Tiêu đề Python dan AI Kekinian : Menguasai Hugging Face, LLM, dan Teknologi Terkini.pdf ✅

PYTHON DAN AI KEKINIAN Soegianto Soelistiono & Wahidin |2 DAFTAR ISI Pendahuluan................................................................................................................... 6 Bagian I: Dasar-Dasar Python......................................................................................... 8 Bab 1: Pengenalan Python.............................................................................................. 9 1.1 Mengapa Memilih Python? .................................................................................... 9 1.2 Sejarah dan Perkembangan Python .................................................................... 10 1.3 Instalasi Python dan Lingkungan Pengembangan............................................... 12 1.3.1 Menginstal Python di Windows, Mac, dan Linux ........................................... 12 1.3.2 Mengatur Virtual Environment....................................................................... 19 1.3.3 Alat Pengembangan: VS Code dan Jupyter Notebook ................................. 26 Bab 2: Dasar Pemrograman Python.............................................................................. 30 2.1 Variabel dan Tipe Data ........................................................................................ 30 2.1.1 Numerik, String, dan List............................................................................... 30 2.2.2 Perulangan Dengan For dan While ............................................................... 35 2.3 Fungsi Dasar ....................................................................................................... 38 2.3.1 Mendefinisikan Fungsi................................................................................... 38 2.3.2 Parameter dan Return Value......................................................................... 41 Bagian II: Pemrograman Lanjutan................................................................................. 47 Bab 3: Struktur Data Lanjutan ....................................................................................... 48 3.1 List Comprehension............................................................................................. 48 Anda juga bisa menambahkan kondisi, misalnya hanya menyertakan angka genap ............................................................................................................................... 51 3.2 Tuple dan NamedTuple ....................................................................................... 60 3.3 Menggunakan Collections ................................................................................... 70 Bab 4: Pemrograman Berorientasi Objek...................................................................... 78 4.1 Kelas dan Objek .................................................................................................. 78 4.1.1 Membuat Kelas ............................................................................................. 79 4.1.2 Inheritance dan Polymorphism...................................................................... 83 4.2 Encapsulation dan Abstraction ............................................................................ 84 Bab 5: Modul dan Package ........................................................................................... 89 5.1 Membuat dan Mengimpor Modul ......................................................................... 90 5.2 Mengelola Package dengan pip........................................................................... 92 5.3 Menjelajahi Library Standar Python ..................................................................... 95

PYTHON DAN AI KEKINIAN Soegianto Soelistiono & Wahidin |4 11.3 Monitoring dan Skalabilitas.............................................................................. 163 Bagian IV: Persiapan Data untuk AI............................................................................ 166 Bab 12: Pembersihan Data ......................................................................................... 167 12.1 Pengenalan Pembersihan Data....................................................................... 167 12.2 Teknik Pembersihan Data Dasar..................................................................... 169 12.3 Praktik dengan Python..................................................................................... 174 12.4 Latihan Praktis................................................................................................. 179 Bab 13: Visualisasi Data ............................................................................................. 188 13.1 Pengenalan Visualisasi Data ........................................................................... 188 13.2 Jenis Visualisasi Sederhana............................................................................ 190 13.3 Praktik dengan Python..................................................................................... 197 13.4 Latihan Praktis................................................................................................. 205 BAGIAN V: Fondasi AI yang Mendalam...................................................................... 211 Bab 14 Pengenalan Komprehensif tentang AI ............................................................ 212 14.1 Sejarah AI: Dari Turing hingga Era Modern..................................................... 212 14.2 Definisi dan Prinsip Dasar AI ........................................................................... 212 14.3 Aplikasi AI di Berbagai Industri ........................................................................ 213 BAB 15 Jenis Algoritma AI: Termasuk Reinforcement Learning (RL) ......................... 216 15.1 Pengenalan RL dan Perbedaannya dengan ML dan DL ................................. 216 15.2 Contoh Sederhana RL: Pembelajaran Berbasis Hadiah.................................. 216 15.3 Alat dan Framework untuk RL ......................................................................... 217 BAGIAN VI: Praktik Tingkat Lanjut dengan Tools AI................................................... 220 BAB 16 Pengenalan dan Praktik dengan TensorFlow................................................. 221 16.1 Instalasi dan Konfigurasi TensorFlow .............................................................. 221 16.2 Membangun Model Neural Network Sederhana .............................................. 223 16.3 Optimasi Model dengan Teknik Dasar............................................................. 227 BAB 17 Eksplorasi AutoML untuk Pemula .................................................................. 231 17.1 Apa Itu AutoML dan Manfaatnya ..................................................................... 231 17.2 Pengenalan Alat AutoML ................................................................................. 231 17.3 Eksperimen Praktik: Membangun Model dengan AutoML ............................... 232 BAB 18 Metrik Evaluasi Model AI................................................................................ 236 18.1 Penjelasan Metrik: Akurasi, Precision, Recall, F1-Score ................................. 236 18.2 Implementasi Metrik dengan Scikit-Learn........................................................ 237 18.3 Visualisasi Performa Model ............................................................................. 239