Loreto Bravo

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AI in the court: When algorithms rule on jail time

CLEVELAND (AP) — The centuries-old process of releasing defendants on bail, long the province of judicial discretion, is getting a major assist ... …

Fairness Measures - Detecting Algorithmic Discrimination

The increasing prevalence of automated decision-making process is increasing the risk associated to models that can potentially discriminate against …

From Data to AI with the Machine Learning Canvas (Part I)

A framework to connect the dots between data collection, machine learning, and value creation<p>Machine Learning systems are complex. At their core, …

What's the difference between data science, machine learning, and artificial intelligence?

When I introduce myself as a data scientist, I often get questions like “What’s the difference between that and machine learning?” or “Does that mean …

Artificial Intelligence

Home · DS100 Fa17

Principles and Techniques of Data Science<p>Combining data, computation, and inferential thinking, data science is redefining how people and …

Data Science

At Platform LA, Future Malls Are Experience Buffets

We sat down with Platform founder and CEO Joey Miller to discuss how the retail space is delivering experiential pop-ups, installations and culinary …

Build a Data Lake Foundation with AWS Glue and Amazon S3 | Amazon Web Services

A data lake is an increasingly popular way to store and analyze data that addresses the challenges of dealing with massive volumes of heterogeneous …

A Startup Playbook for Data Science Projects

Keep your development team from getting mired in high-complexity, low-return projects<p><i>This post is a follow-up to</i> <i>“Four Big Ideas Shaping Product</i> …

Machine Learning

Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part I

The Chief Data Officer (CDO) role is red hot!! If you don’t have one, then you are totally uncool and unprepared to reap the bounty of wealth offered …

Determining the Economic Value of Data

<i>[Note: I have been trying to write this blog for several years. But instead of trying to perfect the concept, perhaps the best approach is to simply</i> …

Building Data Products To Realize Data-Driven Business Models

Digitalization changes organizations. Data-driven companies not only consider how to improve operational and management processes using data …

Evaluating Data Science Projects: A Case Study Critique

<b>By Tom Fawcett, Silicon Valley Data Science.</b><p>I’ve written two blog posts on evaluation—the broccoli of machine learning. There are actually two …

The fundamental differences between automation and AI

The terms “artificial intelligence” and “automation” are often used interchangeably. They’re short-hand for robots and other machines that allow us to operate more efficiently and effectively — whether it’s a mechanical construct piecing together a car or the signal that sets off the smoke alarm in …

I am not a real data scientist.

I have never used a deep learning framework, like TensorFlow or Keras.<p>I have never touched a GPU.<p>I don’t have a degree in computer science or …

Data Science

Millennials and Their Employers Want the Same Thing. They Just Don't Know it Yet.

The workforce is changing, but in ways it really isn't very hard for employers to live with.<p>7 min read<p>Opinions expressed by <i>Entrepreneur</i> contributors are their own.<p>We’re in the midst of a significant generational shift that is changing the face of work.<p>Baby boomers are retiring in droves, while …

Leadership

Millennials are telling you why your company stinks but you’re not listening: A Q&A with Simon Sinek

Leadership expert and author Simon Sinek has become something of a Millennial Whisperer. With an outrageously popular TED talk and a willingness to …

index

Learning Python for Social Scientists<p>I’ve compiled a list of Python tutorials and annotated analyses. I've tried to list pages that are accessible to …

Python Data Science Handbook

This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.<p>How to Use this Book<p>Read the book in its …

The Low-Tech Skills I Look For In Every Data Scientist I Hire

A former Yahoo exec who’s now MasterClass’s operations chief explains why adaptability matters as much as technical chops.<p>Hristo Gyoshev is hiring data scientists right now, but he isn’t just looking for people with advanced technical know-how. It takes more than that to land a job offer.<p>Now the …

An introduction to Support Vector Machines (SVM)

So you’re working on a text classification problem. You’re refining your training set, and maybe you’ve even tried stuff out using Naive Bayes. But …

Wanted: Data scientists. No math chops? No problem.

FORTUNE — <b>Dear Annie:</b> I am expecting to be laid off by a major investment bank (as part of a restructuring the company recently announced) and, …