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Avis et commentaires pour l'étudiant pour Launching into Machine Learning par Google Cloud

4.6
2,741 notes
317 avis

À propos du cours

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...

Meilleurs avis

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 :)

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.

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251 - 275 sur 316 Examens pour Launching into Machine Learning

par 김세영

Apr 30, 2019

GOOD

par Sangjun L

May 01, 2019

very good. but difficult for me to absorb everthing

par Rahul K

May 03, 2019

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

par Seungchan L

Apr 20, 2019

중간 이후 부터 google cloud를 쓰는 실습은 좀 어려웠음. 좀 더 자세한 코드 분석에 대한 도움말이 필요함.

par Terry L

Apr 21, 2019

따라하기가 어렵다

par Rohini M

Apr 20, 2019

Little challenging than the first part of the specialization but thoroughly enjoyed deep diving into understanding basic concepts of Machine Learning without being overwhelmed. Great for a person who does not have any previous knowledge.

par 지현 송

Apr 22, 2019

good

par 백규렬(BAEK G

Apr 23, 2019

강좌의 내용은 매우 유익한 것 같다. 하지만 머신러닝에 대해 처음 접하시는 분은 이 강좌를 접할 때 어려움을 겪을 수 도 있을 것 같다.

par 권형구

Apr 27, 2019

What an useful course it was!!

par loossy

Apr 27, 2019

v

par Mina J

Apr 28, 2019

love you. I have got a new perspective on Machine Learning !! great!!

par Stephen H

Apr 14, 2019

good class

par woncheol y

Apr 29, 2019

goood

par Francois R

Apr 08, 2019

Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !

Theory on creating/managing models was good too.

The labs with BigQuery were not that interesting too

par chang g k

May 31, 2019

helpful to understand ML conceptually

par Matthew B

Jun 17, 2019

wish they teach you more of the programming side of things and knowing exactly what and why to upload different libraries and or show us how to build these in the labs. Not the first ML course, I've taken but some new people may be a bit confused on the python / setting up / sql even if they have a general knowledge to python and sql.

par Kunal P

Jul 22, 2019

Amazing to learn

par Ayman S

Jul 26, 2019

The instructor made several mistakes in reading the code like when he read the size of the file and interpreted as the number of records.

par Kaushal K

Aug 11, 2019

Awesome Experience.

par Lee K

Apr 25, 2019

머신러닝의 이론적인 부분부터 적용 예제를 체험해볼 수 있어 종합적이고 좋은 강좌라고 생각합니다.

par Seokchan Y

Apr 26, 2019

This course is more focused on technical side of using Google Cloud system.

It would be better if students could do mini-projects so that we get used to handling GCS.

par Abdullah K

Jun 15, 2019

some ideas discussed need further elaboration, and there should be a set of slides provided or notes that summarizes the key concepts.

par Ankit R

Aug 17, 2019

I got a whole idea on how to work on data from scratch. Model selection, generalization, splitting of data and performance metric were few things I learned from this course.

par Ahmad T

Aug 26, 2019

Excellent One

par xin w

Aug 31, 2019

It is better to give an explanation in detail of the codes