I’ve just finished creating an intermediate level Python course. If you have had a course on basic Python and you want to take your skills to the next level, you can take this course to learn concepts that differentiate an expert from a beginner level programmer. We will cover concepts like logging, testing, multithreading, asynchronous programming (async/await), functional programming and regular expressions.
For my blog visitors, there is a special discount and you can get this course for just $9.99. Click here to enroll.
I made this course because I see many people talking about Bitcoin and blockchains but they don’t really know how the tech works! It’s all just a buzz word and that would hamper the true potential of the technology. So, here’s a brief course that will help you understand how Crypto Currencies (such as Bitcoin) work and get you started with your first blockchain and smart contract using Hyperledger Fabric — one of the most popular, modular frameworks for blockchains.
So, head over to the link above and get your intro in 1.5 hours.
I have a new video course that helps aspiring computer scientists excel in almost any area that they decide to pursue by teaching them about the Linux command line — one of the best investments in time anyone working with computers can make.
The course is for beginners but even has something for people who’ve had a little prior experience with the command line.
Update: If you are interested in getting a running start to machine learning and deep learning, I have created a course that I’m offering to my dedicated readers for just $9.99. Practical Deep Learning with Keras and Python .
So you’ve been working on Machine Learning and Deep Learning and have realized that it’s a slow process that requires a lot of compute power. Power that is not very affordable. Fear not! We have a way of using a playground for running our experiments on Google’s GPU machines for free. In this little how-to, I will share a link with you that you can copy to your Google Drive and use it to run your own experiments.
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I gave a talk on Practical Machine Learning, which was well received. It covers the concepts from absolute scratch and covers all prerequisites. It also covers the theoretical foundations. Please go through the videos and let me know how I can improve them.
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So, I’ve been teaching CS101 – Introduction to Computing this semester (Fall 2017). We picked Python as the language. I’ve compiled the videos and all the lecture notebooks. These are being made available in the hopes that they can be useful for someone. Here’s how to get started with these. Read More »
Protein function prediction is taking information about a protein (such as its amino acid sequence, 2D and 3D structure etc.) and trying to predict which functions it will exhibit. This has implications in several areas of bioinformatics and affects how drugs are created and diseases are studied. This is typically an intensive task requiring inputs from biologists and computer experts alike and annotating newly found proteins requires empirical as well as computational results.
We, here at FAST NU, recently came up with a unique method (dubbed DeepSeq — since it’s based on Deep Learning and works on protein sequences!) for predicting functions of proteins using only the amino acid sequences. This is the information that is the first bit we get when a new protein is found and is thus readily available. (Other pieces require a lot more effort.)
We have successfully applied DeepSeq to predict protein function from sequences alone without requiring any input from domain experts. The paper isn’t peer reviewed yet but we have made the paper available as preprint and our full code on github so you can review it yourself.
We believe DeepSeq is going to be a breakthrough inshaallah in the field of bioinformatics and how function prediction is done. Let’s see if I can come up with an update about this in a year after the paper has been read a few times by domain experts and we have a detailed peer review.
I taught an introductory Machine Learning course to BS students at FAST Peshawar in Fall 2015. The feedback was quite positive so I decided to offer another course to the MS/PhD students in the next semester. The mode of teaching was also a bit different: we tried doing the pen-tablet-augmented-multimedia-slides model. The semester is still in progress but we have the core of the basics done now.
The lectures are in Urdu so might be easier to follow for those who understand the language. I will be uploading the future videos as they come up inshaallah. You can see the first video below and follow the complete collection on Vimeo here: https://vimeo.com/album/3770825