About this Course
In Course 1 of the Pure Language Processing Specialization, you’ll:
WHAT YOU WILL LEARN
Use logistic regression, naïve Bayes, and phrase vectors to implement sentiment evaluation, full analogies & translate phrases.
SKILLS YOU WILL GAIN
- Machine Translation
- Phrase Embeddings
- Locality-Delicate Hashing
- Sentiment Evaluation
- Vector Area Fashions
Syllabus – What you’ll be taught from this course
11 hours to finish
Sentiment Evaluation with Logistic Regression
Be taught to extract options from textual content into numerical vectors, then construct a binary classifier for tweets utilizing a logistic regression!
7 hours to finish
Sentiment Evaluation with Naïve Bayes
Be taught the idea behind Bayes’ rule for conditional chances, then apply it towards constructing a Naive Bayes tweet classifier of your individual!
8 hours to finish
Vector Area Fashions
Vector house fashions seize semantic which means and relationships between phrases. You’ll discover ways to create phrase vectors that seize dependencies between phrases, then visualize their relationships in two dimensions utilizing PCA.
8 hours to finish
Machine Translation and Doc Search
Be taught to remodel phrase vectors and assign them to subsets utilizing locality delicate hashing, with the intention to carry out machine translation and doc search.
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