Discover and read the best of Twitter Threads about #ML

Most recents (16)

#MachineLearning in System #trading. Here is a simple idea to improve your system.

#MachineLearning(#ML,#DeepLearning) is used in stock trading algorithms/system intraday or EOD based system. Mostly these systems are predictive systems.

(1/n)
These predictive system are based on given OHLC and other indicators (like RSI,MA,etc) tries to predict the value of next close/open/...using Machine learning/AI algorithms. There are many simple statistic based systems(call it non-AI system) also... (2/n)
Aim: to improve win ratio using #MachineLearning specifically classification algorithms
Input: your historical system trade data with various system parameters(like, rsi, supertrend , atr, etc) along with status or trade(winning or losing)
(3/n)
Read 15 tweets
On #AAPL:
From 10y ago
nielsen.com/us/en/insights…

Recessions clean up the noise in the #market and are a great opportunity to rethink assumptions, spot where the real value is, and build for that.

A storm is coming, better learn to fly! 🚀
#Apple built the most successful business of all time around a mega hit product 📱

Saturation comes now in the verge of an economic slowdown that will clear the way for the next big revolution. And someone will surely bring spot the opportunity 💡

It may just not be Apple.
#iPhone launched just before a crisis that brought down the incumbents (Nokia, Motorola, Alcatel, Ericsson) and ate the PC 💻 , started a whole App economy and changed the world 🌎

I think #AI is that next big thing, it’s already here and will be the platform to build upon.
Read 15 tweets
@phenrikand 1/ I’ve been in the digital cash and eMoney space since 1999 for co-design bit.ly/NavyCash It was centralised command control money digital USD on an EMV card where the backend -> every transaction traced & tracked by float manager @jpmorgan debitcard ATMs via @Mastercard
@phenrikand @jpmorgan @Mastercard 2/ Every Navy base & every ship in a flotilla was like an island🌴 at sea (at any point in time it could have only local and no or limited comms back to treasury) Similar to today’s offchain and onchain networks eventually reconciliation would happen. DoubleSpends manual captured
@phenrikand @jpmorgan @Mastercard 3/ Proof of Work Blockchains tend to centralisation. The top5 PoW 💥 Blockchains generally work 💪and have a huge bounty on their embedded value across their networks PoS and others not so much
Read 15 tweets
1) nih.gov/sites/default/…
scroll to pg 27/28 Human Fetal Tissue Research #Obama announced his intention to launch a Precision Medicine Initiative #PMI 2015
@NIH
#Genome
ATTN: #whitehats #QAnon #Q
2) @AllofUsResearch
allofus.nih.gov/about/who-we-a…
NIH, as a federal awarding agency, is responsible to Congress and the U.S. taxpayer for carrying out its mission
Read 4 tweets
Fishing boats to small stores, @amazon will stop at nothing to win in India #DesigningTomorrows #design #hcd #retailfutures #Retail #localization #india
ow.ly/LZUM30mMkxX
#Trends #Retail A large Indian FMCG company, #Marico using #MachineLearning & #Analytics to grow not only their own business but helping their distributors grow simultaneously #DesigningTomorrows #RetailFutures #AI #ML

livemint.com/Companies/NUlR…
#Trends #Retail Brick & mortar retail is having a moment. @Fahrenheit212 What can we learn from the successes and make it a movement. written by @#DesigningTomorrows #RetailFutures #Storytelling

fahrenheit-212.com/boiling-point/…
Read 6 tweets
You don't understand anything until you learn it more than one way.
-Marvin Lee Minsky, American scientist, co-founder of @MIT 's AI laboratory

#DeepMoji #ArtificialIntelligence #AI #MachineLearning #ML #bullying #racism #socialmedia
Visit deepmoji.mit.edu to play with phrases and help turn words into emotion.
@threadreaderapp please unroll. Thanks!
Read 5 tweets
Il cancro rappresenta il paradigma dell'immortalità. Se nelle cellule sane esiste un meccanismo 'salvifico' di apoptosi, le cellule cancerose non vogliono morire. Mai come adesso ricerca e nuove tecnologie sono in grado di combattere ad armi pari. Quattro esempi. #OneGiantLeap
Cancer-fighting nanorobots programmed to seek and destroy tumors.
Study shows first applications of DNA origami for nanomedicine.

#cancer #nanorobots #nanomedicine #DNA #origami
sciencedaily.com/releases/2018/…
Google’s Machine Learning Model can Detect Cancer in Real-Time.

#cancer #MachineLearning #ML #ArtificialIntelligence #AI
analyticsvidhya.com/blog/2018/04/g…
Read 8 tweets
Kicking off day 1 of #ODSCWest. I'll be tweeting through the next few days and pinging #GCDigital folks for interest or potential follow-up. #opensource #DataScience #openeducation @School_GC
First up: @asuonline will be hosting an educational analytics conference in March 2019 focusing on what we can learn from learner data and how to structure learning to better meet learner needs. #ODSCWest
#AI differential - being able to tailor products to specific users == better able to predict value to and from users. E.g. cost to deliver value to user vs. cost to company to deliver that value. Allows ruthless competitive focus - @DataRobot #ODSCWest
Read 21 tweets
#ProtestNIPS I am starting this new hashtag. Please retweet if you are in support of @NipsConference changing its name. Looking for ideas on how to wear protest on our sleeves/carry signs throughout the conference. Ideas? We can't let the board get away with this shoddy treatment
Members of NIPS board: #ProtestNIPS: NIPS acronym encourages sexism and is a slur. Change the name - Sign the Petition! chn.ge/2Ra0Ysv via @Change PS: added @GoogleAI image search to show how common usage of the word is at odds with professionalism of @NipsConference
A woman told me that a gun toting bro physically threatened her on @mxlearn over @NipsConference name change. Can the board realize how terribly clueless they are on stresses we face. Sign the petition chn.ge/2Ra0Ysv #ProtestNIPS
Read 10 tweets
Closing the loop on #Diagnostics #Tweetorial with example #AppleWatch #AFib #Screening. From a company website: "Atrial fibrillation is a silent killer. The heart arrhythmia causes more life-threatening strokes than any other chronic condition, and will affect 1 in 4 of us."
"But the sad fact is that atrial fibrillation often goes unnoticed: It is estimated that 40% of those who experience the heart condition are completely unaware of it."
Using #AppleWatch technology and #DeepLearning #AI #ML, a device algorithm can reportedly detect atrial fibrillation with high accuracy (c-statistic 93%).
Read 44 tweets
#Tweetorial on #Diagnostics and #Screening interpretation.
An otherwise healthy 40 year old woman comes to you after reading on the internet about a terrible disease that one in a thousand women get, and a highly accurate test that can save her life.
The test is over 99% accurate in people with the disease. For those without disease, the test is only wrong 5% of the time.

You order this test and it comes back positive. The woman anxiously asks you, do I have the disease? What is the chance this woman has the disease?
Assuming they weren't immediately fooled by the "test is only wrong 5 % of the time," most I've asked correctly recognize the stats provided are Sensitivity = 99% and Specificity = 95%, and that the objective is to determine the Positive Predictive Value.
Read 21 tweets
Happening now: @jovialjoy is unpacking bias + #ML @lesbiantech #GHC18 big crowd
Came late. But here goes..

Only requirement to join Algorithmic Justice League is to come up with a superhero name + a burning desire to help. @jovialjoy #GHC18
Companies are now moving towards algorithmic accountability l. Started work in 2016. Movement now. Joined IEEE to help with this work. TED talk over 1M views. @jovialjoy #GHC18 + @lesbiantech
Read 11 tweets
Bayes’ Theorem Definitions:
The vertical bar | stands for "given that".
P = Probability.
A & B are events.
P(A) & P(B) are the probabilities of events A and B. Each event is separate from the other.
P(A|B) is the probability of A being true given that event B is true.
#SoDS18 #ML
Example:
Say we have 2 coolers at an owambe: Cooler A is filled with 10packs of small chops only. Cooler B has 5packs of small chops and 5packs of Asun. You are then asked to close your eyes and pick a pack out of one cooler, which pack would you pick? #MachineLearning #SoDS18
Because you know that we have more of small chops in both coolers, your brain is most likely going to tell you have picked a pack of small chops - even when your eyes are closed. This is not wrong.
#MachineLearning #SoDS18
Read 14 tweets
@francesc @vadimlearning First #MLonCode paper presented by @vadimlearning is "code2vec: Learning Distributed Representations of Code" by Uri Alon, Meital Zilberstein, @omerlevy_, and @yahave.

arxiv.org/abs/1803.09473
@francesc @vadimlearning @omerlevy_ @yahave The second #MLonCode paper, also presented by @vadimlearning, is "A General Path-Based Representation for Predicting Program Properties" by ... wait for it ... Uri Alon, Meital Zilberstein, @omerlevy_, and @yahave 🎉

arxiv.org/abs/1803.09544
@francesc @vadimlearning @omerlevy_ @yahave Next, our #ML intern Romain Keramitas, is reviewing the #MLonCode paper "Mining Idioms from Source Code" by Miltiadis Allamanis and @RandomlyWalking

arxiv.org/abs/1404.0417
Read 15 tweets
Read 25 tweets

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