How long does it take you to decode the first picture vs the second?Visualization: Shelby Temple, made with Tableau; data:…
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Ben Weber
A Brief Introduction to PySparkPySpark is a great language for performing exploratory data analysis…Automated Feature Engineering for Predictive ModelingData Science for…
Continue ReadingIsaac Faber
Nassim Taleb Twitter warHow can two data experts…Animating Your Data Visualizations Like a Boss Using RWhen telling a data-driven story, few things…Five books every…
Continue ReadingIn Praise of Artificial Stupidity
The frenzy is not limited to the Valley: a cloud of somewhat overlapping concepts — big data, data science, machine learning, Artificial…
Continue ReadingHow to Learn Data Science: Staying Motivated.
It doesn’t matter if you feel like you are too busy, if you are going to be successful on your…
Continue ReadingWhat’s the fuss about Regularization?
Thus Lasso is useful in feature selection wherein it eliminates the unnecessary features by reducing their weights to zero and…
Continue ReadingProcessing Time Series Data in Real-Time with InfluxDB and Structured Streaming
Processing Time Series Data in Real-Time with InfluxDB and Structured StreamingThis article focuses on how to utilize a popular open…
Continue ReadingHow Linkedin Data Scientists Use Your Data?
How Linkedin Data Scientists Use Your Data?Christopher BolardBlockedUnblockFollowFollowingDec 14How Linkedin Data Scientists Use Your Data?With more than 575 millions users on its…
Continue ReadingWhy You Shouldn’t be a Data Science Generalist
You’ll generally be treating machine learning models as APIs or components, which you’ll be plugging into a full-stack app or…
Continue ReadingData Science Curriculum from Scratch 2018 (Part 1)
The purpose of the curriculum is to serves as a guideline for you to get started on data science even…
Continue ReadingThe Data Science Workflow
If you used third party data sources during training, think whether you will need to integrate with them in production…
Continue ReadingUnpacking (**PCA)
Staring with sample data as usual.rng = np.random.RandomState(1)X_raw = np.dot(rng.rand(2, 2), rng.randn(2, 200)).TX_mean = X_raw.mean(axis=0)X = X_raw – X_meanDefining the…
Continue ReadingClosing the Sale: Predicting Home Prices via Linear Regression
However, the results are difficult to interpret (selling price in log or square root dollars) and we aren’t able to…
Continue ReadingDeep Learning CNN with R and Tensorflow
Data training is 1–20 sequence data of “Indomie” , and data from 31 until 50 images of “Sedap”train=gambar_resized[c(1:20,31:50)]test=gambar_resized[c(21:30,51:60)]par(mfrow=c(4,10))for (i in 1:40)…
Continue ReadingLearning Big O Notation with Swift
However, linear-based activities still provide value when prototyping complex systems in a technical interview or real-world setting.CONSTANT TIMEWhen evaluating algorithms,…
Continue ReadingDynamoDB: Data Modeling
However you can switch between the two – so, in the example above you would use Provisioned capacity normally, but…
Continue ReadingBelow the Surface: Data and Groundwater
Source: Climate Data Guide; D.SheaGRACE Tellus Dataset and Planet OSAs Planet OS continues to deliver streamlined access to high-quality weather, climate, and…
Continue ReadingPython — A Journey from being a Beginner to an Expert — part 1
Python interpreter takes each line of code, interprets & executes it.Now, let’s use Jupyter Notebook (IDE) to write our first…
Continue ReadingVaex: Out of Core Dataframes for Python and Fast Visualization
Vaex does not really care about the file format, as long as you can memory map the data, you will…
Continue ReadingIcoOmen: Using Machine Learning to Predict ICO Prices
However due to the sparsity of the data (less than 10% of the data had most of the required fields),…
Continue ReadingNadir Nibras
US Police Killings: What the Data tells usExploratory Data Analysis using R of US police killings…Predicting Bike-share users with Machine LearningA step-by-step…
Continue ReadingBioinformatics and Data Science
Although in industry, the larger the data sets get the more specialized and faster tools are needed for data processing…
Continue ReadingLearning from Machines: What Traditional Manufacturing Can Teach Us About Data Products
As soon as data products rely on continuous incoming data, the framework needs to follow the supply management practices of…
Continue ReadingMastering data structures in Ruby — Persistent lists
We have to take extra care each time we use it from our code, and, of course, never expose it…
Continue ReadingTop Examples of Why Data Science is Not Just .fit().predict()
If you want to learn more about data leakage you can watch my lightning talk, starting at 11:15 (only 10…
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