Webinar PHP-ID: Machine Learning dengan PHP
0 likes1,295 views
The document discusses online learning concepts and coding in PHP, focusing on artificial intelligence and machine learning. It highlights various AI applications such as smart health, cybersecurity, and natural language processing, while also detailing machine learning algorithms and their implementation in PHP using libraries like PHP-ML and Rubix ML. Additionally, it includes example projects and emphasizes that optimal solutions do not always require advanced tools.
![Machine Learning (Pemelajaran Mesin)
• The science and engineering of making intelligent machines [John
McCarthy]
• Sebuah cabang dari ilmu komputer yang berkaitan dengan bagaimana
mensimulasikan kecerdasan pada komputer
• Kemampuan mesin untuk meniru kecerdasan manusia
• Salah satu cabang dari kecerdasan buatan yang membahas mengenai
pembangunan sistem yang didapat berdasarkan pada pemelajaran
data, atau sebuah studi yang mempelajari cara untuk memprogram
sebuah komputer untuk belajar [Wikipedia]](https://image.slidesharecdn.com/webinarphpid-machinelearningdgphp-210220051424/85/Webinar-PHP-ID-Machine-Learning-dengan-PHP-6-320.jpg)
Webinar PHP-ID: Machine Learning dengan PHP
- 1. Konsep dan Coding PHPID ONLINE LEARNING #55 https://web.facebook.com/groups/phpid Jumat, 19 Februari 2021 @19.00 WIB a.k.a ACHMATIM Lecturer – PHP Web Developer
- 2. Achmad Solichin Dosen - Web Developer - Trainer @achmatim Achmad Solichin achmatim@gmail.com http://achmatim.net Universitas Budi Luhur, Jakarta http://youtube.com/c/AchmadSolichin
- 3. artificial intelligence “the designing and building of intelligent agents that receive percepts from the environment and take actions that affect that environment” Russel & Norvig, 2016 “Artificial Intelligence: A Modern Approach”
- 5. 1.Robotic Process Automation 2.Smart Health 3.AI For Cybersecurity & Data Breaches 4.Natural Language Processing 5.Reinforcement Learning 6.Smart City 7.Smart Education 8.Touchless Technology 9.Ai-powered Business Processing, Forecasting, And Analysis 10.Quantum AI Scan dan tonton video lengkapnya
- 6. Machine Learning (Pemelajaran Mesin) • The science and engineering of making intelligent machines [John McCarthy] • Sebuah cabang dari ilmu komputer yang berkaitan dengan bagaimana mensimulasikan kecerdasan pada komputer • Kemampuan mesin untuk meniru kecerdasan manusia • Salah satu cabang dari kecerdasan buatan yang membahas mengenai pembangunan sistem yang didapat berdasarkan pada pemelajaran data, atau sebuah studi yang mempelajari cara untuk memprogram sebuah komputer untuk belajar [Wikipedia]
- 7. Algoritma Machine Learning Supervised Learning • DT (C4.5), • NBC, • KNN, • ANN, • SVM, • LR, • CART, dll Unsupervised Learning • Apriori, • FPGrowth, • K-Means, • K-Medoids, • DBSCAN, • C-Means, • SOM, dll Reinforcement Learning • Genetic Algorithm, • Dynamic Programming, • Generalized Policy Iteration, • Monte Carlo, dll Deep Learning • Convolutional Neural Networks (CNN), • Deep Belief Networks (DBN), • Restricted Boltzmann Machine (RBM), • Stacked Autoencoders, dll
- 8. Learning Evolution INPUT Fixed set of rules OUTPUT Rule-based INPUT Hand designed features LEARNING OUTPUT Classic Machine Learning INPUT Automated features extraction LEARNING OUTPUT Representative Learning INPUT Low level features LEARNING OUTPUT High level features Deep Learning Sumber: https://www2.slideshare.net/DimaFishman/5-introduction-to-neural-networks Scan & tonton video Deep Learning
- 9. ML System Deployment Learning / Training / Pemodelan Model / Rule Perfor mance Data training Data testing ML System Deployment Raw data Data preprocessing Dataset
- 10. ML dengan PHP ? PHP Native
- 11. Fresh approach to Machine Learning in PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library. PHP-ML requires PHP >= 7.1. Download at https://php-ml.readthedocs.io/en/latest
- 13. Association rule Lerning: Apriori Classification: SVC, k-Nearest Neighbors, Naive Bayes Regression: Least Squares, SVR Clustering: k-Means, DBSCAN Metric: Accuracy, Confusion Matrix, Classification Report Workflow: Pipeline Neural Network: Multilayer Perceptron Classifier Cross Validation: Random Split, Stratified Random Split Feature Selection: Variance Threshold, SelectKBest Preprocessing: Normalization, Imputation missing values Feature Extraction: Token Count Vectorizer, Tf-idf Transformer Datasets: Iris, Wine, Glass
- 14. A high-level machine learning and deep learning library for the PHP language. Developer-friendly API is delightful to use 40+ supervised and unsupervised learning algorithms Support for ETL, preprocessing, and cross-validation Open source and free to use commercially Download at https://rubixml.com/
- 16. Check out these example projects using the Rubix ML library. Most come with instructions and a pre-cleaned dataset. 1. CIFAR-10 Image Recognizer 2. Color Clusterer 3. Credit Default Risk Predictor 4. Divorce Predictor 5. Dota 2 Game Outcome Predictor 6. Human Activity Recognizer 7. Housing Price Predictor 8. Iris Flower Classifier 9. MNIST Handwritten Digit Recognizer 10.Text Sentiment Analyzer
- 17. Contoh Implementasi di Skripsi
- 18. Demo Coding dengan PHP-ML dan Rubix ML
- 19. solusi terbaik tidak selalu membutuhkan metode atau tools canggih, hebat dan terbaru solusi terbaik adalah solusi yang dapat menyelesaikan permasalahan secara optimal http://youtube.com/c/AchmadSolichin
- 20. TERIMA KASIH | SEMOGA BERMANFAAT