Gabriel Cypriano

Data scientist. More at gabrielcs.me

22 Followers | 54 Following

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Gabriel Cypriano

422 days ago

Three Ways To Build Startup Value Before Building A Product

forbes.com

Gabriel Cypriano

443 days ago

By training with high learning rates we can reach a model that gets 93% accuracy in 70 epochs which is less than 7k iterations (as opposed to the 64k iterations which made roughly 360 epochs in the original paper).

The 1cycle policy

sgugger.github.io

Gabriel Cypriano

482 days ago

Based on the equity you're offering me, what would my stake be worth if the company were acquired for $200 million; for $500 million; for $1 billion?

Early Uber and Pinterest investor reveals the 1 question everyone should ask before they join a startup

businessinsider.com

Gabriel Cypriano

492 days ago

My “work from home” job is studying how to keep other remote workers engaged

qz.com

Gabriel Cypriano

492 days ago

Internet infrastructure isn’t ready for the AR Cloud, but that’s changing

venturebeat.com

Gabriel Cypriano

495 days ago

Why Are Data Science Leaders Running for the Exit?

datascience.com

Gabriel Cypriano

505 days ago

Spot on.

Soft Skills Will Make or Break You as a Data Scientist

towardsdatascience.com

Gabriel Cypriano

511 days ago

"The most successful products are not the ones with the most features, they are the ones which most effectively satisfy the customer needs.
The goal isn’t to deliver more stuff, faster – the goal is to deliver better stuff.
The Scrum Product Owner role doesn’t fix the problem – it perpetuates the PO as customer mistake.
The team is not accountable for product success, they are focused on pleasing the product owner.
The product owner is a team member – the whole team should take accountability for product success.  The whole team should have ownership of the product, not a single individual"

Jeff Patton on #NoProjects and Product Management

infoq.com

Gabriel Cypriano

511 days ago

it is, at 85g, quite a bit lighter and less bulky than the 325g Magic Leap One. In fact, the Light almost resembles normal sunglasses at first glance.

How A Former Magic Leap Engineer Built A Pair Of Lighter, More Affordable AR Glasses

forbes.com

Gabriel Cypriano

543 days ago

If we perform an EDA on the whole dataset (including the test dataset) and use that info to come up with some feature engineering than we could also suffer from data leakage.

There are many ways of imputing the values, mean, or median. It is up to you how to do it but make sure to calculate the imputation statistics only on the training data to avoid data leakage of your test set.

Common mistakes when carrying out machine learning and data science

kdnuggets.com

Gabriel Cypriano

555 days ago

I would suggest also more generally:

Gradient Boosting
Random Forest
Support Vector Classifier
Extra Trees
Logistic Regression

Comparing 13 Algorithms on 165 Datasets (hint: use Gradient Boosting)

machinelearningmastery.com

Gabriel Cypriano

555 days ago

Great overview of internals.

LightGBM and XGBoost Explained

mlexplained.com

Gabriel Cypriano

582 days ago

Visualizing Machine Learning Thresholds to Make Better Business Decisions

Visualizing Machine Learning Thresholds to Make Better Business Decisions

blog.insightdatascience.com

Gabriel Cypriano

585 days ago

there is no need to spend years obtaining a PhD in order to practise deep learning. Creating software that learns can be taught as a craft, not as a high intellectual pursuit to be undertaken only in an ivory tower

New schemes teach the masses to build AI

economist.com

Gabriel Cypriano

590 days ago

Under SSPL, users can still change and redistribute the software, but it explicitly states that if a person or a company wants to publicly offer MongoDB as a service, they must open source that service -- meaning they must make the code available to everyone for free. Otherwise, they must obtain a commercial license.

Two software companies, fed up with Amazon, Alibaba and other big cloud players, have a controversial new plan to fight back

businessinsider.com

Gabriel Cypriano

604 days ago

Fastai is the first deep learning library to provide a single consistent interface to all the most commonly used deep learning applications for vision, text, tabular data, time series, and collaborative filtering. This is important for practitioners, because it means if you’ve learnt to create practical computer vision models with fastai, then you can use the same approach to create natural language processing (NLP) models, or any of the other types of model we support

Fast.ai launches fastai v1, a deep learning library for PyTorch

venturebeat.com

Gabriel Cypriano

604 days ago

fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices

fast.ai

Gabriel Cypriano

618 days ago

What gives researchers hope is the striking resemblance the olfactory system’s structure bears to other regions of the brain across many species, particularly the hippocampus, which is implicated in memory and navigation, and the cerebellum, which is responsible for motor control. Olfaction is an ancient system dating back to chemosensation in bacteria, and is used in some form by all organisms to explore their environments.

“It seems to be closer to the evolutionary origin point of all the things we’d call cortex in general,” Marblestone said. Olfaction might provide a common denominator for learning. “The system gives us a really conserved architecture, one that’s used for a variety of things across a variety of organisms,” said Ashok Litwin-Kumar, a neuroscientist at Columbia. “There must be something fundamental there that’s good for learning.”

Artificial Intelligence Has a Strange New Muse: Our Sense of Smell

wired.com

Gabriel Cypriano

621 days ago

7 Things You Need To Stop Doing To Be More Productive, Backed By Science

medium.com

Gabriel Cypriano

622 days ago

TODOS devem olhar para fora.

Qual a diferença entre Product Managers e Product Owners, segundo Marty Cagan

somostera.com

Gabriel Cypriano

626 days ago

It’s important to note that a chapter lead is not a manager of the team, but is a manager of a domain that spans across teams

Scaling Agile Development at Spotify

academy.realm.io

Gabriel Cypriano

626 days ago

your main task as a chapter lead is to make sure your chapter members are happy. Sounds shallow? Easy? Think one more time!! This is the hard and most crucial part. It is your responsibility to help your chapter members with their development, both hard skills as well as the soft ones. Help them exploit their strengths and handle their weaknesses. Make sure they are properly equipped to perform their job the best they can. A happy chapter member is the best compliment a chapter lead can get!

Team Lead versus Chapter Lead: the 5 biggest differences

agileadventures.net

Gabriel Cypriano

626 days ago

With this model, changing teams does not mean changing your manager, and dissolving a team doesn’t leave a manager looking for a new role

The Spotify model: how to create, dissolve, and remix teams to be more dynamic and more innovative

agileandchange.com

Gabriel Cypriano

626 days ago

One can ‘t exist without the other. No productive squad without skilled resourcing from relevant chapters. No point in having chapters when there’s no need for the expertise.

Squad versus Chapter: 4 greatest differences

agileadventures.net

Gabriel Cypriano

632 days ago

Google launches new search engine to help scientists find the datasets they need

theverge.com

Gabriel Cypriano

640 days ago

Why feature weights in a machine learning model are meaningless

hackernoon.com

Gabriel Cypriano

648 days ago

Netflix is the latest company to try bypassing Apple’s app store

marketwatch.com

Gabriel Cypriano

653 days ago

Spotify’s $30 Billion Playlist for Global Domination

medium.com

Gabriel Cypriano

655 days ago

I've seen a talk about all the cool things Salesforce does with TransmogrifAI. Highly recommend checking it out

Open Sourcing TransmogrifAI

engineering.salesforce.com

Gabriel Cypriano

662 days ago

the examples contradict the notion that you have to either select an explainable model or a more complex – and therefore more accurate – one. The explanations given using an accurate and complex Gradient Boosting Machine model were as clear as a linear model could get and made total intuitive sense. This also highlights the strengths of SHAP in providing accurate and consistent explanations.

Model Interpretability with SHAP – F1 predictor

f1-predictor.com

Gabriel Cypriano

662 days ago

Traditional feature importance algorithms will tell us which features are most important across the entire population, but this one-size-fits-all approach doesn’t always apply to each individual customer. A factor that is an important driver for one customer may be a non-factor for another.

Demystifying Black-Box Models with SHAP Value Analysis

medium.com

Gabriel Cypriano

664 days ago

Opinion: These 5 tech stocks are in a dot-com-like bubble (and they aren’t all FAANGs)

marketwatch.com

Gabriel Cypriano

681 days ago

If the first thing we do is poke around in our data, our decision will be, at best, something I like to call data-inspired.

Data-Driven? Think again

hackernoon.com

Gabriel Cypriano

772 days ago

Someone transferred $99 million in litecoin — and it only cost them $0.40 in fees

Someone transferred $99 million in litecoin — and it only cost them $0.40 in fees

businessinsider.com

Gabriel Cypriano

774 days ago

A.I. Researchers Are Making More Than $1 Million, Even at a Nonprofit

nytimes.com

Gabriel Cypriano

802 days ago

Think Your Company Needs a Data Scientist? You're Probably Wrong.

entrepreneur.com

Gabriel Cypriano

826 days ago

If a machine knew how to define a contract automatically, and put it on some system that other systems could solve, there is a potential for now machine learning systems solving problems autonomously at a certain level

Algorithmia launches Ethereum-based AI competition

venturebeat.com

Gabriel Cypriano

837 days ago

‘Humans Die. Cryptocurrencies Don’t’: Why You Should Begin Planning Your Estate Immediately

ccn.com

Gabriel Cypriano

837 days ago

Sky-High Salaries Are the Weapons in the AI Talent War

bloomberg.com

Gabriel Cypriano

873 days ago

AI learns how to fool speech-to-text. That’s bad news for voice assistants

thenextweb.com

Gabriel Cypriano

874 days ago

Exclusive: What Fitbit's 6 billion nights of sleep data reveals about us

finance.yahoo.com

Gabriel Cypriano

900 days ago

Google's AI found an overlooked exoplanet, and now our Solar System is tied for biggest

theverge.com

Gabriel Cypriano

937 days ago

Alphabet Launches the First Taxi Service With No Human Drivers

bloomberg.com

Gabriel Cypriano

961 days ago

Apple thinks it's about to change your world with its new iPhone feature, and it could be right

independent.co.uk

Gabriel Cypriano

967 days ago

Doing Data Science at Twitter

medium.com

Gabriel Cypriano

967 days ago

Doing Data Science Right — Your Most Common Questions Answered

firstround.com

Gabriel Cypriano

970 days ago

Google Assistant now sounds more realistic thanks to DeepMind

androidauthority.com

Gabriel Cypriano

970 days ago

Udacity Launches a ‘Learn ARKit’ Course Created in Collaboration with Unity

roadtovr.com

Gabriel Cypriano

980 days ago

"Electrification enables autonomy, and autonomy accelerates adoption of electrification".

How Electric Cars Can Create the Biggest Disruption Since the iPhone

bloomberg.com

Gabriel Cypriano

981 days ago

The new React license will take effect later this week with the launch of React 16

Facebook re-licenses React under MIT license after developer backlash

thenextweb.com

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