Very happy to announce that, starting in January, I’m joining CrowdCent full-time! I will focus on financial data, NLP and Numerai models. CrowdCent’s vision is to decentralize investment management by aligning incentives, crowdsourcing ideas and processing them with machine learning. For more information: https://crowdcent.com
I just released a new blog post on getting started with Numerai Signals using stocknewsapi.com and a sentiment analysis model (FinBERT). Blog post link here Accompanying code link here This post was written for Weights and Biases. More blog posts that I wrote for this platform can be found here.
For the last two weeks I started writing for Weights & Biases (W&B) as part of their author program. They are making very cool tools for machine learning engineers. I will highlight some essential features in upcoming blog posts. My first blog post is on getting started with Numerai, which is a data science tournament…
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100 days ago, AI Youtuber Siraj Raval proposed the “100 Days of ML Code” challenge. In this challenge you pledge to code and/or study machine learning for at least an hour everyday for 100 days. You also keep a log of your progress through social media. As a ML freak with time on his…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 This is my last blog post in this series, because I will be going on a vacation. Last week we studied Siraj Raval’s “Intro to Deep Learning” series. This series is a bit more challenging…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 We are onto the 3rd month of the curriculum and this month is focused on a popular subset of Machine Learning: Deep Learning. Deep Learning is a powerful aspect of Machine Learning that is inspired…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 Week 7 was awesome! It consisted of studying Udacity’s free “Intro to ML“. The course is very comprehensive and interactive. It features explanation as well as individual exercises. The course is an excellent preparation for…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 Last week (week 5) of this curriculum was about three of Siraj Raval’s courses on Youtube: “Python for Data Science“, “The Math of Intelligence” and “Intro to Tensorflow“. I have combined them in one…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 Week 4 of this curriculum focused on learning the basics of algorithm design and analysis. The free edX course called “Algorithm Design and Analysis” is excellent for this. Although edX recommends to complete this course…
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In case you are not familiar with Siraj Raval’s “Learn Machine Learning in 3 Months” curriculum check out this video: http://aitu.be/Siraj3 Week 3 of this curriculum was about probability through the MIT edX Course “Introduction to Probability“. The time recommended to take this course is 18 weeks and completing the course in one week proved very…
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