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Our Machine Learning, Python and & random experiences.

Embedded Vision Summit 2019: My talk and takeaways

As a machine learning engineer, building solutions in the vision and deep learning fields, I’d always had my eye on the Embedded Vision Summit, a leading computer vision conference taking place yearly in Silicon Valley. When I found out I had been invited to speak at the 2019 edition of the conference taking place May 18-21, I was obviously very excited. This was going to be an amazing opportunity for me to share my experiences in the field, and of course I was all in.

Transform 2019 Conference — Accelerate your business with AI

Our effort spent curating the list of machine learning conferences over the last two years has proven that there are an evermore increasing number of interesting machine learning conferences taking place around the world. While they all deserve mention and are worth attending, there are some conferences that we think are especially noteworthy given their great lineup of speakers and programs and that we’ve tagged Tryolabs’ Picks. One of our favorite conferences is Transform 2019, which takes place July 10-11 at the Union Square Hilton, in Downtown San Francisco.

Can you beat this pricing algorithm?

This post was written in collaboration with Facundo Parodi, Research & Machine Learning Engineer at Tryolabs. Deciding on the best price for a product or service you’re providing, in order to maximize business profit, is not a trivial problem, not at all. Actually, it’s always ongoing, since you can never tell if the price you chose is better than others you didn’t. Even if you try other prices, market conditions may change, as they frequently do.

My talk at the Tom Tom Festival 2019

In January, I got the great news that I had been invited to give a talk at the sold out Applied Machine Learning Conference (AMLC), which would take place at the Tom Tom Summit & Festival in Charlottesville (Virginia) in April. I had heard great things about the 2018 edition and was eager to know Charlottesville, so I immediately accepted the invitation. 🤗 That's me, talking about ConvNets at the Tom Tom Festival 2019 About Tom Tom Summit & Festival The Tom Tom Summit & Festival is an annual event with the following mission:

We are proud supporters of Khipu.ai, the biggest AI meeting in LATAM

We’re thrilled to announce that we’re Gold Sponsor of Khipu.ai, a top notch artificial intelligence meeting taking place in November 2019 in Uruguay. Besides the sponsorship, we’re very excited to be among a list of notable speakers from around the globe. Let us introduce some of them. Speakers Yoshua Bengio Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence and a pioneer of Deep Learning, for which he was recently awarded a Turing Award together with his colleagues Geoffrey Hinton and Yann LeCun.

5 actionable steps to get your data ready for price optimization with ML

There’s some great theory around about pricing with machine learning (ML) and, in particular, the importance of the “right” data to build a successful ML model. In practice, though, we’ve seen that there’s a lot of confusion around the data types and formats that retailers can use to automate pricing or to implement price optimization systems using ML. That’s why we came up with 5 steps every company can take to prepare its data for price optimization.

11 questions to ask before starting a successful Machine Learning project

Machine Learning (ML) algorithms are changing nearly every industry. They’re increasing productivity, boosting sales and helping us make more informed decisions. Many organizations are either already leveraging the power of ML, or have it laid out in their roadmap as an opportunity worth pursuing. Trouble is, ML is complex and you might ask yourself what you need to consider when starting a ML project. Asking that question is absolutely right!

Top 10 Python libraries of 2018

Like in 2015, 2016 and 2017, we’re thrilled to share our hand-picked selection of the top Python libraries (according to our most humble opinion) with you. If you can think of a library that is not mentioned here but you believe deserves to be on the list, please let us know in the comments section at the end of the post. Here we go! 1. slundberg/shap Along with the Deep Learning boom that we’re experiencing, a huge amount of new tools have seen the light.

The major advancements in Deep Learning in 2018

Deep learning has changed the entire landscape over the past few years. Every day, there are more applications that rely on deep learning techniques in fields as diverse as healthcare, finance, human resources, retail, earthquake detection, and self-driving cars. As for existing applications, the results have been steadily improving. At the academic level, the field of machine learning has become so important that a new scientific article is born every 20 minutes.

How we built a stand-in robot for remote workers using IoT and computer vision

With clients and partners located around the globe, we’ve always had a culture of remote collaboration here at Tryolabs. We are used to joining meetings no matter where we are, using tools such as Slack, Google Hangouts, and Zoom. A sweet consequence of this is a generous work from home policy, allowing us to work from home whenever we want. Trouble is, working remotely leads to us missing out on all the fun that takes place outside of meetings when we’re not connected.

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