Natural Language Processing Fundamentals - Techniques, Tools, and Applications

[dkmdkm]

Free Download Natural Language Processing Fundamentals - Techniques, Tools, and Applications
Lisa Becker | Duration: 3:21 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 1,04 GB | Language: English
This comprehensive course is designed to lay a solid foundation in Natural Language Processing (NLP), a discipline that bridges the gap between human language and computer understanding, and is a cornerstone in the world of data science and artificial intelligence. The ability to analyze and derive meaningful insights from textual data is a highly sought-after skill.
This course serves as a bridge for professionals and students to transition into roles that require NLP expertise. With the help of course instructor and NLP specialist, Lisa Becker, learners will acquire skills such as text analysis and feature engineering. They will work with various language models and understand the underlying technologies which will prepare them to tackle real-world challenges and innovate various sectors including healthcare, finance, e-commerce and beyond. This is not just a skill-enhancement course, but a pathway to unlocking a plethora of opportunities in the rapidly expanding field of AI and machine learning by studying the basics of more traditional NLP techniques as well as the big milestones such as transformers and large language models.
By the end of this course, you will.

• Have a well-rounded understanding of Natural Language Processing, from its linguistic foundations to its latest advancements and applications.
• Acquire hands-on skills in text processing, feature engineering, and the usage of various NLP models, including a deep dive into transformer architectures.
• Be equipped with both theoretical knowledge and practical skills, you will be prepared to apply NLP techniques to real-world problems across diverse industries, while also understanding the ethical implications of this technology.
Homepage

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

No Password - Links are Interchangeable

 

[0dayddl]

Natural Language Processing Fundamentals
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 6h 3m | 13.44 GB
Instructors: Anthony Ng, Dwight Gunning, Sohom Ghosh​

Use Python and NLTK (Natural Language Toolkit) to build your own text classifiers and solve common NLP problems.

Learn

Obtain, verify, and clean data before transforming it into a correct format for use
Perform data analysis and machine learning tasks using Python
Understand the basics of computational linguistics
Build models for general natural language processing tasks
Evaluate the performance of a model with the right metrics
Visualize, quantify, and perform exploratory analysis from any text data

About

If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.

You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots.

By the end of this course, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The course will easily equip you with the knowledge you need to build applications that interpret human language.

Features

Assimilate key NLP concepts and terminologies
Explore popular NLP tools and techniques
Gain practical experience using NLP in application code

Bitte Anmelden oder Registrieren um Links zu sehen.

Download
Fikper

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

FileAxa

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

FileStore
TurboBit

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!