ess and transfo

em allows for a very research-friendly mix of high-level stuff, with very high-performance numbe

ellent third-party library ecosystem, and a great integration story for operating system facili

urrent comput

livery Network Science & Algorithms. The next sections introduce some of the hig

Connect deploys and operates thousands of servers, which we call Open Connect

our members around the world. This system is the cornerstone of every Netflix

ered where your video comes from when you watch Netflix? We serve video strea

dback from the readers which I incorporate in everything I write. The goal of Acing

starting next month, we will require certification of all of our researchers and analysts in ethics and responsible use of user data. To be clear, we already train on legal requirements and security practices — this is a specific focus on the

15 of which have been spent in data strategy and analytics, and 10 years of

e exchange with Facebook is more subtle, involving “soft” value like our atten

negligent behavior by a brand and criminal behavior by a third party, Faceboo

ogether. “Thank you for being a valued customer,” it starts, and proves that we a

t trying hard enough. Go find the person whom you follow, whom you love, who is owning

, they have a few hundred followers and think, “I have 362 people looking at me on Twitter! That’s a lot!”No, it’s really not.

hy competitive analysis is

olutely something to be said for good habits — posting every day, including photo

me-factory Instagram pages have three million followers? If video is the key, how c

vel on

to fool the discriminat

GAN architecture in a pretty intuitive way. In the GAN formulation we have a gene

k and white, and at a 4:3 aspect ratio could particularly benefit from this process. This “remastering” would both colorize and extend the aspect ratio to the more f

ich

mes from the paper “Image-to-Image Translation with Conditional Adversarial Networks” recently out of Berkeley. Unlike vanilla GANs, which take n

o notice you, remember you, and ultimately hire you.A cookie-cutter resume isn’t going to do that for you.Stop worrying about trying so hard to fit in and start looking for ways to stand out.A unique resume isn’t a weakness — it’s you

of time trying to make sure their resume fits what they think is the “industry standard.”They want the design to be

mber, your resume’s purpose is to secure a job you want, not just any job you’r

lude your blog on your resume. I can’t list (or even think of) all

nal

nent of the CRDC. The IDC will be a repository and collaborative workspace for storing, viewing, analyzing, and sharing cancer-related images and associated metadata from disciplines such

Request for Information (RFI) seeks public input and ideas on the propose

want to play Scrabble with keycaps! It has the exact distribution needed for

e to get into the hands of both Scrabble enthusiasts and keyboard enthusiasts, and supplying more than just keycaps would be key to making that happen. W

ard meetup) last summer where I got connected to Massdrop, who would be the i

n I was connected to was an account executive, and he loved the idea. I had to

ed it up and played with the colors for a while, and got to “version 1” of th

bination of my design, Hasbro’s brand, and Massdrop as the seller and manu

consumer brand and a growing startup to produce a pretty amazing (if I do say so mys

ct. In lesson 8, we will try to create

discuss Object detection, Language translation, Big data analysis and other such related topics. In version 1 of fastai, we had disc

ons each day, of different

fully connected(FC) layer with a new randomly initialized FC layer. Training a mo

OOC available which teaches Deep Learning to students with a descent programm

d. KDnuggets keeps a running list of upcoming conferences. Networking – H

d seem unable to compromise if you’re missing even one of them. Others may be more willing to mentor, and look for potential t

g-term goals. Check out this post for more about how data scientists and analytics professionals can manage their care

ies can be a great way to learn more about what you want to do. It can also help you make sure that you’re learning the data scie

rk has been busy acquiring companies—like the virtual-reality company Oculus, solar-powered drone maker Ascenta, and Wh

" says Hinton, before adding with a quick laugh, "except for the p

e ultimate answer is unsupervised learning, but we don't have the

arning from unlabeled data—is closer to how real brains learn

rkings of neural nets were still largely sh

at are essentially like those used in 1995." Fancy dinners were at s

Future of AIThere were many critics. Vladimir Vapnik, a mathematician and the father of the support

g. "The computers we had in France were less endowed." They had

with a version of back prop that calculated the error for multiple inputs at once and then took the average. That value was th

them well-suited to building much more scalable deep nets,

ver way to minimize error. To understand it, you also have t

a, another neural-net great who, in the '70s and '80s, had invented what were called the Cognitron and Neocognitron. The

ding bank checks, it marked the first time convolutional neural nets were applied to practical problems. "Convolutional nets

pute after it failed to deliver on the promises of scientists who firs

st got behind the idea of convnets—an approximation of t

ny fa

umber one in Europe on artificial intelligence dealing with mobility, defense, healthcare, fintech, etc. I think it will be a success. And for me, if a majority of people in France unders

to deal with governments —

on’t walk down this path, I cannot protect French citizens and gua

? So at a point of time, they will have to create actual legal bo

ions. But we have to retrain our people. These companies wi

r government, your people, may say, “Wake up. They are too

would

ome very intense. I will not be so pessimistic, because I think th

sponsibl

possible. But automation or machines put in a situation precise

se I embrace it. My role is not to block this change, but to be a

ivers at all. For me, that’s pure imagination. You already have fu

the qualification of the middle c

h it. Change can destroy jobs in the very short run, but create

big fans of innovative solutions. All the tech guys can tell you

y disrupt transportation, and it’s going to make a lot of people

checks. AI can help you because sometimes when you pas

e contrary: “If you go to this website or this app or this research model, it’s not OK, I have no guarantee, I was not able to

to accept to provide a lot of personal information in order to get access to services largely driven by artificial intelligence on

rent. We will open data from g

ill miss something and at a point in time, it will block every

ack box, they don't understand how the student selection proces

er to frame it by design within ethical and philosophical bounda

ntry to be part of the revolution that AI will trigger in mobility, en

able to assert collective preferences and articulate th

d human DNA, if you want to manage your own choice of society, your choice of civilization, you have to be able to be an acting part of this AI revolution . That’s the condition of having a s

he US and China. In the US, it is entirely driven by the private sector, lar

ers to select you. This can be a very profitable business model: this data can be used to better treat people, it can be used to monit

access to a lot of data. We will open our data in France. I made t

huge acceleration and as always the winner takes all in this field. So that’s why my first objective in terms of education, train

s probably mobility: we have some great French companies and also a lot of US companies performing in this s

ad with me some French companies, but I discovered US, Israe

is in such depth and complexity. To get started, let me ask you an ea

ew national strategy for artificial intelligence in his country.

le to design systems to detect changes and choose a specific and different model to make predictions. This may be appropriate for domains that expect a

ver time. These are traditionally called online learning problems, given the change expected in the data over time. There are domains where predi

“concept drift” refers to the unknown and hidden relationship between inputs and output variab

chine learning and data mining refers to the change in the relationships between input and output data in the

e changing underlying relationships in the data is called concept drift in the field of machine learning. In this post, you will discover t

n objectiveDifferent roles within

ure which track was right for me, but I ultimately decided to give the Manager track a g

models and evaluating them offline. Much fewer Data Scientists have experien

ects. Adam Kelleher has written a great series on Causal Data Science that I recommend

out c

make sure events are triggered when they should. Or it could mean building d

any simple baseline to compare with. Whenever you see this, you shoul

ention model. Our model had around 15 features based on user behavior, and we

culties explaining it to stakeholders. Hence, you should always go for the simpl

my peers be at? How should I work in order to be useful for the organization?

ata Scientist (or Data Science) is and isn’t — there are enough articles around t

houses 40+ Data Scientists. In this post, I’ll go through some of the things I’ve learned over the last four years — first as Data Scientist and then as Data Scienc

arsh

a a

of

the c

lgorith

ding the

ed (di)graph, fin

ices ×whole graphtraversalstar

nting the demands, just like a wish-fulfilling genie. Pity they couldn’t breathe life into the

e of cat-and-mouse continues, and ends up making experts out of both the man

ned eye to detect the counterfeits, and promptly every single one of them is detecte

p learning is the next big thing that’s taking the cake, GAN is the cream on that c

nes. And their nights are lost in teaching machines learning from all this data, by

y training data makes machines perfect. Well, almost.. but definitely by a hug

ANs or Dueling n

questions: are

for all-pairs

n the Floyd–

e results vary quite a bit with the kind of image, because the features that are entered bias the networ

d by Günther Noack,

etwork has correctly learned the right features? It can help to visualize the network’s representation

door or a leaf. The final few layers assemble those into complete interpretations—these neurons ac

and surprisingly little of why certain models work and others don’t. So let’s take a look at some simple

ation host. All proxy servers are capable of caching.Let’s look at the common v

goes from your web-browser to a web-server that serves static resources from the fi

est memory available to it. Sometimes, these registers are referred to as ‘L0 cac

GitHub TopicsTopics show projects in the order of the number of stars in a topic.This means once your project has enough

you have to start it yourself. If your project is not linked from anywhere, it won

EADME file brought. GitHub Stars are actually nothing but bookmarks for visitors

, the README plays the most important role. It is not enough just to list several documents. You, I, and most developers are lazy. Most visitors will simply scro

when possible. I hope it can help you to make your open source project full of

rth more than what it looked like at that point. I did a few things to accomplish that, and as a result it got 2,000 stars in 4 days and 3,000 stars in a week! Now It has

find impossible to compete with. Google controls the search industry and 71% o

, both of them can be managed over HTTP.As far as differences are co

hearing about GraphQL — a new hype in the field of API technologies. Some says it’s good, some says it’s not. Well, I am pretty sure you all must be wondering about

his setting defines the number of worker processes that NGINX will use. Becaus

he http Context. This structure enables some advanced layering of your confi

ebuilt Debian package, the only

at enables it to outperform Apache if configured correctly. It can also do other importa

consist of multiple static files — HTML, CSS, and JavaScript, a backend API service or even multiple webservices. Using Nginx might be what you are looking for

nal array and it can be a vector and a matrix, which depends on the number of indices it has. For example, a first-order tensor would be a vector (1 index).

epresented by linear equations, which are presented in the form of matrices and ve

ce and engineering because it allows you to model natural phenomena and to co

eld, you will not come around mastering some of its concepts. This post will giv

ual trends in device quality that can accumulate over time. For example, a chain of

made about which quality to choose for each chunk that is downloaded.These metrics can trade off with one an

.g. a microwave turning on or going through a tunnel while streaming from a vehicle), can we at least characterize the distribution of throughput that we

we face on the device si

thms for streaming content from those servers to our subscribers’ devices. As we expand rapidly to audiences with diverse viewing behavior, operating on ne

some of the technical challenges we face for video streaming at Netflix and ho

ne can convert VMAF quality to distortion using different mappings; we tested a

its performance has been tuned to our use-case. Yet, the VMAF framework is general and allows for others to retrain it for their own use-case. In fact, a large n

080). In this way, one can use VMAF to assess quality of encoded video at differe

hich means it can be applied wherever the original, undistorted version of a

has always been used during development of video codecs, since almost all seq

oticed by the human eye, since the disruption incurred by the different visua

dder generation, by taking into account the characteristics of video — 

m to be built on the cloud using software video encoding. If and when cloud instances fail to complete a certain encode, it requires re-processing the cor

f the users’ expectations. As more companies launch and become integrated with the market, more DApps will be released and this will increase usability. Plus

bank. This makes it more secure not only against hackers, but also against natural disasters. “Since Blockchain is a decentralized network spread o

ous operating systems. The problem is that we all have specific programs instal

you need it. Buying a program is like buying a house, while using a program on

uitable for such applications, current solutions like Ethereum, Bitcoin, and Lite

as securely storing personal data.“Today, users grant broad consent to c

tocurrencies like Bitcoin and Ethereum, the Windows-maker concludes tha

ividuals need a secure, encrypted digital hub where they can store their identity d

ging our identities and personal data digitally, such as improving privacy and securi

ect aims to accomplish with its platform. It is creating a platform in which data contributors are fully-aware of the data that they are contributing, and ensures tha

ntrol over, and access to, large amounts of data. Coincidentally, the entities tha

better, data to train models with. A model can be extremely sophisticated, but

in which large companies, and even governments, have been competing. Having access to superior models over those of your competitors can provide great com

tructure based on a doubly-linked list that handles browser back and forward

ar keys somewhere and couldn’t remember.Our brain follows association and tries

sy. You’ll have a difficult time finding a real-world application that doesn’t use them. They are ubiquitous.As I worked my way through other structures, I realized one does not simply eat the chips from the Pringles tube, you pop them. The last chip to go in the tube is the first one to go in my stom

“Ah, but what if they ask me trivia questions about which data structure is most important or rank them”At which point I must answer: At any rate, should that happen, just offer them this — the ranking of the da

way, but their lack of usage in my day to day coding. Every data structure I’ve ever used w

ons but is being revived to be available for future generations. In that little corner o

fined by the inconvenient obstacles that we must overcome every day. Work is on

mate our daily news feed. Curating content takes a ton of effort so why not use automation and AI to handle this chore? What could possibly go wrong?

n the idea of the importance of inconvenience in defining our humanity. He w

rk that is supposedly unnecessary in our pursuit of more lofty goals. AI is like A

ked. Also, eliminate any examples that do not paint you in a positive light. However, keep in mind that some

ot a generalized description of what you have done in the past. Be sure to give enough detail for the in

to weight updates. This is the main reason why models freeze. But if we use small learning rates for such layers, then we can fine tune them to sharpen the edges. fastai library does the same by using something they defined as “Differential learning rate”. Wherein we can choose different learning rates for different la