Really excited to share our latest paper in @nature today on machine learning for health data to make early predictions of acute kidney injury. Has been an amazing journey over the last 2 years and with an amazing set of people. https://t.co/NUCHW2EBVk pic.twitter.com/XhMhdjArCb
— Shakir Mohamed (@shakir_za) July 31, 2019
Neural networks look almost identical to optical quantum computers, and using the latter to do machine learning makes a lot of sense:https://t.co/5tWJMAfRYR@JacquesCarolan @poyntingatgreg @Dirk_Englund
— Jonny Olson (@JonnyQlson) July 30, 2019
New blog post: Netflix, Sky, and tech as a crowbar. https://t.co/a64P7EKZfy
— Benedict Evans (@benedictevans) August 1, 2019
My latest Medium post: A No B.S. Guide to Startup Stock Options: https://t.co/bcoEXhaA2v
— Matt Cooper (@matt_cooper) July 31, 2019
Our latest health research has been published in @nature today, using AI to predict patient deterioration up to two days before it happens. Read more here: https://t.co/HyrflII7Nw
— DeepMind (@DeepMindAI) July 31, 2019
The Turing Lecture delivered by Geoff Hinton and me in Phoenix on June 23rd is now available.
— Yann LeCun (@ylecun) July 30, 2019
Video: https://t.co/QEKZQMYMWR
Slides for my part: https://t.co/BLRToR5F2L https://t.co/QEKZQMYMWR
— Archillect (@archillect) August 1, 2019
Amazon launches a personal shopper service that sends monthly curated clothing boxes https://t.co/yN3PIX4nbJ pic.twitter.com/UswbfMmkfq
— The Verge (@verge) August 1, 2019
So I learned a lot about language from Sesame Street.
— Frank Chen (@withfries2) July 31, 2019
How many other peeps find it oddly satisfying that today's best NLP models are named BERT and ERNIE? ❤😃📚 https://t.co/uVqSWVjQeu
Great article on Dave Swensen and the "Yale Model," plus the dangers of blindly following it! If you're interested in learning more on this, I devote a chapter in Secrets of Sand Hill Road to the endowment's approach to VC. https://t.co/w26mBZoQRK
— Scott Kupor (@skupor) August 1, 2019
Netflix and software @benedictevans https://t.co/RFVQP99AKX
— Steven Sinofsky (@stevesi) August 1, 2019
AI predicts Airbnb prices with 69% accuracy https://t.co/36qriNBOvG by @Kyle_L_Wiggers
— VentureBeat (@VentureBeat) July 31, 2019
Micro machines: How the next big thing in robotics is actually quite small https://t.co/d8Qiz9QZbP via @DigitalTrends
— Martin Ford (@MFordFuture) July 30, 2019
Super interesting - mobile movies being made in China
— Andy Weissman (@aweissman) July 30, 2019
"An episode in a vertical drama is typically between two and five minutes. They’re written to deliver each plot-point or punchline as quickly as possible"https://t.co/EXY6P4z5z6
Check out AdvGen, a new approach to training neural machine translation models that applies generated adversarial examples to improve model robustness, reducing mistranslation rates and improving performance on standard benchmarks. Learn about it here! ↓ https://t.co/rzWIDSoVh1
— Google AI (@GoogleAI) July 29, 2019
Data Engineering Cookbook https://t.co/8mXNJCYyvk (https://t.co/ZgYv4T7VyV)
— Hacker News 200 (@newsyc200) July 29, 2019
If you never played the evolution of trust game, I highly recommend
— l̴o̴o̴p̴u̴l̴e̴a̴s̴a̴ (@loopuleasa) July 28, 2019
It teaches you more about game theory than anything out there, because you can live ithttps://t.co/2VVrjGWLhl
My buddy John owns this mountain and I’ve been coming here every summer for the past 5 years. This view never gets old. pic.twitter.com/FZSQY41oSe
— THE LONG VIEW ⚫️ (@HayekAndKeynes) July 28, 2019
Follow the list of the world's great new Moonshotshttps://t.co/8qYbAdrNcQhttps://t.co/FbljsX9kFe
— Eric Schmidt (@ericschmidt) July 28, 2019
How Kafka Enables Real-Time Stream Processing https://t.co/LNPtfjI6ai
— Apache Kafka (@apachekafka) July 27, 2019
Deep learning is about to get easier -- and more widespread https://t.co/b4eRDGrcHS by @BenDee983
— VentureBeat (@VentureBeat) July 28, 2019
Discrete Differential Geometry: An Applied Introduction [pdf] https://t.co/WDipRPtWtO (https://t.co/MSVGUqtx57)
— Hacker News 200 (@newsyc200) July 28, 2019
#CyberpunkisNow DIY drone posted to Reddit by user FluidFact. pic.twitter.com/fnMmvhM5TT
— ΜΔDΞRΔS (@hackermaderas) July 27, 2019
GCP has so much functionality these days that you need a guide, so here's a one-page guide to GCP. https://t.co/3ikJT2Mtj0
— Urs Hölzle (@uhoelzle) July 26, 2019
Because the idea that systems can be self-similar at different resolutions is totally incorre--- https://t.co/JHSuUd0Xsf pic.twitter.com/l8HaqVtZFI
— akira (@0xa59a2d) July 27, 2019
Just finished rereading Netflixed. Good quick tale of the founding through Qwickster. Renewed appreciation for how farsighted and bold Netflix was. At almost every decision point, they went for broke. I want to focus on one of those, because it’s pretty wild. Total Access.
— modest proposal (@modestproposal1) July 27, 2019
Results from our new paper on data-driven physics simulation for games. Produces 300 to 4000 times speedup over standard physics simulations by combining Machine Learning, subspace simulation, and lots of training data! https://t.co/1MeYXnLlUp pic.twitter.com/D5DZvmFIvh
— Daniel Holden (@anorangeduck) July 27, 2019
“Amazon's Revolutionary Retail Strategy? Recycling Old Ideas”. I wrote about Amazon, Zola and fish https://t.co/KBvGwn6Eog
— Benedict Evans (@benedictevans) July 26, 2019
Jeff Bezos:
— Ryan Shea (@ryaneshea) July 25, 2019
I'm frequently asked: 'What'll change in 10 years?'
...a very interesting question
I'm almost never asked: 'What's not going to change?'
And that 2nd question is actually more important—bc you can build a business strategy around the things that are stable in time
Iratus: Lord of the Dead hits Steam Early Access as an undead twist on Darkest Dungeon https://t.co/pAh9zaChfe
— VentureBeat (@VentureBeat) July 25, 2019
Good places for viewing “progress” in #NLProc—or at least the latest over-tuning results on various benchmarks😉: ☆https://t.co/4g5ScHzZGk ☆https://t.co/e9S1TOwdr0 ☆https://t.co/Ej92jujCPw ☆https://t.co/t0dNtQfpT9 ☆https://t.co/PkyAlQUf16 ☆https://t.co/tjaP7hT8ec
— Stanford NLP Group (@stanfordnlp) July 24, 2019
What does it mean to “Wizard of Oz” a #machinelearning model? @petewarden shares his process for iterating quickly and nailing down the actual requirements for the model. https://t.co/GsowgF7JZg
— Labelbox (@labelbox) July 25, 2019
I distinctly recall the first time I met the @freenome team -- their innovative vision for fundamentally changing the landscape of how we approach cancer. Congrats on their latest round of funding as they continue along that path! https://t.co/TV4VD7YU3s
— Vijay Pande (@vijaypande) July 24, 2019
This startup offers a way to convert Keras models to pure C for deployment in embedded systems. Sounds quite useful (but only supports a fairly narrow subset of functionality) https://t.co/ctonuvTw8b
— François Chollet (@fchollet) July 23, 2019
I've been reading a lot of old AI papers lately -- ranging from 1950 to 2010. It's interesting how contemporary a lot of these still feel to this day. The fundamental questions are still the same, and we still don't have any solid answers.
— François Chollet (@fchollet) July 23, 2019
[Free 479-page eBook from Microsoft]
— Kirk Borne (@KirkDBorne) July 23, 2019
The #Mathematics and #Statistics Foundations of #DataScience: https://t.co/7lYeig5OhE
———#DataScientists #BigData #MachineLearning #DataLiteracy #AI #StatisticalLiteracy #LinearAlgebra #RecSys #abdsc
———
Image source: https://t.co/E9FJsfwkRo pic.twitter.com/KOmsHl2eay
#AI protein-folding algorithms solve structures faster than ever#deeplearning https://t.co/ibwEqNMx8Z
— Martin Ford (@MFordFuture) July 23, 2019
1) Since @nic__carter analyzed and classified cryptoassets launch styles & funding in his master's thesis, the pace of innovation has been staggering. Buckle up, here is a detailed thread on cryptoassets’ launch styles & funding experimentations since 2009.https://t.co/slZyiS9NCM pic.twitter.com/6dLfEZlvIZ
— Florent Moulin (@fmoulin7) July 23, 2019
Behavior is better described by hierarchy with macroscopic behaviors and mesoscopic sub-behaviors, than a minimally-structured (Markov) model
— Adam J Calhoun (@neuroecology) July 23, 2019
[From Gupta and @behaviOrganisms]https://t.co/FzT0zGn1Q2 pic.twitter.com/8vwlpAhbny
My fiancé has been working on a single minecraft city for the last 5 years, there are secret tunnels, labyrinth-like underground laboratories, I have no idea how he does it. pic.twitter.com/FUTLBBidu6
— Liam Sorta || Making Cool AR Stuff (@LiamSorta) July 22, 2019
I am 100% biased and also accurate: This is an excellent + indispensable deep dive into Amazon by @DelRey, delivered to your ears, for free. https://t.co/cWil44wxJL
— Peter Kafka (@pkafka) July 23, 2019
Laguna Beach. pic.twitter.com/7yBHtjhgGR
— Morgan Housel (@morganhousel) July 23, 2019
A Worrying Analysis of Recent Neural Recommendation Approaches https://t.co/E44lRanf95 (https://t.co/uXuo8WkeA6)
— Hacker News 200 (@newsyc200) July 23, 2019
Study: Immigrants and their kids founded 45% of U.S. Fortune 500 companies https://t.co/kyHXJ1Oi6f (https://t.co/cpKdsypSmT)
— Hacker News 200 (@newsyc200) July 23, 2019
Wait, 16 mins tech news podcast from @a16z ?! Yes, Yes, Yes and thank you 🙏 https://t.co/wjwwdY8JuZ
— Alex Iskold💡2048 (@alexiskold) July 22, 2019
This is pure speculation on my part, but after reading this post, I would bet that Ray Dalio owns BTC.
— Travis Kling (@Travis_Kling) July 22, 2019
He couldnt tell the world that right now or price would be at an ATH next week, but you can't be that smart and hold that view and not be bullish BTC. https://t.co/tVwYiA2BXa
A straight line may be the shortest 𝑑𝑖𝑠𝑡𝑎𝑛𝑐𝑒 between two points, but a "Brachistochrone" curve is the path of least time pic.twitter.com/aWPoz9X6i9
— 〈 Berger | Dillon 〉 (@InertialObservr) July 21, 2019
Uber's EvoGrad is a dev library for evolutionary algorithms https://t.co/b06WE45Tmz by @Kyle_L_Wiggers
— VentureBeat (@VentureBeat) July 22, 2019
Amazing. ML filling the gaps in research! https://t.co/YYAAa9PZOA
— Lucas Chatham (@lukeoutthebox) July 22, 2019
When we use browsers to do things like make medical appointments, we usually trust that things will remain private. DataSpii is a newly documented privacy issue in which millions of people’s browsing histories were collected and exposed—and it's revealing https://t.co/mZZ0ApEJA0
— Ars Technica (@arstechnica) July 21, 2019
A visual proof that
— Fermat's Library (@fermatslibrary) July 21, 2019
1/4 + 1/4² + 1/4³ + ... = 1/3
⚪⚪⚪⚪⚪⚪⚪⚪
⚪⚫⚪⚪⚪⚪⚪⚪
⚪⚪⚫⚫⚪⚪⚪⚪
⚪⚪⚫⚫⚪⚪⚪⚪
⚪⚪⚪⚪⚫⚫⚫⚫
⚪⚪⚪⚪⚫⚫⚫⚫
⚪⚪⚪⚪⚫⚫⚫⚫
⚪⚪⚪⚪⚫⚫⚫⚫
The Munger Operating System: How to Live a Life That Really Works https://t.co/BQitKKIFZa
— Shane Parrish (@farnamstreet) July 21, 2019
This week, I read a fascinating piece of Wall Street research titled "Tech Reg: A Case Study Approach to Examining the Impact of Government Intervention" by Scott Helfstein/Sean O'Loughlin. The report aims to help investors consider the impact of potential big tech regulation.
— Bill Gurley (@bgurley) July 20, 2019
A bit late to the party here, but "State of AI Report 2019" is a nice overall ambitious attempt at summarizing AI https://t.co/Jw2hNUMTA9 for "research" a bit too much RL and a bit too little vision. Interesting that vision is patented so much more than other areas (p85)
— Andrej Karpathy (@karpathy) July 20, 2019
Dungeon Generation in Diablo 1 https://t.co/FlVtG6nY9u (https://t.co/1vouzjkBvt)
— Hacker News 200 (@newsyc200) July 20, 2019
Exploiting data distributions with *Neural* Bloom Filters: https://t.co/9tWGdg0HRg pic.twitter.com/QatR9RgEoY
— Adrian Colyer (@adriancolyer) July 19, 2019
Notion (@notionhq) raising $10m at an $800m valuation is wild, but that is the leverage of being a profitable company that doesn’t need venture capital. From my story in January: https://t.co/Hjs3sBt0JG pic.twitter.com/J6gxqe7TUE
— Erin Griffith (@eringriffith) July 19, 2019
Super interesting to see this kind of progress in code auto-completion. I've been excited about the rise of no-code platforms over the last few years, and this is the first time I've wondered if "coding becoming more accessible" will legitimately compete w/powerful no-code tools. https://t.co/r1QovZmlzV
— Leo Polovets (@lpolovets) July 18, 2019
"Meta-learning Neural Bloom Filters" Rae et al, ICML'19 https://t.co/9tWGdg0HRg #themorningpaper
— Adrian Colyer (@adriancolyer) July 19, 2019
Space-saving Bloom Filters that exploit data distributions through learned neural networks. pic.twitter.com/nL3X6FefjG
The best time to raise money is when you don’t need it.
— Kyle Tibbitts (@KyleTibbitts) July 17, 2019
The best time to get in a relationship is when you don’t need it.
The best time to negotiate a deal is when you don’t need it.
The best time to build resilience is when you don’t need it.
Neuralink looks like a genuinely interesting technical effort. At the same time, I hope everyone realizes how invasive the device could be. Surveillance capitalism taken to the next level. One way to counter this could be strong cryptography that makes it harder to track users
— Bharath Ramsundar (@rbhar90) July 18, 2019
[FREE e-Book] Learn Classification and Regression in a Weekend: https://t.co/I4CTsFuNZG
— Kirk Borne (@KirkDBorne) July 17, 2019
—————#BigData #MachineLearning #Algorithms #DataScience #Statistics #StatisticalLiteracy #DataLiteracy #Python #DataScientists #abdsc
—————
Go deeper with this book: https://t.co/FUD85T5572 pic.twitter.com/1RKQ06iIDN
3 Types of Regression: https://t.co/qbFUB8BRdA #abdsc #Mathematics #DataScience #Statistics #MachineLearning #Algorithms #StatisticalLiteracy pic.twitter.com/xIzQuv2rUQ
— Kirk Borne (@KirkDBorne) July 17, 2019
Enterprise sales contracts are tough, especially for early stage startups. How should you think through them? I decode 16 of the most important clauses and highlight pitfalls and tactics to work through them. https://t.co/5pka3EUA2j
— Jad Naous (@jadtnaous) July 17, 2019
We've released a preprint with additional scientific detail on our devices for domain experts who want to know more. You can find it on bioArxiv: "An integrated brain-machine interface platform with thousands of channels" https://t.co/In7ZwOFIy9
— Neuralink (@neuralink) July 17, 2019
... and here's the @neuralink white paper #neuralink https://t.co/nitSjash9B
— Arye Lipman (@aryelipman) July 17, 2019
How to ship ML in practice:
— Emmanuel Ameisen (@mlpowered) July 16, 2019
1/ Write a simple rule based solution to cover 80% of use cases
2/ Write a simple ML algorithm to cover 95% of cases
3/ Write a filtering algorithm to route inputs to the correct method
4/ Add monitoring
5/ Detect drift
...
24/ Deep Learning
— Archillect (@archillect) July 17, 2019
Adding a feature to a legacy codebasepic.twitter.com/dF63tZIF0p
— Cassidy Williams (@cassidoo) July 16, 2019
Some random dude getting pissed at his neighbors loud fireworks and deciding the appropriate response is to shoot fireworks (missiles) at them with his personal drone is one of the most cyberpunk things I can think of
— Adam J Calhoun (@neuroecology) July 15, 2019
The future is now? https://t.co/XcfXU3zumh pic.twitter.com/TjkQZFBHSu
How machine learning works pic.twitter.com/NcIYfXzAqU
— Pranay Pathole (@PPathole) July 15, 2019
AT&T is getting sued for selling customers’ location data https://t.co/w6xE5YTDNf pic.twitter.com/zLPUFOHUqz
— The Verge (@verge) July 16, 2019
If you think about Amazon Prime as an annuity (i.e., in terms of lifetime value) it looks like this below. Trying to value Amazon’s Prime business with a P/E ratio is like trying to open a can of corn with a pickle. https://t.co/dgPRy5fYfe pic.twitter.com/VDgwxllzAE
— Tren Griffin (@trengriffin) July 16, 2019
Efficient Video Generation on Complex Datasets
— roadrunner01 (@roadrunning01) July 16, 2019
pdf: https://t.co/ngwdxDK42E
abs: https://t.co/WhfJKvKtLG pic.twitter.com/Yl3NXBvbUS
one year ago I started covering venture capital and startups for @nytimes. looking back at my first big story on mega-round madness - https://t.co/PHUJ8FR2sk - it feels like things have only gotten crazier since then!
— Erin Griffith (@eringriffith) July 15, 2019
A repository of graph classification research papers with implementations (deep learning, graph kernels, fingerprints, factorization) https://t.co/SHL6k7SQUY
— /MachineLearning (@slashML) July 15, 2019
Intel’s Neuromorphic System Hits 8 Million Neurons, 100 Million Coming by 2020 #AI https://t.co/1nX3pcfY5M via @GoogleNews
— Martin Ford (@MFordFuture) July 16, 2019
Ok. What’s the best place to live in LA based on this criteria 1) walkable to food 2) safe-ish 3) fun 4) Not extravagant.
— Cyan (@cyantist) July 15, 2019
Customer Acquisition cost (CAC) in financial services:
— Tren Griffin (@trengriffin) July 15, 2019
"Citi offered cardholders 30,000 airline points to sign up for an online checking account. This quarter, it plans to enhance its Thank You and Double Cash reward programs for select cardholders." https://t.co/Rbf7GVkR7k pic.twitter.com/S7TJAg8MKu
Deep learning based super resolution, without using a GAN https://t.co/2CI0RoT0EY
— Jeremy Howard (@jeremyphoward) July 15, 2019
When Prime launched in 2005, Amazon raised the bar for convenience in online shopping.
— Recode (@Recode) July 15, 2019
This is the story of how a frankly bland idea — fast shipping — was powerful enough to alter consumer psychology forever. From @DelRey: https://t.co/SZvnamLzgm #PrimeDayAmazon
Notes from Peter Thiel's speech yesterday: https://t.co/Vpj1uZbCU4
— Bonnie Kavoussi (@bkavoussi) July 15, 2019
This is actually cool. Blockchain based card game, raises 4$ million pre-sales.
— l̴o̴o̴p̴u̴l̴e̴a̴s̴a̴ (@loopuleasa) July 15, 2019
Looks fun too, but not time for games.https://t.co/jRkCQUNCly pic.twitter.com/XzMpjyjKI4
The flashier fruits of Albert Einstein’s century-old insights are by now deeply embedded in the popular imagination. Perhaps ironically, though, what is arguably the most revolutionary part of Einstein’s legacy rarely gets attention. https://t.co/zPCZUwYQau
— WIRED (@WIRED) July 14, 2019
Einstein Field Equations - for beginners! https://t.co/vfRpncAZfD —- such a brilliant video, cannot stop watching.
— Lilian Weng (@lilianweng) July 13, 2019
We hope that you all saved the date for tomorrow 15th July 2019! Besides the Antara Framework, we will also launch a new website, new visual identity, updated white paper, and partner network program. #Komodo #KMD #Blockchain #DEX #AtomicDEXhttps://t.co/lQj4tKPjko
— Komodo (@KomodoPlatform) July 14, 2019
28 Statistical Concepts Explained in Simple English — part 18: https://t.co/iTOySrYnRi
— Kirk Borne (@KirkDBorne) July 13, 2019
———————#BigData #DataScience #DataLiteracy #StatisticalLiteracy #Statistics #AI #MachineLearning #abdsc pic.twitter.com/z9OHJnCuVG
John Wallis devised this beautiful formula for π in 1655. It is the infinite product of even numbers squared divided by their two adjacent odd numbers. pic.twitter.com/OdetC5Um12
— Fermat's Library (@fermatslibrary) July 14, 2019
Great to see this profile of @johnofa - one of the most humble and genuine in the business. Lucky to have had the opportunity to work alongside him at both Loudcloud/opsware and @a16z. https://t.co/ySbtTfuihI
— Scott Kupor (@skupor) July 14, 2019
Topic models are a hard optimization problem. Instead of solving them, estimate them using ensembles.
— Dillon Niederhut PhD @ #SciPy2019 (@dillonniederhut) July 12, 2019
- @leland_mcinnes #SciPy2019 pic.twitter.com/dmPXo5xtaz
🎉🎉 Introducing a brand new image segmentation editor that supports instances, nested classifications & more! Read the blog post: https://t.co/4TMIhK4SoN
— Labelbox (@labelbox) July 11, 2019
Ever Imagined How The Bitcoin Blockchain Looks In 3D?
— Bitcoinist.com (@bitcoinist) July 12, 2019
The @Symphony_IOHK team at IOHK has released an update to the project — Symphony 2.0 which shows a 3D representation of the #Bitcoin blockchain. https://t.co/zrQjmZaZ2Q
Have you guys held down the Go button for a long while in the iOS Speedtest app yet? If you haven’t just hold it down. You’ll know when to let go. Fascinating.
— Luke 🏳️🌈 (@lukeacl) July 7, 2019
Have you been waiting for a tool like knitr but for Python? Check out Geoffrey Poore's Codebraid #SciPy2019 pic.twitter.com/PmIsXqFm5e
— Dillon Niederhut PhD @ #SciPy2019 (@dillonniederhut) July 11, 2019
to understand how this works in Bitcoin, read @StopAndDecrypt's epic piece on the topic: https://t.co/3WNKLK9AnZ
— nic carter (@nic__carter) July 10, 2019
With my desire to improve everything, I destroy the moment.
— Naval (@naval) July 10, 2019
"Life is never more fun than when you're the underdog competing against the giants." --Ross Perot, founder of EDS, RIP
— Marc Andreessen (@pmarca) July 10, 2019
Rich Barton and Bill Gurley Unplugged https://t.co/LtIJ6Tge0P
— Tren Griffin (@trengriffin) July 9, 2019
1/ My go-to ML algorithm has changed every 3 years:
— Jeremy Stanley (@jeremystan) July 8, 2019
2001: neural nets, Bishop, C++
2004: GLMs, McCullagh & Nelder, glm
2007: GAMs, Wood, MGCV
2010: ElasticNet, Hastie, glmnet
2013: GBMs, @tqchenml, XGBoost
2016: deep learning, @goodfellow_ian & @fchollet, Keras
What's next?
My mom refuses to throw out old things - like my first PC. Got this in 99 after begging my dad for a few years ( was a substantial expense for him). P3 w/ 128mb RAM.
— Sriram Krishnan (@sriramk) July 8, 2019
Single most life changing purchase - both in career terms but more for meeting @aarthir through it. 🙂 pic.twitter.com/Xg5glkcg62
Wealth Creation and How You Can Do It (2019) https://t.co/NW7cvSsjoH remix by @WISHMakersYT
— Naval (@naval) July 8, 2019
"Software engineering for machine learning: a case study" Amershi et al., ICSE 2019 https://t.co/4iXbvsGmgA #themorningpaper
— Adrian Colyer (@adriancolyer) July 8, 2019
Lessons learned at Microsoft as machine learning pervades more and more projects and products.
Oregon is underrated pic.twitter.com/jtLAVfJq8x
— David Haber (@dhaber) July 8, 2019
Is Random Forest better than Logistic Regression? (a comparison) https://t.co/xaY0EMckwJ
— Kirk Borne (@KirkDBorne) July 8, 2019
—————#BigData #MachineLearning #Statistics #DataScience #Algorithms
La sencillez para explicar en este video el área de un círculo. #matemáticas #mathematics #Mathematik #Mathematiques #Ciencia pic.twitter.com/o2WTZsGW9v
— Javier Feu (@javyfeu) July 8, 2019
Public Service Announcement: Money Heist on Netflix is one of the best TV series I’ve seen in decades. Watch in Spanish with English subtitles. Mind blowing. So good. pic.twitter.com/4mH5UPaOVW
— Sriram Krishnan (@sriramkri) July 7, 2019
“The more broadly you define the customer experience, the more opportunities you can identify for improvement.” https://t.co/M0yDKMRXqz
— IDEO U (@IDEOU) July 6, 2019
What's the best science fiction book you've read?
— Shane Parrish (@farnamstreet) July 6, 2019
A look at Netflix's Chaos Automation Platform (ChAP) and how Netflix have introduced automated chaos engineering experiments to their production infrastructure. https://t.co/GB6vkZqZzj
— Adrian Colyer (@adriancolyer) July 5, 2019
The masterpiece
— l̴o̴o̴p̴u̴l̴e̴a̴s̴a̴ (@loopuleasa) July 5, 2019
Feynman's Lost Lecturehttps://t.co/QjLchzEjux
yeah, I've been following his work for a long time. Wrote this five years ago: https://t.co/6uirtJliFi . I've read the thousand brains stuff but need to do more neuroscience reading to have a less fuzzy view of it
— Jack Clark (@jackclarkSF) July 5, 2019
A Guide to Learning with Limited Labeled Data -- https://t.co/gmlcNEJew1
— Cloudera Community (@cldrcommunity) July 5, 2019
today is the 7th anniversary of san diego accidentally setting off their entire show at the same time, resulting in the funniest and most efficient fireworks show ever
— tiger swan lady (@mrs_hippiequeen) July 4, 2019
(CAUTION: LOUD 😂) pic.twitter.com/4qJ2h63HFy
The biggest difference between an IPO and a Direct Listing is that there is no “o” — that is, there is no offering from the company selling its stock to public investors.https://t.co/oQMf4aQVPp via @a16z #DirectListing #IPO #Startup #Invest #LATAM
— Juan Martin Freile (@JuanMarFreile) July 4, 2019
SIDECHAINS ARE NOT LAYER 2
— Georgios Konstantopoulos (@gakonst) July 4, 2019
Let's put a myth to bed.
Thread on the history of sidechains, their security properites, concluded by their differences to Layer 2 solutions.
(there’s a lot of resources, feel free to skip/bookmark for later!)
👇
Demystifying the Math Behind Neural Nets — learn how #NeuralNetworks Learn, with an implementation demonstrated one step at a time: https://t.co/yhz6ZpaEJY
— Kirk Borne (@KirkDBorne) July 4, 2019
————————#BigData #MachineLearning #DataScience #AI #DeepLearning #Algorithms #DataLiteracy #Mathematics pic.twitter.com/puvMMzeyuQ
Yale Endowment Annual Report: “Over the past 20 years, our venture capital portfolio has earned an outstanding 77.4% per annum.” 😯😯😯https://t.co/q8lnRWrZ65
— Moritz (@muellerfreitag) July 3, 2019
How do Maxwell's equations predict that the speed of light is constant pic.twitter.com/ZwjO6dzXSH
— Fermat's Library (@fermatslibrary) July 3, 2019
I helped write some of the earliest parts of this code from 1999-2002. Lots of fun times:
— Jeff Dean (@JeffDean) July 2, 2019
What should you do with robots.txt files in MS Word format?
One site had:
User-agent *
Disallow: /
Instead of:
User-agent: *
Disallow: /
(We made our parser less strict) https://t.co/7FnX8lFKqu
This chart comparing the original iPhone with what else was available is a great illustration of how disruptive innovation doesn’t fit existing competitive rails. (from @waltmossberg’s very sensible launch review) pic.twitter.com/HQCj5En66m
— Benedict Evans (@benedictevans) July 2, 2019
A taste of things to come:
— l̴o̴o̴p̴u̴l̴e̴a̴s̴a̴ (@loopuleasa) July 2, 2019
"AI simulates a highly accurate model of the universe, and even it's creators don't know why it's so accurate"https://t.co/7pi050rcS8
MIT has developed a new drag and drop data exploration + machine learning tool called NorthStar https://t.co/Z89FWnnM2k
— /MachineLearning (@slashML) July 1, 2019
— Tuur Demeester (@TuurDemeester) July 2, 2019
While DeFi has mostly been promoted as an Ethereum phenomenon, Bitcoin can do DeFi too. Analysis: https://t.co/npR17Fc6dZ by @kyletorpey
— LongHash (@longhashdata) July 1, 2019
Aristotle and Three Act Structure: “A whole [story] is what has a beginning and middle and end.” This structure pertains not only to Screenplays, but Sequences, Subplots, and Scenes. https://t.co/9uTtkBX4NJ #storytelling #screenwriting #writing
— Scott Myers (@GoIntoTheStory) July 1, 2019
JUST ADDED: "Proplets: Devices for Controlling Property" by @NickSzabo4 https://t.co/qfqDlw2bXs pic.twitter.com/iZW3uKBk3Z
— Nakamoto Institute (@NakamotoInst) July 1, 2019
