并将Visual Studio的开发体验带入到Mac平台上。

> Congratulations on finishing *Machine Learning Foundations* ! As you now know, this course was hardly just about the foundations. At this point, you can implement intelligent applications using *regression*, *classification*, *nearest neighbor search*, *clustering*, *collaborative filtering*, and **deep learning**...WOW! With these ML methods, your intelligent applications can perform predictions, personalized recommendations and retrieval, learn non-linear features that improve the accuracy of your solution, and much more. Show your friends and family your new skills.


> We know that this course was jam-packed with tough concepts, and your persistence and hard work have laid a strong foundation for taking the follow-on courses:
>
- Regression
- Classification
- Clustering & Retrieval
- Recommender Systems & Dimensionality Reduction
- Machine Learning Capstone: An Intelligent Application with Deep Learning


> We highly recommend this full sequence as a way to become a machine learning expert, ready to develop and deploy new intelligent applications.


> Also, now that you're a Machine Learning Foundations wizard, we encourage you to apply to be a course mentor!


> Emily and Carlos


The above is cited from [here](https://www.coursera.org/learn/ml-foundations/home/welcome).


# Closing Remarks


Yes, I have completed this course. I am so excited, but I must carry on machine learning. This is not ending.


My certification is followed,


![foundations_certification](http://img.blog.csdn.net/20160521221704435)


By the way, writing in English, sometimes, is easy to convey something, especially some jargon. So, my notebook about this course is wrote by 中文 and English.


I would like to share my notebook with everyone who also like machine learning and sends me a e-mail [[email protected]]().
The Beginning


Congratulations on finishing Machine Learning Foundations ! As you now know, this course was hardly just about the foundations. At this point, you can implement intelligent applications using regression, classification, nearest neighbor search, clustering, collaborative filtering, and deep learning…WOW! With these ML methods, your intelligent applications can perform predictions, personalized recommendations and retrieval, learn non-linear features that improve the accuracy of your solution, and much more. Show your friends and family your new skills.


We know that this course was jam-packed with tough concepts, and your persistence and hard work have laid a strong foundation for taking the follow-on courses:


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Regression
Classification
Clustering & Retrieval
Recommender Systems & Dimensionality Reduction
Machine Learning Capstone: An Intelligent Application with Deep Learning
We highly recommend this full sequence as a way to become a machine learning expert, ready to develop and deploy new intelligent applications.


Also, now that you’re a Machine Learning Foundations wizard, we encourage you to apply to be a course mentor!


Emily and Carlos
The above is cited from here.


Closing Remarks


Yes, I have completed this course. I am so excited, but I must carry on machine learning. This is not ending.


My certification is followed,


foundations_certification


By the way, writing in English, sometimes, is easy to convey something, especially some jargon. So, my notebook about this course is wrote by 中文 and English.


I would like to share my notebook with everyone who also like machine learning and sends me a e-mail [email protected].


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