『Python for Beginners and Machine Learning 2020』のカバーアート

Python for Beginners and Machine Learning 2020

Smarter Ways to Learn Python Programming Guide to Understant Big Data Analytics

プレビューの再生
期間限定

2か月無料体験

聴き放題対象外タイトルです。プレミアムプラン登録で、非会員価格の30%OFFで購入できます。
タイトルを¥1,750 で購入し、プレミアムプランを2か月間無料で試す
期間限定:2025年10月14日(日本時間)に終了
2025年10月14日までプレミアムプラン2か月無料体験キャンペーン開催中。詳細はこちら
オーディオブック・ポッドキャスト・オリジナル作品など数十万以上の対象作品が聴き放題。
オーディオブックをお得な会員価格で購入できます。
無料体験後は月額1,500円で自動更新します。いつでも退会できます。

Python for Beginners and Machine Learning 2020

著者: Myles Bellisario
ナレーター: Liam Remick, Joshua Merrick
タイトルを¥1,750 で購入し、プレミアムプランを2か月間無料で試す

無料体験終了後は月額1,500円で自動更新します。いつでも退会できます。

¥2,500 で購入

¥2,500 で購入

このコンテンツについて

The computer world has acquired a wide range of sorts of individuals. Some are keen on making cash making their very own projects to offer to other people. Here, we will investigate somewhat about Python and why it is regularly favored over the other two programming alternatives. Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves.

The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later on, dependent on the models that we give. The essential aim is to permit the computers to adapt naturally without human intercession or help and modify activities appropriately.

Another definition is that machine learning is the study of getting computers to learn and act like humans do, and improve their learning after some time in independent style, by sustaining them with data and information. Machine learning is a principal subdivision of artificial intelligence. It is the study of getting computers to learn and act like humans do and improve their learning after some time in independent style by sustaining them with data and information. At the point when presented with new data, these computer programs are empowered to learn, change, create, and develop without anyone else's input.

©2020 Mattia Pasquale (P)2020 Mattia Pasquale
コンピュータサイエンス 機械理論・人工知能
まだレビューはありません