Computational Linguistics Course
What will I learn?
Notlolla matla a puo ka Kopo ya Thuto ya Puo ya Khomphuta, e etselitsoeng litsebi tsa Bohlale ba Khoebo. Kena ka ho teba ho etsa mohlala ka lihlooho le Latent Dirichlet Allocation, ithute ka botlalo tlhahlobo ya maikutlo o sebedisa spaCy le NLTK, mme o bone data ya mongolo ka Seaborn le Matplotlib. Ntlafatsa boiphihlelo ba hao ba ho sebetsana le mongolo, ho kenyeletsa le tokenization le lemmatization, mme o ithute maqheka a bohlokwa a ho hloekisa data. Qetella ka maqheka a tlaleho le puisano a sebetsang ho hlahisa lesedi ka ho hlaka ho bankakarolo.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Ithute ka botlalo ho etsa mohlala ka lihlooho: Sibolla mehopolo e patiloeng ho data ea mongolo ka LDA.
Etsa tlhahlobo ea maikutlo: Lekanya maikutlo u sebelisa lisebelisoa tsa spaCy le NLTK.
Bona data ea mongolo: Theha lichate tse nang le leseli ka Seaborn le Matplotlib.
Sebetsa mongolo ka nepo: Etsa litokene, kutu le lemmatize ka Python.
Fana ka leseli: Fana ka litlaleho tse hlakileng le likhakanyo ho bankakarolo.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to 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 provides practical and relevant knowledge for your career.