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

4.6
3,028 notes
340 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 COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

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 340 Examens pour Launching into Machine Learning

par Ashar M

Jul 14, 2018

Great presenter. High energy engaging. The material is more difficult and to develop intuition of why the sampling needs to result in constant RMSE didn't come across.

par Harsh A

Jun 21, 2018

History part was good.

par Tim H

Apr 02, 2018

An interesting and short but intensive course. It introduces a lot of new (to me) tech such as Tensor Flow and Big Query. I learned a lot in a short time, but felt that if I hadn't already had a bit of a grounding in ML I might have been lost. During the course there were a few references to it being part of a specialisation, but I couldn't find what this was and it was not made clear before I signed up that this was the case. Perhaps that is why in the beginning it felt a bit like coming into something half way through, Overall then, interesting and useful, but would benefit from a bit of a clearer setup and explanation of how it fits into the overall Google cloud catalogue.

par Sandeep K

Jul 02, 2018

we need more examples on precision/recall F1 scores..

par Jitender S V

Jun 26, 2018

Starting assignment is a pain. AWS is relatively faster. Nevertheless good course.

par Hasan R

Jun 03, 2018

Along with the complete codes, should also have some hands-on exercises for students to work on.

par Suresh T

Jun 17, 2018

Some of the lecture has only talking, would be better if it got included more slides/reading materials.

par Aditya K

May 19, 2018

Very useful intro to data processing, specially the hashing mechanism to partition the datasets.

The last lab was confusing because the data might have some invalid value. in the jupyter notebook, the sin, and arcsin values were not getting computed (probably?) as I got warning from python .

par Phac L T

Jun 26, 2018

Overall it was great, and very instructive. However, the Short History of ML was a little bit confusing with too many unexplained words and too many details too early.

par Andre A

May 26, 2018

Poor lab setup - have to repeat the step of creating a vm for every lab.

par HYUNSANG H

Apr 16, 2019

Was good. Thank you!

par Minwook P

Apr 30, 2019

Good Course

par ohyesol

May 01, 2019

책으로만 접하기 힘든 기술을더 가까이 접할 수 있는 기회가 되어 좋았습니다.

par 전진호

Apr 30, 2019

개념적 이해를 돕고, TensorFlow를 통하여 모델링 및 테스트를 직접 경험해 볼 수 있어서 좋습니다.

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!!