Using open source technology is a no-brainer.My solutionAt a high level, my solution takes an image from a dashcam video,…
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Generating Pokemon-Inspired Music from Neural Networks
In terms of model architectures, we were able to learn about and implement bidirectional layers, and we got to see…
Continue ReadingCreating GraphQL APIs Using Elixir Phoenix and Absinthe
The mutation is defined in lib/graphql_web/schema/schema.ex while the input parameter values are defined in lib/graphql_web/schema/types.ex —input_object :update_post_params do field(:title, :string)…
Continue ReadingPython vs (and) R for Data Science
He came up with some interesting observations based on the data:If you’re looking to move towards Linux next year, you’re…
Continue ReadingDoodling with Deep Learning!
Below is the custom CNN model that we created with number of convolutional layers, dense layers, dropout and size as…
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 ReadingKan Nishida
25–11/20/2018AI and Decision Making, 18 Most Important Sales KPIs…Chart Pinning in ExploratoryChart “Pinning” is a super useful feature that is unique…
Continue ReadingA Kernel for Mapping with Gaussian Processes
I ended up using this function because the computation of the geopy distance takes too long for gaussian process regression.Here…
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 ReadingHow not to Use Machine Learning Models
I was very interested in how the presentation team will be using the model though, so I asked the question,…
Continue ReadingNLP Breakthrough Imagenet Moment has arrived
(Source: Matthew Peters)In light of this step change, it is very likely that in a year’s time NLP practitioners will download…
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 ReadingModernizing Academic Data Science
Modernizing Academic Data ScienceFour principles from software engineering to improve scientific reproducibilityPatrick BeukemaBlockedUnblockFollowFollowingDec 14SummaryReproducibility is essential to scientific progress, yet most…
Continue ReadingThese incredibly real fake faces show how algorithms can now mess with us
Recommended for You A radical new neural network design could overcome big challenges in AI Google says it won’t sell…
Continue ReadingUsing Starbucks app user data to predict effective offers
Using my best_model function, I get the below dataframe of the results:#get best model overall for bogo,discount and info offersbest_model('bogo').append([best_model('discount'),best_model('info')]).transpose()Model…
Continue ReadingExploratory Data Analysis, Feature Engineering and Modelling using Supermarket Sales Data. Part 1.
e.t.cYou get the hang of it.I could also create features from the existing ones by doing what we call Feature…
Continue ReadingPractical aspects — Logistic Regression in layman terms
Why we choose this specific cost function (and not a linear function or any other function for that matter) is…
Continue ReadingGet a glimpse of future using time series forecasting using Auto-ARIMA and Artificial Intelligence
Get a glimpse of future using time series forecasting using Auto-ARIMA and Artificial IntelligenceVeer KhotBlockedUnblockFollowFollowingDec 14AI and futureCurrently, there is a…
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We have full video courses and tutorials on many popular programming languages and frameworks (including JavaScript, Python, Java, Ruby, C,…
Continue Reading19 ways to become a better Node.js developer in 2019
With time, unconsciously you’ll start mind security in every design decision and every code lineExamples:Try OWASP ZAP — a rich assessment &…
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 ReadingAI and Machine Learning: Moving from Training to Education
If this not how we train a human child (who are undoubtedly way much smarter at learning than even their…
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 ReadingUsing CNNs and RNNs for Music Genre Recognition
This model passes the input spectogram through both CNN and RNN layers in parallel, concatenating their output and then sending…
Continue ReadingHands-on Machine Learning Model Interpretation
the middle-aged people have a slightly higher shap value, pushing the model’s prediction decisions to say that these individuals make…
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