Amazon's Transfer Learning, Urban Company & Interpolation 🐉🌊☔
The Belamy | Weekly Newsletter on Latest in AI & Data Science
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Amazon Is Busy Transfer Learning
Amazon loves transfer learning. The success of this can be seen in its Alexa virtual assistant, which has reached significant strides in the last few years.
Not just Alexa, Amazon has been working on transfer learning across various areas, including product recommendation, AutoML, computer vision, and others.
Two years ago, Amazon introduced two new features called ‘Newscaster and Neural text-to-speech (TTS)’ to its cloud-based TTS service – Amazon Polly.
Besides Polly, Amazon offers multiple APIs that aim at executing tasks within text analysis, which can also explore transfer learning. Some of them include Amazon Personalize, Amazon Forecast, Amazon Transcribe, Amazon Rekognition, Amazon Comprehend, Amazon Lex, Amazon Textract, Amazon Translate, etc.
Data Science Hiring Process At Urban Company
Urban Company data science team consists of five scientists and growing. The company follows a flat structure, with the data scientists reporting to the head of data science.
At Urban Company, the interview process for data scientists consists of four-five rounds depending on the level of hiring.
How Much Electricity Your Favourite Programming Language Consumes
Can you decide which programming language to use when energy efficiency is a concern?
Recently, a set of Researchers analysed the energy efficiency of different software programming languages.
The study concludes that C is the fastest and greenest language. However, the results also show that energy consumption is not always directly proportional to execution time. In fact, there are greener programming languages while being slower than others.
Is Interpolation Overrated?
In a recent paper, the authors Yann Lecun, Randall Balestriero and J´erˆome Pesenti aim to dispel two major misconceptions. The first misconception is that state-of-the-art algorithms work well since they can correctly interpolate training data.
The second misconception is that interpolation happens throughout tasks and datasets.
Video of the Week
Hands-on Guides for ML Developers
PEOPLE & STARTUPS
Sketchnote of the week
Graph Convolutional Networks To Detect Money Laundering In Bitcoin
Anonymity for all users in a decentralized climate also offers anonymity for criminals. It encourages money laundering, theft, and other malicious activities. Governments and institutions have quickly realized this and put forth Anti-money Laundering (AML) regulations for everyone. However, these policies have shortcomings, too.
BOTTOM OF THE NEWS
Here's what all happened last week.