Launching into Machine Learning 日本語版(으)로 돌아가기

4.4
별점
49개의 평가
9개의 리뷰

필터링 기준:

## Launching into Machine Learning 日本語版의 9개 리뷰 중 1~9

교육 기관: Amin K

2019년 10월 6일

This one of best hands on course to start Machine Learning. It is a good combination of theory which is to the point a beginner needs to know and practical example with TensorFlow playground.

With two hands on labs in GCP environment to delve into the real world problems and 3 quizzes on the course made it a solid starting point. It would be good for some one who already know some linear equation staffs and bigquery. However, it isn't must. Just follow the course is enough and repeating where it becomes difficult. It needs time. I need to pause and pen and paper to take notes many places. There are lots of technical terms we need to remember. So better review the course again after completing it would be great make the understanding more sustainable.

교육 기관: Pierre L M

2019년 9월 21일

Good course, liked the historical part, good to set up the context, explanations are good, labs are interesting but I need to learn a bit of SQL syntax

교육 기관: Muhammad U A

2019년 1월 6일

This is best course on learning basic of machine learning and splitting data on GCP using big query

교육 기관: Chiharu M

2019년 10월 13일

교육 기관: Hiroshi Y

2019년 9월 28일

・勾配降下法を用いたモデル最適化

・ニューラルネットワークと線形モデルとの違い。活性化関数

・回帰問題用のRMSE

・パフォーマンス指標（正解率、精度、再現率）

・効率的にモデルを評価するためのシンプルなベンチマーク

・汎化（複雑なモデルを学習させ、RMSEが0になったとしても汎化できていないと未知のデータに対応できない。つまり予測に使えない。汎化が必要）

・繰り返し利用可能なデータの分割方法。余剰演算子とハッシュ関数（損失関数に影響を与えないパラメータを用いる）

교육 기관: Yoshiyuki K

2019년 8월 29일

TensorFlow PlaygroundやBigQueryに触れることができたのは有益だった。数式が当然のように出てくるのは少し辛いかもしれない。。。

교육 기관: Yasuma O

2021년 5월 22일

교육 기관: Nobuyuki S

2019년 1월 14일

StanfordのMachine Learningをやっている方には既知の情報が少なからずあります。

Big QueryのHands Onができることがメリットかと思います。

교육 기관: B J P

2021년 5월 4일

Why do I not see English language in all parts of this course?

Only Japanese in some parts (especially quizes)

You are dumbasses or con-artists - pick one.