Carpe Diem

シンシナティ大学で都市計画を勉強していた、ある大学院生の物語。現在はマンハッタンで就活。

広告

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Traveling and Learning

2017-09-16 17:34:31 | daily life
I have been traveling Sri Lanka and India for last 7 days and I am fortune enough to learn many things (some of those are new to me and others are something I forgot through everyday life). I would like to pick three things that I think the most important realizations to me (hopefully to readers as well) that I want share with. Since I am writing this blog in Sri Lanka International airport, I may be able to learn new lessons by I finish writing this one.

Benefits of traveling:
1.Start from your new life from scratch
2.Laser focus on what you can do due to time constrain
3.Opportunities of being alone and vulnerable


When you travel the places you are not familiar, let's say in foreign countries, you do not anything that much you can uses except for you have local friends there. That means you need to start your traveling life by preparing food, buying necessary commody, and figuring out what you want to do in that time period. Even you can only live your life once, but it seems there are a life inside of your life when you traveling.

Second benefit of traveling is you can focus on what really matters to you during the travel since you have only limited amount of time available. You may want to visit as many as tourist spots, you may want to explore local food, or you may want to relax on the beach, or you may want to attend specific events. The list can go on a quite a few. But what I want to try to say in here is no matter how many things you want to do, you have only certain amount of time, so you are forced to choose several activities that can fit in the time slot. By thinking your traveling plan, you have to prioritize what really matter to you, which give you a good sense of understanding of who you are made of. You may be someone who have limitless curiosity to explore new cities, or you are a foodie who want to taste different things.

Last but not least, I think the chances that you can be alone and vulnerable is one of the most important things that may underestimated that travel can provide us. You may be a popular figure who everyone around you pay respects in a certain social group, such as you are a good leader in your company, you have some skills that separates from the crowds, or whatever it is. Nobody gives a shit when you are in other countries. You may be arrogant in your company, but if you treat others like that in different environment I am sure that nobody will be accept that. This may sound a little terrifying especially for those who are always in his/her comfort zone, but it is a good learning opportunities that you are a no one in different environment. On top of that, you do not know local custom and you would have lots of problems that you will not encounter when you are in your environment. That reminds us vulnerable we are.

With that, I would like to end this short post with two thoughts that me learned during the travel (that may be applied to my life):
-Travel doesn't go as planned -> Enjoy uncertainty and troubles that may bring you something special that you never imagined at the first place
-Always be a little more playful -> Travel is tough sometimes in variety of reasons, so be little more creative and make room to enjoy it
-Think how to minimize your regret -> You can only take your good memories to your graveyard, so make regret as less as possible

Hope you all have a great travel ;D




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[1 Month Challenge] Learn data science in a month Final Week

2017-08-20 21:58:10 | daily life
The following detail was the last meetup for the 1 Month Data Science Challenge.

We had a great time working toward our initial goals, and some of us made quite a few progress within a month.

Although we still keep learning data science and machine learning, we had celebrated our first milestone for the end of the series of meetup.



++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Hi Data Scientists!

We are excited to host the last meetup for the Learn Data Science in A Month Challenge! If you are passionate to learn fundamental skills of data science and machine learning, you should come!

Two special speakers who works as ML engineers will join us this meetup to celebrate the end of the challenge. They will give us talk about the following topics,



Selection of Algorithms in Machine Learning

By Aditya

Come hear practical methods of how to select machine learn algorithms in healthcare industry. He will talk about several real-world cases.

Convolutional neural network (CNN) and it's history

By Masa

In this talk, get the in-depth insights and historical knowledges of the CNN from an AI expert.



Please do not hesitate reach out to me if you have any concerns about this meetup. Looking forward to see you all.

Cheers,

Yasu

---------------

You can find more information about this challenge below.



The Challenge:

We set out to learn the following Udemy's data science and machine learning course for a month. (Farmer data scientist at Google also recommended this course )

https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp



Timetable:

8:00 - 8:10 Introduction of attendee and the meetup

8:10 - 8:30 Share progresses of the challenge

8:30 - 9:00 Guest Talk 01 (Aditya) and FAQ

9:00 - 9:30 Guest Talk 02 (Masa) and FAQ

9:40 - 9:50 Wrap up

Fee:

Also please pay your dinner and drinks you buy at the Base Point, which should be around 1,000 yen.

https://www.meetup.com/TechnologyExchangeTokyo/events/241113833/
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

As the following event, I'm thinking as the following meetups:

Mini project of applying python and ML within 2 hours
ML
-use APIs to build simple services
-build full stack image recognition product with Django or Rails
-build full stack chatbot product with Django or Rails

DS
-deep down the titanic challenge to get more accuracy
-practice other 10 projects and get familiar with how to extract the data

7. The next step
W1:course follow-up, data science project
W2: mini-project
W3: course follow-up, lectures
W4: mini-project
W5: course follow-up, data science project

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A note from "DELIVERING Happiness"

2017-08-20 12:42:36 | daily life
This is a note from "DELIVERING Happiness" from page 75 to 78, which I found these advices are applicable to my daily jobs.



++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
I noticed so many similarities between poker and business that I started making a list of the lessons I learned from playing poker that could also be applied to business:

Evaluating Market Opportunities
-Table selection is the most important decision you can make.
-It’s okay to switch tables if you discover it’s too hard to win at your table.
-If there are too many competitors (some irrational or inexperienced), even if you’re the best it’s a lot harder to win.-

Marketing and Branding
-Act weak when strong, act strong when weak. Know when to bluff.
-Your “brand” is important.
-Help shape the stories that people are telling about you.

Financials
-Always be prepared for the worst possible scenario.
-The guy who wins the most hands is not the guy who makes the most money in the long run.
-The guy who never loses a hand is not the guy who makes the most money in the long run.
-Go for positive expected value, not what’s least risky.
-Make sure your bankroll is large enough for the game you’re playing and the risks you’re taking.
-Play only with what you can afford to lose.
-Remember that it’s a long-term game. You will win or lose individual hands or sessions, but it’s what happens in the long term that matters.

Strategy
-Don’t play games that you don’t understand, even if you see lots of other people making money from them.
-Figure out the game when the stakes aren’t high.
-Don’t cheat. Cheaters never win in the long run.
-Stick to your principles.
-You need to adjust your style of play throughout the night as the dynamics of the game change. Be flexible.
-Be patient and think long-term.
-The players with the most stamina and focus usually win.
-Differentiate yourself. Do the opposite of what the rest of the table is doing.
-Hope is not a good plan.
-Don’t let yourself go “on tilt.” It’s much more cost-effective to take a break, walk around, or leave the game for the night.

Continual Learning
-Educate yourself. Read books and learn from others who have done it before.
-Learn by doing. Theory is nice, but nothing replaces actual experience.
-Learn by surrounding yourself with talented players.
-Just because you win a hand doesn’t mean you’re good and you don’t have more learning to do. You might have just gotten lucky.
-Don’t be afraid to ask for advice.

Culture
-You’ve gotta love the game. To become really good, you need to live it and sleep it.
-Don’t be cocky. Don’t be flashy. There’s always someone better than you.
-Be nice and make friends. It’s a small community.
-Share what you’ve learned with others.
-Look for opportunities beyond just the game you sat down to play. You never know who you’re going to meet, including new friends for life or new business contacts.
-Have fun. The game is a lot more enjoyable when you’re trying to do more than just make money.
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[1 Month Challenge] Learn data science in a month Week 2

2017-07-23 14:51:38 | daily life
オンライン講座でデータサイエンスを始めてから3週間ほどたって、
1ヶ月チャレンジのMeetupもオープニングセッションも含めたら4回ほど開いた。

データサイエンスの進歩としては自分でも今までデータサイエンスや機械学習の
記事を読んだりしてもあまり理解できなかったが、
最近はよく理解できているので結構驚いたりする。

ただ当初の予想通り回がたつにつれて最初にきていた人たちが来なくなっている。
原因としては、以下の2つが大きいかも
- 内容について行けなくなった
- 教材通りに進めればいいだけなのでMeetupに参加する意義が見出せない

選んでいるオンライン教材の内容は好評なので
自分がやらないといけないのは、
- 1ヶ月のチャレンジの後に何ができるのかを伝えたい
- オンライン・オフラインでサポート・コニュニケーションをとりたい
- Meetupではもっと活発に参加者が交流できるところにしたい

うーん、フィードバックをもらって、もっと改善していかないとなぁ。
いつももっと楽しく、そしてもっとクールなミートアップをしていきたい。

P.S.
この前リツイートした記事が1000以上のTotal engagementsがあった。(奇跡!)



P.S.2
ブログを書いている時にインスパイアされた言葉
https://twitter.com/Ani_Terada/status/888713004795043840

-------------------------------------------

Hi Future Data Scientists!

We are excited to host our 2nd session for the Learn Data Science in A Month Challenge! If you are passionate to learn fundamental skills of data science and machine learning, you should come.

Please note this is the first session of the challenge. So you may want to prepare for section 8 to 13 of Python for Data Science and Machine Learning Bootcamp course (https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp ).

During this meetup, we will review those sections, and you can ask questions if you have any. Please do not hesitate reach out to me if you have any concerns about this meetup.

Looking forward to see you all.

Cheers,

Yasu

----------

【Timetable 】

8:00-8:15 introduction

8:15-9:45 review exercises

8:15-9:15 section 8-12 exercises review

9:15-9:45 section 13 exercise review

9:45-10:00 wrap up

You can find more information about this challenge below.

----------

People:

Anyone who has passion to learn data science. (Although it would be nice to have some coding experience, but you can learn through the course. )

Goal:

After finishing this challenge, you are able to apply the skillset you learned through the course to real-life projects.

Duration:

July 1 - July 31 (expected study hours: 50 hours)

Syllabus:

We use the following Udemy course as our learning material (Farmer data scientist at Google also recommended this course )

https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp

Schedule:

https://docs.google.com/document/d/1k1Yz9xmTwZFqF8uHAojrGzgEfDuIvXdq-d5VZYS-HkY/edit?usp=sharing

Fee:

You need to buy the Udemy course. Most of the time, you can buy the course around 2,000 yen.

Also please pay your dinner and drinks you buy at the Base Point, which should be around 1,000 yen.
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[1 Month Challenge] Learn data science in a month Opening Session

2017-06-30 22:46:29 | daily life
ずっと勉強したかったデータサイエンス。
ただただ先延ばしにしてたけど、先延ばしにするのをやめよう。
そう思って、meetupを始めました。

初回は10人参加してくれて、
そのほとんどはFBやミートアップのイベントで知り合った人たち。
ただ数人はイベントを見てあったこともないのに集まってくれた人たち。

しかも1ヶ月のプロジェクトでこんなに集まるとは思わなかった。
しかもみんなのモチベーションが高い。
ただただ純粋に嬉しい。


下はイベントの告知文章。
-----
Hi Future Data Scientists!

We are excited to host our opening session for the Learn Data Science in A Month Challenge! If you are passionate to learn fundamental skills of data science and machine learning, we should talk.

In the coming month, we will organize 4 meetups to learn Python for Data Science and Machine Learning Bootcamp course ( https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp ) together.

People:

Anyone who has passion to learn data science. (Although it would be nice to have some coding experience, but you can learn through the course. )

Goal:

After finishing this challenge, you are able to apply the skillset you learned through the course to real-life projects.

Duration:

July 1 - July 31 (expected study hours: 50 hours)

Syllabus:

We use the following Udemy course as our learning material (Farmer data scientist at Google also recommended this course )

https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp

Schedule:

Week 1: Section 1 (Course Introduction) to Section 7 ( Python for Data Analysis - Pandas Exercises )

Week 2: Section 8 ( Python for Data Visualization - Matplotlib ) to Section 13 ( Python for Data Visualization - Matplotlib )

Week 3: Section 14 ( Introduction to Machine Learning ) to Section 21 ( K Means Clustering )

Week 4: Section 22 ( Principal Component Analysis ) to Section 26 ( Neural Nets and Deep Learning )

Fee:

You need to buy the Udemy course. Most of the time, you can buy the course around 2,000 yen.

Also please pay your dinner and drinks you buy at the Base Point

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