Anthony Aerts

600 Flips | 3 Magazines | 1 Following | 9 Followers | @AnthonyAerts | Data Scientist and Eco-farmer

Google Cloud for Data Science: Beginner's Guide

Learn to set up a data science environment on Google Cloud: create an instance on Google Compute Engine, install Anaconda and run Jupyter notebooks!

Linux

An Introductory Guide to Regularized Greedy Forests (RGF) with a case study in Python

Introduction<p>As a data scientist participating in multiple machine learning competition, I am always on the lookout for “not-yet-popular” algorithms. …

Generalists Dominate Data Science

Analytics products and systems are best built by small teams of generalists. Large teams of specialists become dominated by communication overhead, …

Logo detection using Apache MXNet

<i>Image recognition and machine learning for mar tech and ad tech.</i>Digital marketing is the marketing of products, services, and offerings on digital …

A Gentle Introduction to Vectors for Machine Learning

Vectors are a foundational element of linear algebra.Vectors are used throughout the field of machine learning in the description of algorithms and …

Understanding Learning Rates and How It Improves Performance in Deep Learning

This post is an attempt to document my understanding on the following topic:<p>What is the learning rate? What is it’s significance?<br>• How does one …

Deep Learning

Introduction to AWS for Data Scientists

These days, many businesses use cloud based services; as a result various companies have started building and providing such services. Amazon began …

Data Scientist – best job in America, 3 years in a row

For the third year in a row, Data Scientist was ranked as the no. 1 job in America by Glassdoor.

Unlocking the digital opportunity in metals

Driving a full digital transformation of a metal company is a complex undertaking. To succeed, companies need to develop a scalable model, with a set …

Manufacturing

The Question with AI Isn’t Whether We’ll Lose Our Jobs — It’s How Much We’ll Get Paid

<i>The basic fact is that technology eliminates jobs, not work. It is the continuous obligation of economic policy to match increases in productive potential with increases in purchasing power and demand. Otherwise the potential created by technical progress runs to waste in idle capacity,</i> …

Python Iterator Tutorial

Learn all about the Python iterator, how they differ from iterables and generators, and how to build one yourself with __iter__, __next__ and …

Anomaly detection with Apache MXNet

<i>Finding anomalies in time series using neural networks.</i>In recent years, the term “anomaly detection” (also referred to as “outlier detection”) has …

How Will AI Change Work? Here Are 5 Schools of Thought

The future of the workforce is one of the biggest issues facing CEOs today. It’s abundantly clear to all that artificial intelligence, big data analytics, and advanced robotics make it possible for machines to take on tasks that once required a person to do them. How should companies prepare, …

Machine Learning with R Caret – Part 1

This blog post series is on machine learning with R. We will use the Caret package in R. In this part, we will first perform exploratory Data …

Are You Setting Your Data Scientists Up to Fail?

Getting as much as they can from analytics is critical for companies seeking to monetize their data, become data-driven, and put their data to work. Yet most find this difficult. Indeed, the failure rate of analytics projects remains distressingly high.<p>A key reason for this is that senior managers …

Introduction to Functional Programming in Python

Most of us have been introduced to Python as an <b>object-oriented</b> language; a language exclusively using classes to build our programs. While classes, …

Amazon Go Launched: An AI Powered Store that puts an end to Check-Out Lines

Amazon opened a cashier-less store yesterday in Seattle in a bid to do away with long check out lines. Called ‘Amazon Go’, the store uses AI powered …

The Olympics are adding AI Powered Robots from next month's Winter Games

The South Korean government is planning to have 85 robots at the Winter Olympic Games in Pyeongchang next month.<p>In December 2017, a humanoid robot …

Understanding Naïve Bayes Classifier Using R – R

The Best Algorithms are the Simplest<p>The field of data science has progressed from simple linear regression models to complex ensembling techniques …

As AI Makes More Decisions, the Nature of Leadership Will Change

It is tempting to regard artificial intelligence as a threat to human leadership. After all, the very purpose of AI is to augment, improve, and ultimately replace human intelligence, which is still widely regarded, at least by us humans, as our key competitive advantage. There is no reason to …

What Makes A Good Data Scientist At A Small Company

Data science is one of those fields that everyone’s talking about but few people know how to do “properly.” Schools are just now starting to pick up …

The Gluon API Specification

The Gluon API specification is an effort to improve speed, flexibility, and accessibility of deep learning technology for all developers, regardless …

Managing Machine Learning Workflows with Scikit-learn Pipelines Part 2: Integrating Grid Search

Another simple yet powerful technique we can pair with pipelines to improve performance is grid search, which attempts to optimize model …

Colaboratory

Colaboratory is a Google research project created to help disseminate machine learning education and research. It’s a Jupyter notebook environment …

11 actionable steps to protect your online privacy (Infographic)

While online privacy is well recognized as a matter of paramount consideration, global internet users surprisingly, aren’t doing enough to protect …

Data Science is Changing and Data Scientists will Need to Change Too – Here’s Why and How

<b>Summary:</b><i> Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic</i> …

Recommender Systems in Python: Beginner Tutorial

Learn how to build your own recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender …

Data May Be the New Oil, but Having Lots of It May Not Make You Rich

AI is coming. That is what we heard throughout 2017 and will likely continue to hear throughout this year. For established businesses that are not Google or Facebook, a natural question to ask is: What have we got that is going to allow us to survive this transition?<p>In our experience, when business …

Time Series Data: A Difficult Yet Tameable Beast

It seems like every quarter a new McKinsey report predicts that this will be the year trillions of dollars of IoT potential is unlocked. But while …