DAFTAR ISI BAB 1 BAHASA PEMROGRAMA R BAB 2 PENGANTAR DALAM DATA BAB 3 SKALA PENGUKURAN BAB 4 KEKURANGAN KELEBIHAN ATA BAB 5 MACHINE LEARNING BAB 6 KORELASI (PEARSON) BAB 7 REGRESI LINEAR BAB 8 DECISION TREE BAB 9 K-NEAREST NEIGHBOUR BAB 10 NAÏVE BAYES BAB 11 REGRESI LOGISTIK BAB 12 CLUSTERING BAB 13 K-MEANS CLUSTERING BAB 14 K-MEDOIDS CLUSTERING
Daftar isi: BAB 1: PENDAHULUAN BAB 2: BOARD BAB 3: ESPLORER IDE BAB 4: MEMBUAT PROGRAM SEDARHANA BAB 5: DASAR-DASAR BAHASA LUA BAB 6: GPIO (GENERAL PURPOSE INPUT OUTPUT) BAB7: TIMER BAB 8: WIFI BAB 9: RTC (REAL TIME CLOCK) BAB 10: EXTERNAL INTERRPTS BAB 11: URT (UNVERSAL ASYMCRONOUS RECEIVER TRANSMITTER) BAB 12: ADC (ANALOG TO DIGITAL CONVERTER) BAB 13: PWM (PILSE WIDTH MODALAT…