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Launching into Machine Learning(으)로 돌아가기

Launching into Machine Learning, Google 클라우드

2,231개의 평가
265개의 리뷰

About this Course

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation. Course Objectives: Identify why deep learning is currently popular Optimize and evaluate models using loss functions and performance metrics Mitigate common problems that arise in machine learning Create repeatable and scalable training, evaluation, and test datasets...

최상위 리뷰

대학: PT

Dec 02, 2018

This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)

대학: PA

Aug 04, 2018

Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.

필터링 기준:

265개의 리뷰

대학: Nayanajith Priyasad

May 26, 2019

It's Nice

대학: Feng Ni

May 14, 2019

Good tutorial with insights to real implementation of ML.

대학: Paripol Toopiroh

May 13, 2019

Very nice to understand ML Concept

대학: Ramees AR

May 12, 2019


대학: Fathima jabbar

May 11, 2019


대학: Minjae Kim

May 08, 2019

It was so easy than I thought. I would like to recommend to my friends.

대학: JoowonLee

May 08, 2019

good but it was so hard...

대학: Gary Thomas

May 06, 2019

Amazing Course, among the top 3 Best available.

대학: Hunter

May 06, 2019

This course is very helpful to understand the machine learning concepts of various modals, splitting of the data and even training the model for benchmark.

대학: Rahul Kumar

May 03, 2019

Phew ... that take a time to sink in but a good approach from google : )