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www.AutoML5.com (NTUT AutoML, Automatic Machine Learning. Build your own prototypes in just days, not weeks! And carry on implementation and deployment!!) Need help to build prototypes within days? Please Contact Us or Report Issues.

ppt Introducing, video Introducing, Quick Demo, Quick Starting Guide, Product, Cases Study, Report Issues, Contact Us

(Choose Backup Server1, Backup Server2, Backup Server3 if you experience errors in AutoML5.com !)

(We showcase AutoML5.com at Nvidia 2021 GTC Conference by delivering a speech titled “Forecast Remaining Useful Life of Lithium-ion Battery with features extraction using Time Backtracking Method”. Link to Steve's speech in Nvidia 2021 GTC Conference. Link to speech video! )

See Slides of Introducing NTUT AutoML5.com . Here is Quick Starting Guide to help you get started!

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autoML by NTUT

Development Team

  • NTUT AutoML is a tool targeting people who would like to solve industrial problems using latest AI and Machine Learning, but don't know where to get started. This autoML tool is suitable for manufacturing, retailers, FinTech & insurance, medical and all other industries.

  • Taking our 5 steps approach to jump start your very first step toward AI and Machine Learning and build your own prototypes in just days, not weeks!

    • Step 1. Upload training dataset

    • Step 2. Select classifier: AutoML

    • Step 3. Click Train!

    • Step 4. Upload dataset to predict

    • Step 5. Click Predict

Cases Study: Customer applications of NTUT AutoML (click link below to see how capable AutoML5.com is?) See Slides of Introducing NTUT AutoML5.com

  • Cross Industry:

    • Employee Resignation Prediction

    • Inventory Demand Forecasting: Demand Forecast of Pharmaceutical Drugs

    • Raw Material Price Prediction

    • Product appearance defects detection: stain, scratch & broken in case & chassis of electronic products (電子產品機殼外觀瑕疵), textile cloth (布料瑕疵) and Injection Molding products (射出成型外觀瑕疵)

    • Recipe Forecast for Petrochemical, Food and Textile Industry

  • Manufacturing: Semiconductor Industry Fraud Detection (virtual metrology for quality inspection)

  • Agriculture: Pineapple Defect Detection (農業：鳳梨瑕疵偵測)

  • Manufacturing: PHM: Prognostics and Health Management (Predictive Maintenance) (製造業：預測維修)

    • Predict if a machine, device or battery will fail within a predefined cycles.

    • Predict the Remaining Useful Life (RUL) of a machine, device or battery.

    • Predict if a pump will fail within a predefined cycles. (English version)

    • Predict the Remaining Useful Life (RUL) of a pump. (Chinese version)

  • Electronic Industry: Backup Equipment Selection Strategy

  • Electronic Industry: Finding the key factors causing low yield rate in production line...

  • Automobile Industry:

    • Battery RUL (Remaining Useful Life) Prediction

    • Apply NTUT autoML to forecast Remaining Useful Life of Lithium-ion Battery with features extraction using Time Backtracking Method

  • Quality prediction of processed parts (virtual metrology for quality inspection)...

  • Fin-Tech Section: Stocks, Commodities and Futures (金融科技)

    • Retailer Industry: Building Marketing Strategy with segmentation & clustering...

    • Banking Industry: Credit Cards Fraud Detection (信用卡盜刷偵測)

    • Investment Industry: Forecast Customers purchasing of financial products using consumer behaviors (消費者行為分析與預測金融商品購買項目 )

    • Real Estate Appraisal: Housing Price Prediction

    • Short-term trend prediction of Taiwan Stock Index (TAIEX) (預測中短期台股指數漲跌幅)

    • FOREX: EURUSD Trading Strategy generated from model's prediction (歐元美金外匯交易策略)

    • Deep Learning Model for EURUSD Forecasting: one minute forward multiple cycles prediction (使用機器學習模型來預測 EURUSD 匯率與其走勢 )

    • Predictive Money Laundering Suspicious Activity Reporting for Bank (疑似洗錢案例偵測)

    • Building a Trading Bot to trade (backtest) based on Trading Strategy from model's prediction (使用所建立的外匯預測模型，並應用 CTrader 建立自動交易機器人做回測，評估交易策略績效)

    • Building Trading Strategy of Cryptocurrency - Backtesting, Evaluating and Optimizing a Trading Strategy for Cryptocurrency (建立虛擬貨幣交易策略–回測、評估、交易策略最佳化)

  • Fin-Tech Section: Insurance Industry (保險科技)

    • Insurance Claiming Risk Management (索賠風險預測)

    • Create Insurance Products Recommendations for potential customers and provide a precise sales list to sales representatives using Machine Learning. (以機器學習方法建立保險商品推薦模型，並提供精準的銷售名單給業務員)

    • Forecast renewal amount of existing customers...

    • 使用機器學習方法建立理賠詐欺風險評估模型...

  • Medical Applications:

    • Diagnosis of COVID-19 patients using CT scan images

    • Analyze ICU patients' Electronic Health Records (EHRs) to predict patient mortality at any time of interest

    • Train a Neural Network on Fine Needle Aspirate (FNA) of breast mass to diagnose Breast Cancer

    • Demand Forecast of Pharmaceutical Drugs

AutoML5.com has been used by the following institutions:

Industry: ITRI, CPC, TEEIA, Tiger Power, DAXIN, LECC Technology, DAN-CHIEF-Technology

Academia: NTUT, NTUNHS, MCUT, MCU, TMUST, Tamkang Univ. NTUST, CHU

Release notes

Version Date Items Remark

1.0 10/08/2020 initial Case Study added: SemiCon Industry Fraud Detection

1.1 10/10/2020 autoML: classification / Case Study added: PHM: Prognostics and Health Management

1.2 10/17/2020 LSTM-Time Series Case Study added: Backup Equipment Selection Strategy

1.3 10/30/2020 autoML: regression Case Study added: Housing Price Prediction

1.4 11/15/2020 Cluster: KMean Case Study added: Insurance Claiming Risk Management

1.5 11/20/2020 autoML: clustering Case Study added / Building Trading Strategy of Cryptocurrency / Train a Neural Network on Fine Needle Aspirate (FNA) of breast mass to diagnose Breast Cancer / FOREX: EURUSD Trading Strategy

1.5~1.9 02/11/2021 Now, we have 10 Cases Study! Battery, pump Cases Study added!