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    Results for "nlp"

    • Google Cloud

      Art and Science of Machine Learning en Español

      Skills you'll gain: Tensorflow, Performance Tuning, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Regression Analysis, Google Cloud Platform

      4.7
      Rating, 4.7 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • Coursera Project Network

      Explainable AI: Scene Classification and GradCam Visualization

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Artificial Neural Networks, Data Processing, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      Google Cloud

      Encoder-Decoder Architecture

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      42 reviews

      Advanced · Course · 1 - 4 Weeks

    • University of California, Davis

      Computational Social Science Capstone Project

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Databases, Social Sciences, Data Collection, Unstructured Data, Big Data, Simulations, Data Mining, Machine Learning, Computational Thinking, IBM Cloud, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Edureka

      Power BI for Data Science and Analytics

      Skills you'll gain: Power BI, Business Intelligence, Data Modeling, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Dashboard, Data Storytelling, Text Mining, Data Science, Performance Metric, Data Cleansing, Image Analysis, Data Transformation, Data Manipulation, Natural Language Processing

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Packt

      Harnessing Open Source LLMs and ChatGPT with Minimal Code

      Skills you'll gain: ChatGPT, OpenAI, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Generative AI, Python Programming, Software Installation, Open Source Technology, Live Streaming, Development Environment, Real Time Data

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Classify Text into Categories with the Natural Language API

      Skills you'll gain: Text Mining, Natural Language Processing, Cloud API, Google Cloud Platform, Unstructured Data, Classification And Regression Tree (CART), Application Programming Interface (API)

      Intermediate · Project · Less Than 2 Hours

    • Codio

      Getting Started with Generative AI APIs

      Skills you'll gain: OpenAI, Large Language Modeling, Generative AI, ChatGPT, Prompt Engineering, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      DeepLearning.AI

      Building Your Own Database Agent

      Skills you'll gain: SQL, Database Systems, Query Languages, Generative AI Agents, Microsoft Azure, OpenAI, Natural Language Processing, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Generative AI, Agentic systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Beginner · Project · Less Than 2 Hours

    • 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
      ·
      50 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Columbia University

      Visual Perception

      Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Feature Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      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

    Searches related to nlp

    nlp in engineering: concepts & real-world applications
    nlp: twitter sentiment analysis
    nlp system architecture and dev-ops
    nlp modelos y algoritmos
    nlp – embeddings & text preprocessing in python
    nlp – machine learning models in python
    building ai agents: automation and nlp foundations
    gen ai foundational models for nlp & language understanding
    1…333435…60

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

    • Art and Science of Machine Learning en Español: Google Cloud
    • Explainable AI: Scene Classification and GradCam Visualization : Coursera Project Network
    • Encoder-Decoder Architecture: Google Cloud
    • Computational Social Science Capstone Project: University of California, Davis
    • Power BI for Data Science and Analytics: Edureka
    • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
    • Classify Text into Categories with the Natural Language API: Google Cloud
    • Getting Started with Generative AI APIs: Codio
    • Building Your Own Database Agent: DeepLearning.AI
    • Data Science con Python e R: Università di Napoli Federico II

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Nlp

    Natural Language Processing (NLP) courses on Coursera equip learners with a variety of skills crucial for understanding and manipulating human language data, including:

    • Fundamentals of linguistics and how computers interpret human language
    • Techniques for text processing, sentiment analysis, and language modeling
    • Application of machine learning models to NLP tasks such as translation and speech recognition
    • Implementation of NLP solutions using popular programming libraries like NLTK and SpaCy
    • Understanding of advanced concepts in deep learning for NLP, such as transformers and BERT models
    • Ethical considerations in NLP, focusing on bias mitigation and data privacy‎

    NLP courses on Coursera cater to learners with various levels of experience:

    • No prior programming or linguistic experience is required for introductory courses, which cover the basics of NLP and its applications.
    • Intermediate courses expect some familiarity with programming, ideally in Python, and cover more sophisticated techniques in NLP.
    • Advanced courses are suitable for those with a solid background in both programming and machine learning, focusing on cutting-edge NLP technologies and their implications.‎

    Participating in NLP courses on Coursera can lead to a variety of credentials that demonstrate your capabilities:

    • Course certificates for each NLP course you complete, which can highlight your specific skills in language processing.
    • Professional certificates that consolidate your expertise across multiple NLP applications, proving your comprehensive knowledge.
    • Specializations or Mastertrack certificates that explore more complex NLP topics, suitable for advancing your career in data science and AI fields.‎

    Proficiency in NLP can enhance your qualifications for a range of careers in technology and data analysis, including:

    • Data Scientist specializing in text and language data analysis
    • AI Engineer developing systems that understand and generate human language
    • Research Scientist in academia or industry focusing on advancing NLP technologies
    • NLP Specialist in technology firms creating more intuitive user interactions
    • Content Strategist using NLP tools to analyze and optimize digital content

    These roles leverage NLP skills to develop innovative solutions that improve how we interact with technology and each other through language. ‎

    Yes, Coursera offers a variety of free courses across many topics, including NLP. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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