data_admin

Some practical examples, tips, and thoughts on supervised ML Earlier this year, through my MBA program at Cornell Tech, I took a great intro course on Machine Learning with a … Read more

Rethinking the problem I decided to pivot and try something new. It seemed to me that there was a clear disconnect between the odd look of the training data and images … Read more

Meng LiBlockedUnblockFollowFollowing Dec 17 Ever seen a destination map in Tableau? It’s usually used to show the tracks of flights, bus maps, traffic and so on. There are loads of … Read more

What is mlFlow? mlFlow is a framework that supports the machine learning lifecycle. This means that it has components to monitor your model during training and running, ability to store models, … Read more

Indeed, true personalization understands customers at a deeper level — their real-time intent, purchasing history, preferences and complex shopping journeys. It then utilizes these insights to tailor congruent, 1:1 interactions across channels. … Read more

Let’s take a look at the following diagram that illustrates the purposes of the specific layers in the CNN. As we can see above, starting from the left we are … Read more

Identifying firms with intentional distortion of financial statements is a challenging and exciting problem among auditors, banks and investors who rely on financial information to make decisions. Yet it is … Read more

Data Collection There are three datasets we’re using to run this experiment: A dataset we’ll collect ourselves that includes over 3400 song lyrics between 1970 and 2018. A list of … Read more

For anyone who has been paying attention, it will not have gone unnoticed that the past year has seen a dramatic expansion in the use of face recognition technology, including … Read more

Explore further the world of data science, machine learning and artificial intelligence We are on a mission to get the best content relevant to data science, machine learning, and artificial … Read more

Article jointly written by Arthur Pesah and Antoine Wehenkel Motivation There are usually two ways of coming up with a new scientific theory: Starting from first principles, deducing the consequent … Read more

How to conceptualize and implement effective data science projects Results, not hype Motivation The more I delve in data science, the more convinced I am that companies and data science practitioners must … Read more

Using Keras and TensorFlow.js to classify seven types of skin lesions Alex YuBlockedUnblockFollowFollowing Dec 16 After doing research on Convolutional Neural Networks, I became interested in developing an end-to-end machine learning … Read more

Learn how to Deal with Anxiety. When you start researching how to become a data scientist, you will discover an unfortunate fact about the profession. Namely, that becoming a data scientist … Read more

Advanced NLP techniques for deep learning With the problem of Image Classification is more or less solved by Deep learning, Text Classification is the next new developing theme in deep learning. … Read more

Dec 16, 2018 Source: Dark Reading Background Our project was inspired by Jamie Ryan Kiros who created a model trained on 14 million romance passages to generate a short romantic story … Read more

Opening up a Colab Notebook When using Colab for the first time, you can launch a new notebook here: Once you have a notebook created, it’ll be saved in your Google … Read more

The origin of logic theory starts at the concept of an argument. The majority of logic textbooks contain an opening, central definition for an argument — one that likely sounds much like … Read more

Yes, SQL still exists During the years of working with telecom data my folder with code snippets collected a lot of reusable examples. And it is not about “SELECT * FROM … Read more

Dec 16, 2018 Art of Generative Adversarial Networks Code link for all the work mention in the post:- We had this pleasure of working on Generative adversarial network project for … Read more

Progressively growing GANs enables them to get bigger and more stable The people in the high resolution images above may look real, but they are actually not — they were synthesized by a … Read more

How to take a map visualization to the next level. First, I will cover two reasons why visualizing data using maps is often compelling to an audience. Then, I will cover … Read more

Inorganic knowledge traditions with model-based reinforcement learning This essay explores the concept of inorganic knowledge traditions capable of sequential improvement using model based reinforcement learning Many behavioral economists presently believe … Read more

3. Model Building in R I have used the dataset which contains the details of 2,201 flights. The descriptions of each variable are as below. 3.1) Datasets schedtime : the scheduled time … Read more

As a newbie to machine learning most people get excited when their training error starts reducing. They try hard further and it starts reducing even further, their excitement knows no … Read more

Project by David Chen, Ashwin Gupta, Shruthi Krish, Raghav Prakash, Wei Wang Twitter is a social media platform that millions of users use to share updates about their lives. Often, … Read more

Exploring an important healthcare performance metric Photo by Hush Naidoo on Unsplash Project Overview Predictive analytics is an increasingly important tool in the healthcare field since modern machine learning (ML) methods … Read more

Using TensorFlow probability for Hamiltonian Sampling Free photo from https://pixabay.com One type of criticism I received for the previous work on project estimation is that the log-Normal distribution has short … Read more

This article focuses on how to utilize a popular open source database “Influxdb” along with spark-structured streaming to process, store and visualize data in real time. Here, we will go … Read more

The law has language at its heart, so it’s not surprising that software that operates on natural language has played a role in some areas of the legal profession for … Read more

Keras is an API used for running high-level neural networks. The model runs on top of TensorFlow, and was developed by Google. In this particular example, a neural network will … Read more

I tried my hand at using the R package, randomForest to create two regression models for tree height and basal area based off some lidar and field-collected data in the … Read more

Generate characters from Alice in Wonderland Introduction Text generation is a popular problem in Data Science and Machine Learning, and it is a suitable task for Recurrent Neural Nets. This … Read more

The first and most important step of our journey: As I have said before, we are going to simply ask questions that will guide us to build an image classifier. For … Read more