Computational Linguistics Course
What will I learn?
Vhurai simba remutauro ne Kosi yedu ye Computational Linguistics, yakagadzirirwa nyanzvi dze Business Intelligence. Dzika-dzika mukutsvaga misoro yenyaya ne Latent Dirichlet Allocation, iva shasha pakuongorora mafungiro uchishandisa spaCy ne NLTK, woratidza data yemavara ne Seaborn ne Matplotlib. Simudzira hunyanzvi hwako mukugadzirisa mavara, kusanganisira tokenization ne lemmatization, wodzidza nzira dzinokosha dzekuchenesa data. Pedzisa nehurongwa hwekutaura nekukurukurirana hunobudirira kuti uburitse nzwisiso zvakajeka kuvatambi.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Iva shasha pakutsvaga misoro yenyaya: Fukunura dingindira rakavanzika mudata yemavara ne LDA.
Ita ongororo yemanzwiro: Yerenga manzwiro uchishandisa maturusi e spaCy ne NLTK.
Ratidza data yemavara: Gadzira machati anopa nzwisiso ne Seaborn ne Matplotlib.
Gadzirisa mavara nemazvo: Tokeniza, stem, uye lemmatize ne Python.
Kurukura nzwisiso: Tumira mishumo yakajeka nepfupiso kuvatambi.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.