Robocop was a classic 80s action movie and now, it seems somewhat prophetic.
Not long ago, I thought that my days writing research papers were behind me. Since getting into data science, that seems like a faulty assumption. While the field has definitely left the academic sphere and taken off in the public and commercial space, the field still has a heavy accent on academia. There are even data science conferences that require a paper be published before you can submit a talk.
Fortunately for me, Siraj Raval share his tips on how to write a research paper.
If the cost of a new smartphone makes you cringe, then check out this video to learn how to create your own with a Raspberry Pi!
In this episode of the AI show Erika follows up on her previous episode by showing the actual code behind training and using the music generation model.
This includes the code for both creating the features from the midi file and returning a midi file from the features. She also shows how Keras is used to generate the actual model.
If you’r curious about how to build your own Magic Mirror, the Youtube channel Nerdphilia has a walkthough, complete with pet shenanigans.
In this talk from NodeConf EU 2017, Nikhila Ravi explains the advantages of client-side machine learning vs. server-side machine learning.
Here’s a great talk on how to use CosmosDB in conjunction with Apache Spark.
Since I started doing Data Science a few years ago, I have used more advanced mathematics than I ever thought I would have. And, as I take the DeepLearning.ai classes, that use of mathematics has accelerated.
Given that the math side of Data Science and AI is not going away any time soon, it’s probably best to get good at it.
Fortunately, for all of us Siraj Raval explains how to read math equations in a way that only he can: quickly and awesomely.
Here’s a two hour course explaining why Blockchain is a big deal.