NLP Specialization

(0 reviews)

Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.

Key AI Functions:Machine Translation,Transformers,Sentiment Analysis,Word2vec,Attention Models

Description

Reviews

Alternative Tools

Description for NLP Specialization

Implement sentiment analysis, complete analogies, and translate words by employing logistic regression, naïve Bayes, and word vectors.

Utilize dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete, and the identification of part-of-speech identifiers for words.

Utilize Siamese networks, LSTMs, GRUs, and recurrent neural networks in Trax to perform sentiment analysis, text generation, and named entity recognition.

Utilize encoder-decoder, causal, and self-attention to automate the translation of complete sentences, the summarization of text, the development of chatbots, and the answering of questions.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 3 months at 10 hours a week

Schedule: Flexible

Reviews for NLP Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Gen AI: Fraud Detection Analytics

LLMs with Google Cloud and Python

Computer Applications of AI and e-Construction

Master Azure AI (AI, ML, GenAI)

Alternative Tools for NLP Specialization

Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!

#Recurrent Neural Network #Tensorflow

ML in Marketing Specialization

Master the art of machine learning in the field of marketing. This five-course Specialization from Jindal Global Business School (JGBS) is designed for marketing professionals and individuals who are interested in acquiring a more comprehensive understanding of the process of conceptualizing effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.

#Google Analytics #Python Programming Language

CS50's Introduction to AI with Python

Develop an in-depth understanding of artificial intelligence (AI) methodologies, including natural language processing, machine learning, and search algorithms.

#machine translation #reinforcement learning