Hackathon Machine Learning Projects :: diadiemso.com

HackathonMachine Learning - Steve Steele.

We need to make it safer for humans by harnessing the ever-advancing deep learning and newer machine learning technologies. The OpenVINO™ toolkit is one of the leading toolkits in the world allowing users to leverage the toolkit to build world-class deep learning models. The hackathon is powered by the Intel® Distribution of OpenVINO™ toolkit. Machine Learning Code Name Armada: This team worked on an AI tool using Python to analyze position descriptions, course descriptions and some historical data to determine which courses should ne recommended for a given position. Machine Learning Code Name Armada: This team worked on the same project as 2 above using AWS ML Services. This project quickly became the standard to beat. Several of our hackathon team members defected volunteered to work on it. I created a local docker environment pre-built with Python’s Keras framework. I shared it with all who wanted to get their hands dirty with actual machine learning 🙂 to try to beat the AWS team’s results.

29/10/2018 · In this article, we list down popular machine learning hackathon platforms which boast of a formidable user base of machine learning enthusiasts, interesting datasets and problem statements. We compiled platforms that conduct online hackathons so that anyone from across the globe can participate. The Dresden Deep Learning Hackathon d3hack2019 is meant to bring together machine learning experts and scientific practitioners. Teams of 2-4 scientists can apply for the hackathon given a scientific problem they want to solve with machine learning. Machine Learning Forums. Feedback Send a smile Send a frown. 11 Machine-learned model for accelerating discovery of photocatalysts 12 Development of a data-driven method to predict ReaxFF force field parameters 13 Dilute Solute Diffusion 14 Unsupervised Classification of Domains in Nanostructured Thin-films 15 Using machine learning to enhance the efficiency of rare event sampling methods. In October, my colleagues and I took part in a Hackathon at Rolls Royce aerospace. While it was a fun challenge, it got me thinking about some of the common pitfalls and traps that you face when taking on a real-world Machine Learning project. Here are my key takeaways to help you avoid common machine learning mistakes.

Office 365 and Machine Learning idea won the ESPC17 Hackathon The idea, Office 365 as a better collaboration space. The initial idea came from @Joon Du Rant and we added on the table few fundamental questions including. 23/07/2018 · Here we update the information and examine the trends since our previous post Top 20 Python Machine Learning Open Source Projects Nov 2016. Tensorflow has moved to the first place with triple-digit growth in contributors. Last week I solved my first machine learning problem for an online hackathon. I think hackathons bring the best out of us. HackerEarth hosted a Machine Learning Challenge where the challenge was to predict the probability of a loan being defaulted based on a dataset of over 5L records with 45 attributes/columns. 17/09/2018 · The project is “allowing us to use our artificial intelligence capabilities, our machine learning capabilities, our neuro networks – all in a way to open up new opportunities for advertisers and for the people who want to experience really relevant, meaningful ads,” Ramos says.

Dresden Deep Learning Hackathon.

This block provides you the List of machine learning projects based on python,matlab and other langues.It is a collection of Machine learnign Ideas for student projects. Best Machine Learning Projects and Ideas for Students Twitter sentimental Analysis using Machine Learning. In this Machine learning project, we will attempt to conduct. Aiming projects which connect electronic devices to our lives and are smart enough to teach themselves. For the sake of democracy, we had solutions from other fields as well. While the teams are working away, you can read a description of all the ideas presented on the first evening of the Garage48 IoT & Machine Learning. We have also scheduled our first Data Science Hackathon sponsored by IBM and Cortex Logic at The Diz, 111 Smit Street, Johannesburg on Saturday 16 September 2017 from 9am-8:30pm. As this hackathon follows the Deep Learning Indaba week, the theme for the hackathon is also Deep Learning and the event is called Deep Learning Hackathon. DeepSnow is the first solution to combine AI and satellite images to generate data about ski resorts to minimize the effort to create the deep snow that we love. "The goal of DeepSnow was to determine whether or not is possible to use Machine Learning / AI in combination with sat.

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