغوية العصبية | nlp
    transfer learning for nlp with tensorflow hub
    building a unique nlp project: 1984 book vs 1984 album
    1234…28

    En résumé, voici 10 de nos cours nlp les plus populaires

    • Natural Language Processing: DeepLearning.AI
    • Machine Learning: DeepLearning.AI
    • Deep Learning: DeepLearning.AI
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Fine Tune BERT for Text Classification with TensorFlow: Coursera Project Network
    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Python for Everybody: University of Michigan
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Natural Language Processing with Attention Models: DeepLearning.AI

    Compétences que vous avez acquises en Software Development

    Langage De Programmation (34)
    Google (25)
    Programme Informatique (21)
    Test De Logiciels (21)
    Web (19)
    Google Cloud Platform (18)
    Interfaces De Programmation Applicatives (17)
    Structure Des Données (16)
    Résolution De Problèmes (14)
    Programmation Orientée Objet (13)
    Kubernetes (10)
    List & Label (10)

    Questions fréquentes sur Nlp

    • Natural language processing, or NLP, is the field of artificial intelligence (AI) focused on enabling computers to understand and use human language. By drawing on insights from linguistics and cutting edge computer science, NLP is playing an increasingly important role in helping computers understand people - and, conversely, in helping humans better navigate our increasingly digital world.

      For example, NLP is essential to programming digital assistants that respond accurately to voice commands, such as Alexa or Google Home. It also enables the creation of chatbots capable of addressing common customer service inquiries. Beyond customer-facing tools, NLP is also used for sentiment analysis applications used by businesses to assess social media responses to their brand, or services capable of automatically creating clearly-written summaries of text or datasets.

      Like other areas of AI and deep learning, NLP relies on machine learning (ML) algorithms organized in neural network architectures. Because neural networks mimic the structure of the human brain itself, these approaches are particularly well suited for natural language processing. And, as with other AI/ML applications, work in NLP is most commonly done in TensorFlow or Python programming.

      Natural language processing is one of the trending job skills in Coursera's 2020 Global Skills Index (GSI). Download the 2020 edition of the GSI report.‎

    • It’s an exciting time to work in natural language processing, as more and more organizations are exploring ways to use chatbots, digital assistants, and other NLP applications. This trend has been further accelerated by the Covid-19 epidemic, as the transition away from physical help desks and customer service departments has led companies to try new modes of interacting with customers. Thus, a familiarity with NLP approaches can be useful to software developers, data scientists, and other professionals in tech.

      Professionals wishing to leverage their expertise in natural language processing to develop new approaches in this field may pursue a master’s degree or even a doctorate in computer science. In NLP and other areas, computer research scientists are in high demand; according to the Bureau of Labor Statistics, they earn a median annual salary of $122,840 per year, and jobs in this field are expected to grow much faster than average over the next decade.‎

    • Certainly. Coursera offers a wealth of courses and Specializations in computer science, data science, and artificial intelligence, including courses specifically focused on NLP applications. These courses are offered by top-ranked institutions such as deeplearning.ai, the University of Michigan, and the National Research University Higher School of Economics. You can also learn about NLP with hands-on Guided Projects from Coursera, which help you build new skills with tutorials presented by experienced instructors.‎

    • The skills or experience you may need to have before starting to learn about natural language processing (NLP) can include understanding the basics of linguistics, programming, and statistical analysis. You may also want to have the ability to understand the basic concepts of artificial intelligence. Also, you may need to have some familiarity with the basics of linear algebra, probability theory, machine learning setup, and deep neural networks. The ability to understand linguistics means you may already know the meaning of semantics and symbolism in language. Having a basic understanding of programming and statistical analysis may be required because NLP is used to help humans interact with all kinds of computers and devices. In addition, you have experience in industries, such as medicine, law, or finance and banking, you may already have some skills needed to learn NLP because artificial intelligence, or the algorithms used to understand and manipulate human language, is already being used for tools such as medical records, legal documents, and financial insights.‎

    • The kind of person best suited to learn NLP is interested in language and words. People who like to understand the subtle and ambiguous ways that words and sentences convey meaning to a human enjoy learning about NLP. Someone interested in how devices use artificial intelligence to make decisions for humans may be well suited to learn NLP. A person who is comfortable living in the world of automated language and personal assistants (such as Siri and Alexa) may find learning NLP worthwhile too.‎

    • Learning NLP may be right for you if you're passionate about the future of artificial intelligence. NLP may be beneficial for you to learn if you plan to work as a software developer in the field of artificial intelligence that requires complex programming skills, applications, and systems such as machine translation of sentences and building chatbots, for example. NLP may be beneficial for you to learn if you need to understand algorithms, such as Naïve Bayes Classifier, which is a common classification algorithm that makes fast machine predictions. Studying NLP may also be right for you if you are a software developer who needs to understand how to build NLP systems using TensorFlow, a popular open-source framework for machine learning.‎

    Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.
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