Natural Language Processing Specialization

Colleagues, in the NLP Specialization you will master techniques through four hands-on courses updated with TensorFlow labs. Learn to use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words. Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words. Use recurrent neural networks, LSTMs, GRUs & Siamese networks for sentiment analysis, text generation and named entity recognition. Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, and answer questions. Gain high-demand skills including: Algorithms, Applied Machine Learning, Artificial Neural Networks, Data Preprocessing, Deep Learning, Dimensionality Reduction, Embeddings, Feature Engineering, Machine Learning Methods, Markov Models, Recurrent Neural Networks (RNNs), Statistical Machine Learning, Supervised Learning, Text Mining, and Transfer Learning. You will acquire hands-on experience with Classification Algorithms, Keras Neural Network Library, and PyTorch Machine Learning Library, Tensorflow. Finally, the four training classes in this specialization cover: 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/n4N4RM

For your listening-reading pleasure:

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

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

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

Success awaits you at the AI Academy (kindly subscribe and share with your colleagues)