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

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.



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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

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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/
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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

A note from "DELIVERING Happiness"

This is a note from "DELIVERING Happiness" from page 75 to 78, which I found these advices are applicable to my daily jobs.



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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.