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Advanced Machine Learning Course
Oketsa bokgoni jwa gago jwa Botlhale jwa Kgwebo ka Thuto ya rona e e Tseneletseng ya Go Ithuta ka Botlalo ka Dikhomputara. Ithute ka botlalo mekgwa ya go tlhotlhomisa tshedimosetso, itse go dira ditshupo tsa isago, mme o ithute go tlhaloganya ditshupo tsa modumo ka botlalo. Bona bokgoni mo go bolelelela isago ka dinako ka dirisiwa tsa ARIMA, Prophet, le LSTM. Oketsa bokgoni jwa gago mo go thapiseng modumo, go sekaseka, le go baakanya diparametara tsa modumo. Thuto e e neela diteng tse di mosola, tse di kaliti e e kwa godimo tse di diretsweng go go fa didirisiwa tse o di tlhokang go dira ditshwetso tse di ikaegileng ka tshedimosetso e e nang le mosola.
- Ithute go tlhotlhomisa tshedimosetso ka botlalo: Senola dintlha tse di botlhokwa ka didirisiwa tsa EDA le visualization.
- Bokgoni jwa go dira ditshupo tsa isago: Tlhaloganya le go bega ditshupo tsa modumo ka botlalo.
- Bokgoni jwa go bolelela isago ka dinako: Ithute dirisiwa tsa ARIMA, Prophet, le LSTM go bolelela isago.
- Mekgwa ya go sekaseka modumo: Dirisa cross-validation le metara ya maduo.
- Go baakanya diparametara: Dira gore modumo o bereke sentle ka grid search le mekgwa ya Bayesian.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Oketsa bokgoni jwa gago jwa Botlhale jwa Kgwebo ka Thuto ya rona e e Tseneletseng ya Go Ithuta ka Botlalo ka Dikhomputara. Ithute ka botlalo mekgwa ya go tlhotlhomisa tshedimosetso, itse go dira ditshupo tsa isago, mme o ithute go tlhaloganya ditshupo tsa modumo ka botlalo. Bona bokgoni mo go bolelelela isago ka dinako ka dirisiwa tsa ARIMA, Prophet, le LSTM. Oketsa bokgoni jwa gago mo go thapiseng modumo, go sekaseka, le go baakanya diparametara tsa modumo. Thuto e e neela diteng tse di mosola, tse di kaliti e e kwa godimo tse di diretsweng go go fa didirisiwa tse o di tlhokang go dira ditshwetso tse di ikaegileng ka tshedimosetso e e nang le mosola.
Elevify advantages
Develop skills
- Ithute go tlhotlhomisa tshedimosetso ka botlalo: Senola dintlha tse di botlhokwa ka didirisiwa tsa EDA le visualization.
- Bokgoni jwa go dira ditshupo tsa isago: Tlhaloganya le go bega ditshupo tsa modumo ka botlalo.
- Bokgoni jwa go bolelela isago ka dinako: Ithute dirisiwa tsa ARIMA, Prophet, le LSTM go bolelela isago.
- Mekgwa ya go sekaseka modumo: Dirisa cross-validation le metara ya maduo.
- Go baakanya diparametara: Dira gore modumo o bereke sentle ka grid search le mekgwa ya Bayesian.
Suggested summary
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