Natural Language Processing Specialization

Colleagues, the “Natural Language Processing Specialization” will equip you to use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words, dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words, recurrent neural networks, LSTMs, GRUs & Siamese networks for sentiment analysis, text generation & named entity recognition, and encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, and answer questions. Build highly marketable skills in Machine Translation, Transformers, Sentiment Analysis, Word2vec, and Attention Models. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. Training modules include: 1) Natural Language Processing with Classification and Vector Spaces, 2) Natural Language Processing with Probabilistic Models, 3) Natural Language Processing with Sequence Models, and 4) Natural Language Processing with Attention Models. 

Enroll today (teams & execs welcome): https://imp.i384100.net/MAKXaM

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)