# dataScientific

> machine learning, and artificial intelligence

Canonical page: [https://chrome-stats.com/d/com.treillint.datascience](https://chrome-stats.com/d/com.treillint.datascience)

## Overview

- **ID:** `com.treillint.datascience`
- **Platform:** Android
- **Type:** Android app
- **Status:** Available
- **Publisher:** Treillint
- **Category:** EDUCATION
- **Version:** 1.0.0
- **Last updated:** 2026-05-18
- **First published:** 2026-05-18
- **Publisher country:** US
- **Size:** 24 MB
- **Data as of:** 2026-09-08
- **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=com.treillint.datascience)
- **Website:** [https://www.treillint.com](https://www.treillint.com/)
- **Privacy policy:** [https://treillint.com/privacy-policy](https://treillint.com/privacy-policy)

## Description

Science of Data is a mobile learning app for anyone who wants to understand<br>data science, machine learning, and artificial intelligence. It is based on<br>the book &quot;The Science of Data&quot; and brings that content to life in a<br>structured, interactive format you can carry in your pocket.<br><br>WHAT YOU CAN LEARN<br><br>The app covers the full landscape of data science from the ground up: what<br>AI is and why it matters, the mathematical and probabilistic foundations,<br>and the main families of machine learning — supervised learning, unsupervised<br>learning, reinforcement learning, and deep learning. It also covers the data<br>science process (problem framing, data preparation, model training,<br>evaluation, and deployment), Bayesian reasoning, Support Vector Machines,<br>knowledge representation, and a glossary of key concepts. Appendices provide<br>practical language references for Python, R, and MATLAB.<br><br>WHAT YOU CAN DO<br><br>The app includes an AI-powered code generator. Describe what you want to<br>build in plain language and the app produces complete, runnable code in<br>Python, R, or MATLAB — with explanations, expected output, and a package<br>list. Twenty-three ready-made templates cover common tasks like regression,<br>clustering, neural networks, Bayesian inference, and optimization. After each<br>generation, the app suggests follow-up questions to guide learning further.<br><br>HOW YOU NAVIGATE<br><br>Chapters are reachable from a side menu, a quick-jump button, or by swiping<br>left and right in sequence. A keyword search spans all content. Chapters can<br>be bookmarked for quick return. The app remembers your bookmarks, preferred text size, and dark or light display setting.

## Rankings

- #3,204,695 — Overall

## Permissions and access

### Permissions

- `android.permission.INTERNET`
- `com.android.vending.CHECK_LICENSE`
- `com.treillint.datascience.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION`

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Source: [Chrome-Stats](https://chrome-stats.com/d/com.treillint.datascience)
