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{ | ||
"nbformat": 4, | ||
"nbformat_minor": 0, | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.6.6" | ||
}, | ||
"colab": { | ||
"name": "Day_002_HW.ipynb", | ||
"provenance": [], | ||
"collapsed_sections": [], | ||
"include_colab_link": true | ||
} | ||
}, | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "view-in-github", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"<a href=\"https://colab.research.google.com/github/PatrickRuan/100-Days-Of-ML-Code/blob/master/homework/Day_002_HW.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "Z_K5eGtSaAIS", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"## [作業目標]\n", | ||
"了解機器學習適合應用的領域與範疇。" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "aUtEEtAkaAIV", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"## [作業重點]\n", | ||
"透過瞭解機器學習的運作方式,找出非常適用機器學習應用的領域及其原因" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "TiLKxdYDaAIY", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"## 作業\n", | ||
"請找出一個你認為機器學習可以發光發熱的領域並闡述原因? " | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": { | ||
"id": "_McU9kpXolPu", | ||
"colab_type": "text" | ||
}, | ||
"source": [ | ||
"NLP 領域。\n", | ||
"最符合人類自然溝通的方式,同時由於複雜性,目前沒有方法可以作得比機器學習好。" | ||
] | ||
} | ||
] | ||
} |