A caring message from a concerned human

Now that our leaders are working on world war 3
I'd like to share

Something I think I see

This isn't a protest
Or a call to arms

Just some friendly words 
For the righteous
The marginalized
The straight and queer

And I know you're not asking

I see now
The only thing that moves us
People

Is fear
And threat

If a bomb drops in some faraway land
Does it make a sound?

So here we go

When you step out at night
Under the cold starlight

Look out!
Look out!

Achtung!
Fais attention!
Look out! Look out!

You don't know what's gonna fall out of the sky
Might be a satellite 
It might be a nuclear missile
It might be drone fire
It might just be some smog in the air
Or Covid 19
Be careful when you breath!

Xiao Xing!
Xiao
Xing!
Look out! Look out!

(look out)

Your children are sleeping quietly
But you know better
You know what might be coming

(look out) (look out)

The whole world's awake now
Our eyes are open now

(Take care everyone)
(Peace)

Across The World

This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field.

In this episode you will learn:
• What MLOps is [11:40]
• Mikiko’s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11]
• The three most important MLOps tools [32:15]
• The six most essential MLOps skills for data scientists [47:01]
• The key factors Mikiko looks when hiring engineers [1:07:31]
• Mikiko’s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20]

Additional materials: www.superdatascience.com/599

The Super Data Science Podcast: Machine Learning | AI | Success

SDS 599: MLOps: Machine Learning Operations

Shade In The Shadows

Come Home Ijon Tichy

Reflections

Discreet

X-Rusty Jukebox

Tänase saate külaline Susanna Veevo jutustab meile Iraanist, kus ta on rännanud palju ja aja jooksul seda riiki armastama hakanud. Küll aga on pealinna Teheraniga tal jätkuvalt veidi vihkamise suhe, sest see linn on liiga intensiivne. 
Saates tuleb juttu näiteks kombluspolitseist – ebameeldiv politseiliik, mis püüab trahvida inimesi, kes avalikus kohas liiga kõvasti naeravad või ei ole (kogemata) õigesti end katnud. Kuigi kombluspolitsei turiste niivõrd ei kiusa, kehtivad ka välismaalastele enda katmisel ja käitumisel samad reeglid, mis kohalikele. Muuseas, Iraan on ainus riik maailmas, kus ka turistid peavad järgima täpselt samu reegleid, mis kohalikud.
Veel jutustab Susanna naiste olukorrast. Kuigi paljud kohalikud naised on kõrgharitud, on neil tööl käimine komplitseeritud ühiskonna suhtumise pärast. Iraani mehed usuvad aga täiesti siiralt, et lääne naised on kerglased – Susanna avaldab ka põhjuse, miks nii arvatakse. Kuna Susanna on reisinud Iraanis nii üksi kui ka mehega, tajub ta, kui erinev on olnud kohalike suhtumine. Üksi reisival naisel on päris keeruline.
Kuula ka põnevaid lugusid ajutistest abieludest, mitmenaisepidamisest, iraanlaste kodudest ja palju muud.
Vestlust juhib Liina Metsküla. 
Susannal ilmus hiljuti ka raamat "Minu Iraan".

#361 | Vastuoluline Iraan: ajutistest abieludest, mitmenaisepidamisest, kiuslikust kombluspolitseist

1. Братство, единство
2. Изгрява ден тържествен
3. Напред да ходим
4. На Учителя
5. Време е да вървим
6. За Небесния Цар
7. Напред чада, напред
8. Славейчета горски
9. О, Учителю Благати
10. Към Сион
11. Дързост в Христа
12. Нови дрехи
13. Благост
14. Блага дума
15. Грее, грее
16. Сила жива - Скръбта си ти кажи
17. Мусалла
18. Малкият извор
19. Тъги, скърби са богатство
20. Мога да кажа
21. Аз смея да кажа
22. В пустинята на живота
23. Зов на планината
24. Песен на светлия път
25. Там далече
26. Пролет
27. Подмладяване
28. Красив е животът
29. Обетована земя
30. Ме-хейн
31. Заповедта на Учителя*
32. Любов, Мъдрост, Истина**
33. Ученикът**
34. Поздрав на Учителя

Unknown Album (17/12/2009 20:23:24)

7. Напред чада, напред

track made on ipad
list of apps: Aum, poly2, eventide blackhole reverb, klevgrand luxe and TB ReelBus.

Mystery

the video — https://violamoonshape.com/video-1

how we made the video — https://tinyurl.com/y5cbbmgr

the blog — https://violamoonshape.com/blog/f/on-smog-part-1

stems for remixers available here: blnd.io/3ev4Elk

did it take some time after 
even as they did play?
did it take some time after 
or was it all just a laughter?
did it not take you by surprise
how my world wells with tears?
just thinking about it 
how the mess begins, darling 
how the mess, the mess begins, darling 

only there in the night 
when it starts to fall 
only there in the night 
do I see my fault 
only there in the night 
incognito deal 
only there in the night 
deliberate deal 
only there in the night 
reaction is served 
only in serving the cause of all causes 
only in serving the cause
does the dust settle 

how long will it take me
only to feel for you?

ॐ

part 1 in g flat major (a440) 
part 2 in e major (a440)
written, performed, and recorded by viola moonshape in april 2020
mixed by viola and brahma in september 2020
mastered by brahma in october 2020
copyright © 2020 viola moonshape

ॐ

vocals > neumann u87ai > apollo twin > logic (tracks 01–07)
fender squier precision bass > apollo twin > logic (track 08)
liverpool software bass > logic (track 09)
korg minilogue xd > apollo twin > logic (track 10)
mayapur jackals > sennheiser mk 66 > zoom h4n > logic (track 11)
carob pod shaker > sm57 > boss rc–505 > apollo twin > logic (track 12)
maracas > sm57 > boss rc–505 > apollo twin > logic (track 13)
gibson es–335 > apollo twin > logic (track 14)
garritan abbey road studios cfx > logic (track 15)
conch shell > neumann u87ai > apollo twin > logic (track 16)
lowden f-25 > neumann u87ai > apollo twin > logic (tracks 17, 18)
drums programmed in logic (tracks 19–22)

ॐ

cover by brahma
frame from don's footage
copyright © 2020 viola moonshape

ॐ

Smog Part One

The Music Video

Smog Part One (video on youtube)

Why does English have the Norman French word “legal” as well as the Anglo-Saxon word “lawful”? Is the law the Crown’s or ours? Is “jury nullification” the most hazardous phrase to utter near a courthouse?

Alex Thomson discusses with David Scott and Mike Robinson how the stirring phrase “the common law” has been understood down the ages, and whether the legal and political fraternity is right to hold as an article of faith that common law is the most inferior of the sources of law. Where does society’s conscience come into it? Are the Continental philosophers right to accuse English and Scots law of being unknowable because we have no single text that calls the Crown into being or criminalises theft or murder?

Join us to find out why state bodies like to masquerade as The People when prosecuting; why juries are being curtailed and abolished step by step; whether it is true that a freeman can individually say he does not consent to statutes; and what it was that got former Supreme Court Justice Lord Jonathan Sumption so riled this week that he said “I reject that claim” in a lecture to Cambridge Law Faculty.

A Dissident’s Guide to the Constitution: Episode 2 — Common Law

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 599: MLOps: Machine Learning Operations

Super Data Science: ML & AI Podcast with Jon Krohn

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