Often when I talk to organizations that are looking to implement data science into their processes…
In this post, I will go through the AUC ROC curve and explain how it evaluates your model’s…
This blog will cover the different architectures for Recurrent Neural Networks, language…
A few weeks ago I was in a supermarket with my girlfriend, we were invited to a dinner and we wanted to…
- December 28, 2017
Data is often messy, and a key step to building an accurate model is a thorough understanding of…
A machine learning algorithm using image data from the New York City Department of Transportation showed that during…
Vectorized Implementation
If you are following us here, you probably have read the story about LWF benchmark. We are number six there btw. Recently, Faceter was listed on the website of another popular benchmark — MegaFace.
This model architecture is useful for machine translation and speech recognition.
Let’s use the first application in an example. We want to translate an input text in French (x<1>, x<2>, …, x<Tx>) to an…
Optimization is a fascinating area with a lot of uses, especially these days with Machine Learning (ML). As…
It all started when I moved to Madrid.
New Yorkers who take the bus or ride a bicycle know that one of the most infuriating and dangerous aspects of their trip is cars and trucks parked in a designated…
মেশিন লার্নিং এর পূর্বশর্ত — ১
Les termes Machine Learning, Big Data, Deep Learning sont nouveaux, porteurs d’innovation et de plus en plus répandus. Ceci n’est qu’une partie du domaine des Data Sciences. En plus des salaires attrayants, ce secteur connaît une demande de plus en plus accrue au…
Welcome to the bi-weekly letter covering Deep Learning Patterns, Methodology and Strategy. We’ve come up away to organize the topics to appeal to the broadest of audiences. The more general topics always are at the top, while more specialized ones are…
Machine Learning (ML) will become pervasive across all Data Centers services. Here…
Artificial Intelligence is the buzz word right now and as somebody who is into data science, I have been…
A full roadmap to deal with most machine learning problem.
For latest update of this roadmap, please refer to my Github. I will only update over there.
Using Keras to create a simple machine learning model
Predict fashion dataset on MNIST data and see images for machine learning
By — Sudip Bhandari
One of the major subjects concerning the future of technology and other various fields associated with it today is: “How is Machine learning and AI going to affect X?”…
Last week I attended a tech talk organised by Uber and Datagiri which happened here in Bangalore. It was on…
With two weeks to prepare Project #3 (to focus on supervised learning) at the Metis Data Science Bootcamp in Seattle, I quickly narrowed my selection down to health care, and then to the classification…
We all talk a lot about machine learning and AI. Still, many people think of machine learning as a complicated black box. It doesn’t have to be.
If you’ve always wanted to be part of the discussion and find your own use cases for…
David Kell is Co-Founder and Chief Technology Officer of Gyana AI, a software as a service platform…
FST It’s not quite as slick to take data slices, but it’s potentially faster and you can write a compressed file to save disk space.Like SQLite, it’s best not to have too many columns, so we’ll work with the transposed version of the data frame, with SNPs as rows. Writing and reading…
Great use of word embeddings (see previous blog) is done by a sentiment…
The team tasked with evaluating Industrial IoT Predictive Maintenance solutions often lacks direct Machine Learning discipline expertise.
Greetings and salutations! We steadily tick off our roadmap. And it’s time to tell about two our…
I woke up, brushed my teeth, said my prayers and completed my morning routine. Usually, my…
Can you imagine Playboy being a top contributor to your academic field? Every Computer Vision…
Last year, I debuted on Medium explaining how I had used data and algorithms to predict the NCAA tournament. If you’re curious, you can find that article here. This year, I did it again, but with a bigger model, more data, and, more interestingly, a human!
In 2000, Enron was one of the largest companies in the United States. By 2002, it had collapsed into bankruptcy due to widespread corporate fraud. As a result of the ensuing trial, many of the employees emails had…
My project
I’ve been thinking a lot recently about the role of a data scientist and how it differs from that of a machine…
In this paper Geoffrey Hinton et al. describe how this can be done. Hence one can mostly circumvent the problem that the best models are…
The main goal of this reading is to understand enough statistical methodology to be able to leverage the machine learning algorithms in Python’s scikit-learn library and then apply this knowledge to solve a classic machine learning problem.
Maybe you’ve already heard about things like „Machine Learning“, Artificial Intelligence and all those weird things that scare most of the people. Mainly because they think about some Hollywood block…
Thanks for sharing this excellent notes. I am working on a document Classification model using R. We have 4 labelled category in the dataset. I started with logistic multinorm but removed later. I am using SVMpoly, Neural Net, C5.0 and kNN. The dataset is slightly imbalanced. Cat1-71, cat2-53, cat3-16, care — 48 are different categories and count of…
This post would give both Tensors, with their elegant flow, and Tensorflow with its high performance due to its C++ backend and lazy evaluation due to its computational graph execution model, center stage.
What are the things that identify you? I’m sure that list includes your voice. The sound of your voice, the way you speak, the things you say, all that makes it easy for close people to you to recognize you.
Apple co-founder Steve Wozniak quipped:
“I agree with the ‘A’ in AI” but not…
In the 1990s, the world witnessed a shift from a knowledge-driven approach to a…
Let me ask you a question: Between machine learning and big data, which would you say is older? Most people, I think, would say that big data is older. After all, we’ve stored data for literally ages, right? Ever since the Ancient Egyptians started tallying grains…
Last Tuesday, 03/13/2018, I decided to start my first NLP (Natural Language Processing) project. The…
Will Siri replace human customer service? What you need to know about Artificial Intelligence and the future we all face.
Aworker collaborates with the next-gen Neuroseed platform to help it find, select and evaluate…
Today, 03/15/2018, I realized that it will take a lot of time until I achieve the number of tweets that I think that will be enough to train an NLP algorithm. Time to time I was fetching batches of up to 200 tweets and I was classifying them one by one and saving them…
Using AI in the digital world doesn’t come as a surprise any longer. Brands are constantly trying to overtake each other with brainstorms concerning big data, machine learning, and real-time analytics. How can television find itself in this technological rat race?
Artificial Intelligence is intelligence displayed by machines, in contrast with the…
Rational choice theory is a cornerstone of conventional economic thinking. It states that:
Two person in my mind, deep learning
Today I worked hard for planning of actions within a half year from now. When doing that, my state of mind was calm, not as usual. Although, I was nervous and frightened because I cannot express my though in a formalized way. It seems I have two persons in my mind. One is incredibly…
When you search for best programming language for machine learning you’re almost guaranteed to get one of two responses — Python or R. The battle between the two gets to almost fanatical levels. I’ve chosen the Python route because it is a general purpose…
The singularity has been here for a while…
