The City of Seattle provides a dataset of active business licenses from the years 2010 to 2016. Each entry in this dataset holds the various attributes such as: Business Legal Name Trade Name License Start Date Location NAICS Code NAICS Description What is particularly interesting in this data set is the inclusion of the NAICS Code (standing ...
After Data manipulation and Data visualization, an ML model will be built on the UBER dataset to get predictions for the price. These are supplemented with free projects, assignments, datasets, quizzes.

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Sep 11, 2019 · Como sabéis, el Machine Learning es uno de los temas que más nos interesan en el Portal y, máxime, cuando gran parte de las tecnologías son Open Source. En esta entrada, os indicamos los 30 proyectos más interesantes en en este año. One of Uber’s biggest uses of data (and likely the one that draws the greatest ire from passengers) comes in the form of surge pricing, a model nicknamed “Geosurge” at Uber. If you’re running late to an appointment and you need to book a ride in a crowded downtown space, be prepared to pay almost twice as much for it. Petastorm is an open source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. Oct 29, 2020 · Compressing large neural networks is an important step for their deployment in resource-constrained computational platforms. In this context, vector quantization is an appealing framework that expresses multiple parameters using a single code, and has recently achieved state-of-the-art network compression on a range of core vision and natural language processing tasks... ZOUBIN GHAHRAMANI,Uber AI Labs, USA and University of Cambridge, UK We present the preliminary high-level design and features of DynamicPPL.jl 1 , a modular library providing a lightning-fast infrastructure for probabilistic programming. Autopilot in a Cessna is extremely primitive and can fly either a given heading, speed or maintain altitude and keep the wings level. If you have a fancy avionics pack (which isn't default!), it may be able to fly a route between pre-programmed waypoints. Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned. control repositories such as GitHub and (2) Defexts, a family of real-world bug datasets tailored towards modern JVM languages. Due to its minimalist syntax, Kotlin has become one of the two official languages for Android [10] and has been routinely used in practice (e.g., Uber, Square, Coursera, and Twitter apps). haidaoxiaofei's Blog - GitHub Pages Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor. Uber made the payment last year through a program designed to reward security researchers who report flaws in a company's software, these people said. Uber's bug bounty service -- as such a program is known in the industry -- is hosted by a company called HackerOne, which offers its platform to a number of tech companies. Contribute to msabhi/mining-uber-dataset development by creating an account on GitHub.Nov 28, 2018 · We introduce the Metropolis-Hastings generative adversarial network (MH-GAN), which combines aspects of Markov chain Monte Carlo and GANs. The MH-GAN draws samples from the distribution implicitly defined by a GAN's discriminator-generator pair, as opposed to standard GANs which draw samples from the distribution defined only by the generator... Aug 20, 2019 · ... where deep neural networks can be used both in models and in inference. To scale to large datasets and high-dimensional models, Pyro uses ... Many of Uber’s user’s problems are spatiotemporal in nature. Two months ago, the company open sourced, a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation datasets. Kepler is currently used by 75,000 Uber-external users and received over 2,500 GitHub stars. Code 17 Jan 2019. Static Dataset for One-Belt-One-Road & Greater Bay Area Below is a hand-crafted dataset for the basic information of the country list for One Belt One Road and Greater Bay Area. Sep 23, 2020 · convert an array of values into a dataset matrix. def create_dataset(dataset, look_back=1): dataX, dataY = [], [] for i in range(len(dataset)-look_back-1): a = dataset[i:(i+look_back), 0] dataX.append(a) dataY.append(dataset[i + look_back, 0]) return numpy.array(dataX), numpy.array(dataY) fix random seed for reproducibility. numpy.random.seed(7) In today’s R project, we will analyze the Uber Pickups in New York City dataset. This is more of a data visualization project that will guide you towards using the ggplot2 library for understanding the data and for developing an intuition for understanding the customers who avail the trips. anonymous check-in dataset, it would be possible to re-identify a user by cross-referencing even only four or ve check-ins he or she shared on Twitter. Current research in geo-privacy protection for trajectory data has mainly focused on two scenarios: disclosing real-time locations and publishing historical trajectory data [13]. Sep 26, 2019 · Hey, guys I've built this really cool tool using which we can visualize top lidar and corresponding bounding boxes in 3D using mayavi. Here's the code: https... The main purpose of this post seems to be Uber's way of standardizing their workflows + a little extra glue (which they're calling their platform). It still provides a lot of value. Also, Uber does have a few cool open source projects: (but could admittedly have more). Explore and run machine learning code with Kaggle Notebooks | Using data from Uber Pickups in New York City Mar 18, 2014 · RT @systemagie You aren't gonna need another (data) portal #YAGNAP Use & improve existing ones: make datasets #FAIR, add issue tracking and validation reports. If you don't have access to an existing one: publish just datasets with ld+json annotations or use existing ones like e.g. @qri_io. Yesterday from Chris Whong's Twitter via TweetDeck Data for individual ridehailing apps—Uber, Lyft, Juno, and Via—comes from the FHV Base Aggregate Report Both reports are updated monthly, often on a 2-3 month lag, but timeliness can vary There are two additional TLC for-hire vehicle classes—black cars and luxury limousines—that are omitted from the graphs in order to reduce clutter oDerived datasets: each number is computed from other dataset(s) §e.g., each voxel value is a t-statistic reporting activation significance from an FMRI time series dataset, for that voxel §Each 3D array in a dataset is called a sub-brick oThere is one number in each voxel in each sub-brick Fundamental AFNI Concepts 3x3x3 Dataset With 4 Sub ... In this Spark tutorial, we will use Spark SQL with a CSV input data source using the Python API. We will continue to use the Uber CSV source file as used in the Getting Started with Spark and Python tutorial presented earlier. Blog about Programming, Open Source, Technology, Software and IT Jobs.
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