The Rise of Artificial Intelligence

Hello Readers! Welcome to yet another value prediction work! Today, we will be looking at the in-demand dataset , namely Genetic Variant Classifications . We will look at this dataset and go for it's primary objective, that is classification of  the two lab reports and determining whether they both conflict or not. The Kernel you may want to look at for more information : Conflicting result classifications As usual, we will be looking at the dataset with the aim of EDA , Feature Engineering and Predictions Exploratory Data Analysis One would like to see what are the Chromosomes vs Class distribution of this data. For that, you can simply use :  As you can observe in the graph given below, the dataset happens to be heavily biased towards the  non- conflicting  genes and that too with the  CHROM == 2  standing out as the clear bias winner. Since the incidents where the genes are recorded to be  conflict...

Hey there! My dear readers.  Today this kernel review is going to be about the famous MNIST data-set, one of the most famous introductory datasets which we encounter along side Iris dataset and the titanic survival challenge data sets.  Since it is a competition kernel, I have decided not to make it public. (yet) Also,  if you want to try your hands at the challenge itself, then you can find the challenge page here :  Note: This kernel has been largely focused on network modelling rather than Exploratory Data Analysis because it's simple, classic stuff. Still, I will try my best to explain that stuff here. Exploratory Data Analysis First indication of a great dataset is the face that it gives all the mentioned labels equal rows in it and this one doesn't disappoint. This data set maintains a fair 4000+ entries per label which actually is a great statistic for a good dataset. And the next thing one needs to know is how...

Hey Readers! Good news for all the "cheap fair power" computer fans, as a result of a major collaboration effort between TensorFlow and Raspberry Pi foundation, one can now install tensorflow precompiled binaries using Python's pip package system !  When TensorFlow was first launched in 2015, they wanted it to be an “ open source machine learning framework for everyone ”. To do that, they needed to run on as many of the platforms that people are using as possible. They have long supported Linux, MacOS, Windows, iOS, and Android, but despite the heroic efforts of many contributors, running TensorFlow on a Raspberry Pi has involved a lot of work. If one is using Rasbian9 they can simply use these 2 commands to install tensorflow on their machine! According to an excerpt from TensorFlow's medium article page :  " We’re excited about this because the Raspberry Pi is used by many innovative developers, and is also widely used in education to ...

Data Science and Artificial Intelligence fans, this might be a good day for you. Google DeepMind Cofounder gives a teenage AI fan  pieces of advice, and I think you should know that too! Some artificial intelligence specialists at organizations like Google and Facebook are currently acquiring more cash than venture financiers at Goldman Sachs and J.P. Morgan.  These specialists additionally have the benefit of working in a field of technology that is ready to majorly affect the world we live in.  Be that as it may, for some individuals, it's not clear how to approach landing a job in AI. This week, 17-year-old Londoner Aron Chase asked Shane Legg — the chief scientist and cofounder of DeepMind, an AI lab acquired by DeepMind for a reported £400 million — for five pieces of advice for an AI enthusiast like himself. " Hey Shane I’m currently 17 from London England and am very passionate about AI, also learning about in-depth human needs. What would be the 5 piec...

Hey Readers,  As Python has gained a lot of traction in the recent years in Data Science industry. I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent experience. NumPy When beginning to manage the scientific undertaking in Python, one unavoidably desires help to Python's SciPy Stack, which is an accumulation of programming particularly intended for scientific processing in Python (don't mistake for SciPy library, which is a piece of this stack, and the network around this stack). Along these lines we need to begin with a glance at it. Be that as it may, the stack is quite huge, there is in excess of twelve of libraries in it, and we need to put a point of convergence on the center bundles (especially the most fundamental ones).  The most major bundle, around which the scientific computation stack is constructed, is NumPy (remains for Numerical Python). It gives a plenitude of valuable highlights for tas...

Hey Readers, today I bring forth an exciting news for you all aspiring data scientists and machine learners! Something new happened in Microsoft Research Blog :  The Microsoft Research Outreach team has worked extensively with the external research community to enable adoption of cloud-based research infrastructure over the past few years. Through this process, we experienced the ubiquity of Jim Gray’s fourth paradigm of discovery based on data-intensive science – that is, almost all research projects have a data component to them. This data deluge also demonstrated a clear need for curated and meaningful datasets in the research community, not only in computer science but also in interdisciplinary and domain sciences. Today we are excited to launch  Microsoft Research Open Data  – a new data repository in the cloud dedicated to facilitating collaboration across the global research community. Microsoft Research Open Data, in a single, convenient, cloud-hosted ...

Hello everyone! Welcome to the first edition of Open Source Weekly where I bring you to the new and updated Github  repositories which we use now and then. Pandas (Python) The @pandas-dev/pandas  have recently started a new contribution milestone for non organisation members named "Contributions Welcome", which happens to be described as  Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.  And as for now, it is about 20% completed. So do look out for new issues here and there if you are interested in making some sexy Data Frame stuff. Atom (JavaScript) The @atom/atom  are facing a really interesting issue right now, Namely :  Atom does not quit on OS X  #17672 Interesting, no? Apparently both shortcut and menu bar exit ain't working for this guy, so incase anyone is interested in helping out: they surely can. The Link f...