Carlo

<a href="https://github.com/GoogleChromeLabs/carlo">Carlo</a> is a headful Node app framework for building desktop applications.

Carlo development on a Web server

5 great JetBrains plugins that will make you and your dev team more productive in a remote setup: GitLive, Code Time, Git Machete, Stepsize, Smart Search. 

5 JetBrains Plugins to Take Your Productivity through the Roof

The demand for innovation and collaboration improvements for remote teams (and dev teams in particular) is probably one of the strongest trends to bet on.

Prepare for 2022 With These Developer Tools 

Let’s take a look at the best JetBrains plugins that can seriously improve your remote working routine. 

The Best JetBrains Plugins For Remote Working

Top 5 VS Code Extensions for Remote Working

Learning Python the Hard Way - The Why, Hows, and Whats

Learning Python the Hard Way

Become an Idea Generator via the S.C.A.M.P.E.R. Method

A deterministic framework for estimating future discretionary benefits in life insurance, offering tight bounds without Monte Carlo simulation.

Estimating Future Discretionary Benefits Without Monte Carlo Simulation

Watt2Trade CEO Carlos Aurelio Hernandez explains how blockchain technology is transforming the $10 trillion energy market.

Breaking Energy's Centralized Monopoly—Watt2Trade CEO Carlos Hernandez on Tokenizing Real Kilowatts

ChatGPT helps build a full Monte Carlo simulation for copula modeling—no human coding needed, just natural language and math prompts.

Using AI to Build a Monte Carlo Simulation

Monte Carlo simulations analyze the impact of alpha & power corrections in A/B test decision rules, optimizing error rates for better statistical reliability.

Evaluating A/B Testing Decision Rules with Monte Carlo Simulations

Explore how variance reduction techniques like importance sampling, antithetic variates, and control variates improve accuracy and efficiency in simulations.



Monte Carlo Simulation and Variance Reduction Techniques

Analyze option pricing methods, comparing FDM and Monte Carlo simulations, while exploring variance reduction techniques in the Black-Scholes model.

Comparative Analysis of Option Pricing Methods: FDM, Monte Carlo Simulation, and Variance Reduction 

Explore the power of Monte Carlo simulations in understanding and validating blockchain reputation systems.

Monte Carlo Simulations for a Sustainable Blockchain-Driven Reputation System

In this interview, you are going to learn more about Carlos's blockchain career and DEGA, his brainchild.

Exclusive Interview With DEGA Founder and CEO Carlos Rene

Monte Carlo Simulation is a statistical technique that injects randomness into a dataset to create probability distributions.

Using Monte Carlo Simulation for Algorithmic Trading

Use Monte Carlo simulation to understand the risk in fantasy baseball.  Learn why optimizing a lineup is a tall order.

Using Monte Carlo to Explain Why You Don't Win Daily Fantasy Baseball Games

Writing is like putting a lot of different ingredients in a blender and seeing what comes out, according to Carlo Occhiena, one of Hackernoon's contributors! 

Writing is Like Putting Different Ingredients in a Blender and Seeing What Comes Out, says Carlo

How I became obsessed with helping students connect college degrees to careers sooner. So, I decided to build a platform and call it Steppingblocks.  

"Using this method, I went from a teller to an executive," says Carlo Martinez CEO of Steppingblocks

Carlo Occhiena from Italy has been nominated for a 2020 Noonie in the Future Heroes and Technology categories. The Noonies are Hacker Noon’s way of getting to know — from a community perspective —  what matters in tech today. So, we asked our Noonie Nominees to tell us. Here’s what Carlo had to share.

Carlo Occhiena, 2020 Noonie Nominee, is Interested in No-Code Solutions

Here is a retrospective to highlight the beautiful humans of Hacker Noon.

Carlos Domingo : The Beautiful Humans Of Hacker Noon (Noonies Winner for Best AMA, 2019)

A few months ago I was accepted into a data science bootcamp - Springboard, for their data science career track. As part of this bootcamp I had to work on Capstone projects that would help build my portfolio, show my ability to extract, clean up data, build models and extract insights from said models. For my first project I opted to build a Monte Carlo Markov Chain pipeline initially with the objective of building a multi-touch attribution model that would help me understand conversion rates from different states in the signup process and use that to understand which channels appeared to deliver the greatest conversion rates for users coming through a given landing page and transitioning through the different signup states defined in my dataset. 

Building a Monte Carlo Markov Chain Pipeline Using Luigi

Half-way into 2018, it’s become clear that we’ve strayed far away from the jubilant exuberance that characterized the peak months of December and January.

CARLO

http://www.carlo.pe

11-50 emps

Since 1986

Carlo's Related Companies

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Reviews About Carlo

Carlo WIKI

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CARLO

http://www.carlo.pe

11-50 emps

Since 1986

Carlo's Related Companies

1977

362.3B

1986

250.3B

1931

52B

2020

4.9B

2013

2.6B

2016

2.6B

1997

2.2B

1944

1993

2000

1982

1872

1875

-1%

2008

2019

2018

2019

Representing this company? Click here to claim and customize this page!

Reviews About Carlo

Carlo WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

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Classic

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Dark-Mode

Neon Noir

Minty

HN StartUps