modyuli #1 Xingheniso xa Vutlhari byo Endliwa Nkatsakanyo wa AI, matimu ya yona, na matirhiselo
modyuli #2 Swisekelo swa Dyondzo ya Michini Xingheniso xa dyondzo ya muchini, tinxaka, na dyondzo leyi languteriweke/leyi nga langutisiwangiki
modyuli #3 Nhlayo na Tinhlayohlayo ta ML Algebra ya linear, calculus, ku koteka, na tinhlayo ta dyondzo ya muchini
modyuli #4 Python ya Dyondzo ya Muchini Xingheniso xa Python, NumPy, Pandas, na ku tirhisiwa ka data
modyuli #5 Data Preprocessing Data ku basisa, ku ringanisa swihlawulekisi, na ku hlawula swihlawulekisi
modyuli #6 Dyondzo leyi Langutisiwaka Ku tlhelela endzhaku, ku hlawula, na timetriki ta ku kambela modele
modyuli #7 Ku tlhelela endzhaku ka layini Ku tlhelela endzhaku ka linear yo olova na yo tala, ntirho wa ntsengo, na ku rhelela ka gradient
modyuli #8 Logistic Regression Ku hlawuriwa ka binary, ntirho wa logistic, na mindzilakano ya swiboho
modyuli #9 Mirhi ya swiboho Ku nghenelela eka mirhi ya swiboho, entropy, na ku vuyeriwa ka mahungu
modyuli #10 Random Forests Dyondzo ya Ensemble, ku pfaleriwa hi swikhwama, na makhwati lama nga hlelekangiki
modyuli #11 Michini ya Vector yo seketela Ku hlawuriwa ka margin ya le henhla, margin yo olova, na trick ya kernel
modyuli #12 Dyondzo leyi nga langutisiwangiki Ku hlengeleta, ku hunguta dimensionality, na ku kumiwa ka anomaly
modyuli #13 K-Means Clustering K-means algorithm, ku sunguriwa ka centroid, na ku hlangana
modyuli #14 Nxopaxopo wa Xiphemu xa Nkoka PCA, ku humesiwa ka swihlawulekisi, na ku hunguta dimensionality
modyuli #15 Deep Learning Fundamentals Ku nghenelela eka neural tinetiweki, perceptron, na perceptron ya swiphemu swo tala
modyuli #16 Tinetweke ta Nyurali ta Convolutional CNNs, tilayeri ta convolutional, na ku hlawuriwa ka swifaniso
modyuli #17 Tinetwork ta Nyurali leti vuyeleriwaka RNNs, LSTM, na ku endliwa ka xikombiso xa ntlhandlamano
modyuli #18 Natural Ku Endliwa ka Ririmi Ku lulamisiwa ka matsalwa ka ha ri emahlweni, ku endla tithokini, na ku nghenisa marito
modyuli #19 Dyondzo yo hundzisela Timodelo leti leteriweke ka ha ri emahlweni, ku lulamisa kahle, na zoo ya xikombiso
modyuli #20 Ku kamberiwa na ku hlawuriwa ka timodeli Ku hlawuriwa ka timodeli, ku thyunisiwa ka hyperparameter, na ku tiyisisiwa hi ku tsemakanya
modyuli #21 Ku khoma Tidathaseti leti nga ringaniseriwangiki Ku nga ringani ka tlilasi, ku tekela swikombiso ngopfu, na tithekiniki ta ku tekela swikombiso ehansi
modyuli #22 Ku tirhisiwa ka Xikombiso Ku tirhisiwa ka xikombiso, ku hlanganisiwa ka API, na ku vekiwa ka swikhomela-ndhawu swa Docker
modyuli #23 Mahanyelo ya AI na ku Lulama Ku kumiwa ka xihlawuhlawu, timetriki ta ku lulama, na ku tekeriwa enhlokweni ka mahanyelo
modyuli #24 Tinhlokomhaka to Hlawuleka eka AI Timodelo to tumbuluxa, tindlela ta nyingiso, na AI leyi hlamuseriwaka
modyuli #25 Ku Pfuxeta & Mahetelelo ya Khoso Ku pulana magoza lama landzelaka eka ntirho wa Vutlhari byo Endliwa na Dyondzo ya Muchini
U lunghekele ku dyondza, ku avelana ni ku phikizana?
