I've applied for a total of 10 development jobs in my life:
- 7 lead to interviews
- Of those 7, 4 was a good fit for me
- Of those 4, 3 offered me the job
- In all 3 cases, I negotiated a better deal
🧵 on what worked for me and what YOU can do to get similar results 👇
If this thread was interesting to yo, I go a bit more in-depth on some of these subjects in a blog post here: https://t.co/AASK9YayR0
More from Machine learning
Thanks for this incredibly helpful analysis @dgurdasani1
Two questions. 1/ Does this summarise the AZ published data :
The plan is to extend the time interval for all age groups despite it being largely untested on the over 55yrs, although the full data is not yet published
Do we have the actual numbers of over 55yr olds given a 2nd dose at c12 weeks and the accompanying efficacy data?
Not to mention the efficacy data of the full first dose over that same period?
I’d quite like to know whether I am to be a guinea pig & the ongoing risks to manage
You attached photos of excerpts from a paper. Could you attach the link?
Re Pfizer. As I understand it the most efficacious interval for dosing was investigated at the start of the trial.
Here’s the link to the
I’ve got to say that this way of making and announcing decisions is not inspiring confidence in me and I am very pro vaccination as a matter of principle, not least because my brother caught polio before vaccinations available.
Two questions. 1/ Does this summarise the AZ published data :
The plan is to extend the time interval for all age groups despite it being largely untested on the over 55yrs, although the full data is not yet published
SUMMARY: the Oxford/Astra trial examined dosing with gaps between 4-12 wks- although longer gaps appear to be limited mostly to younger participants. There was no difference reported in published data between these & efficacy from the 1st dose seems high for severe disease.
— Deepti Gurdasani (@dgurdasani1) December 31, 2020
Do we have the actual numbers of over 55yr olds given a 2nd dose at c12 weeks and the accompanying efficacy data?
Not to mention the efficacy data of the full first dose over that same period?
I’d quite like to know whether I am to be a guinea pig & the ongoing risks to manage
You attached photos of excerpts from a paper. Could you attach the link?
Re Pfizer. As I understand it the most efficacious interval for dosing was investigated at the start of the trial.
Discussions of 1 vs 2 doses suggest many are not aware of Pfizer's trials which evaluated 1 vs 2 dose immunogenicity, assessed multiple formulations (BNT162b1 BNT162b2 etc) & conducted dose-ranging in both young & old adults at the start. Saw "clear benefit of booster at day 21" pic.twitter.com/mpyxu9xFSF
— Dr Nicole E Basta (@IDEpiPhD) December 31, 2020
Here’s the link to the
I’ve got to say that this way of making and announcing decisions is not inspiring confidence in me and I am very pro vaccination as a matter of principle, not least because my brother caught polio before vaccinations available.
Really enjoyed digging into recent innovations in the football analytics industry.
>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇♂️ https://t.co/9YOSrl8TdN
For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.
This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5
Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.
Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN
So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?
>10 hours of interviews for this w/ a dozen or so of top firms in the game. Really grateful to everyone who gave up time & insights, even those that didnt make final cut 🙇♂️ https://t.co/9YOSrl8TdN
For avoidance of doubt, leading tracking analytics firms are now well beyond voronoi diagrams, using more granular measures to assess control and value of space.
This @JaviOnData & @LukeBornn paper from 2018 referenced in the piece demonstrates one method https://t.co/Hx8XTUMpJ5
Bit of this that I nerded out on the most is "ghosting" — technique used by @counterattack9 & co @stats_insights, among others.
Deep learning models predict how specific players — operating w/in specific setups — will move & execute actions. A paper here: https://t.co/9qrKvJ70EN
So many use-cases:
1/ Quickly & automatically spot situations where opponent's defence is abnormally vulnerable. Drill those to death in training.
2/ Swap target player B in for current player A, and simulate. How does target player strengthen/weaken team? In specific situations?
Happy 2⃣0⃣2⃣1⃣ to all.🎇
For any Learning machines out there, here are a list of my fav online investing resources. Feel free to add yours.
Let's dive in.
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Investing Services
✔️ @themotleyfool - @TMFStockAdvisor & @TMFRuleBreakers services
✔️ @7investing
✔️ @investing_city
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✔️ @MorningstarInc Premium
✔️ @SeekingAlpha Marketplaces (Check your area of interest, Free trials, Quality, track record...)
General Finance/Investing
✔️ @morganhousel
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✔️ @iancassel
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✔️ @InvestorAmnesia
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Tech focused
✔️ @stratechery
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✔️ @bgurley
https://t.co/NKXGtaB6HQ
✔️ @CBinsights
https://t.co/H77hNp2X5R
✔️ @benedictevans
https://t.co/nyOlasCY1o
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Tech Deep dives
✔️ @StackInvesting
https://t.co/WQ1yBYzT2m
✔️ @hhhypergrowth
https://t.co/kcLKITRLz1
✔️ @Beth_Kindig
https://t.co/CjhLRdP7Rh
✔️ @SeifelCapital
https://t.co/CXXG5PY0xX
✔️ @borrowed_ideas
For any Learning machines out there, here are a list of my fav online investing resources. Feel free to add yours.
Let's dive in.
⬇️⬇️⬇️
Investing Services
✔️ @themotleyfool - @TMFStockAdvisor & @TMFRuleBreakers services
✔️ @7investing
✔️ @investing_city
https://t.co/9aUK1Tclw4
✔️ @MorningstarInc Premium
✔️ @SeekingAlpha Marketplaces (Check your area of interest, Free trials, Quality, track record...)
General Finance/Investing
✔️ @morganhousel
https://t.co/f1joTRaG55
✔️ @dollarsanddata
https://t.co/Mj1owkzRc8
✔️ @awealthofcs
https://t.co/y81KHfh8cn
✔️ @iancassel
https://t.co/KEMTBHa8Qk
✔️ @InvestorAmnesia
https://t.co/zFL3H2dk6s
✔️
Tech focused
✔️ @stratechery
https://t.co/VsNwRStY9C
✔️ @bgurley
https://t.co/NKXGtaB6HQ
✔️ @CBinsights
https://t.co/H77hNp2X5R
✔️ @benedictevans
https://t.co/nyOlasCY1o
✔️
Tech Deep dives
✔️ @StackInvesting
https://t.co/WQ1yBYzT2m
✔️ @hhhypergrowth
https://t.co/kcLKITRLz1
✔️ @Beth_Kindig
https://t.co/CjhLRdP7Rh
✔️ @SeifelCapital
https://t.co/CXXG5PY0xX
✔️ @borrowed_ideas