Computational Linguistics Course
What will I learn?
Bula maatla a puo ka Thuto ya rona ya Dipuo tsa Dikhomputara, e e diretsweng bomankge ba Botsipa jwa Kgwebo. Ithute ka botlalo go tlhama ditlhogo ka Latent Dirichlet Allocation, itse sentle go sekaseka maikutlo o dirisa spaCy le NLTK, mme o bone tshedimosetso ya ditlhaka ka Seaborn le Matplotlib. Godisa bokgoni jwa gago jwa go baakanya ditlhaka, go akaretsa go kgaoganya ditlhaka le go di tlhopha, mme o ithute mekgwa e e botlhokwa ya go phepafatsa tshedimosetso. Konela ka go bega le go buisana ka bokgabane go tlhalosetsa batho botlhe ka botlalo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go tlhama ditlhogo: Senola meono e e fitlhegileng mo tshedimosetsong ya ditlhaka ka LDA.
Sekaseka maikutlo: Lekanya maikutlo o dirisa didirisiwa tsa spaCy le NLTK.
Bona tshedimosetso ya ditlhaka: Dira ditšhate tse di nang le bokao ka Seaborn le Matplotlib.
Baakanya ditlhaka ka bonako: Kgaoganya, kgaola le go tlhopha ka Python.
Tlhalosa ka botlalo: Neela dipego le dikakaretso tse di phepafetseng mo bathong botlhe.
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’ll 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.