The best teams will design this for themselves.Ad hoc analytics, which require business intelligence professionals who understand the data systems…
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ART + AI — Generating African Masks using (Tensorflow and TPUs)
However, the sample supports generation of 32px images (cifar dataset) and my main task was to extend the model to…
Continue ReadingBuilding a Chat Bot With Image Recognition and OCR
This flow is purely arbitrary and simplified for purposes of this tutorial (i.e. don’t email me about how it can…
Continue ReadingUsing the Economics Value Curve to Drive Digital Transformation
Figure 1: Economic Value CurveThe only way to improve operational uptime given the economic value curve is to spend more…
Continue ReadingPlayground Earth
As the name reveals, this means we create a matrix of the number of occurrences for all possible combinations of…
Continue ReadingLaunching and Scaling Data Science Teams: Business Stakeholder Playbook
One stakeholder to their DS team: “Don’t come up with a recommendation that I don’t understand and don’t agree with.”…
Continue ReadingImplementation of Multi-Variate Linear Regression in Python using Gradient Descent Optimization from scratch
In other words, the minima of the Cost Function have to be found out.Batch Gradient Descent can be used as…
Continue ReadingWhat is the key skill that the best data scientists have?
Here are some examples of variables which can be engineered:Example of an analytical database created to feed a behaviour score…
Continue Reading(Almost) Real-Time Twitter Sentiment Analysis with Tweep & Vader
Let’s create a function to capture and display on a plot the sentiment of all 200 last tweets of Donald…
Continue ReadingLaunching and Scaling Data Science Teams: DS Individual Contributor Playbook
If you can’t translate them, you can’t succeed in the field.” A constant challenge between data scientists and business stakeholders…
Continue ReadingUnderstanding the 3 Primary Types of Gradient Descent
Mini Batch Gradient Descent is commonly used for deep learning problems.ConclusionThis article should give you the basic motivation for the…
Continue ReadingLaunching and Scaling Data Science Teams: Project Summary
I used these conversations to write three best practices guide for launching and scaling data science teams and careers: one…
Continue ReadingSrishti Saha
Let us understand the correlation matrix and covariance matrixCovariance and correlation are two…Data Preparation and Preprocessing is just as important creating…
Continue ReadingGuide to Machine Learning in R for Beginners : Intro to Machine Learning
Quantitative variables typically have measurement units, such as pounds, dollars, years, volts, gallons, megabytes, inches, degrees, miles per hour, pounds…
Continue ReadingAttempting to predict deals on Shark Tank
Combined, each prediction will be closer to the true class than individual predictions.RFC = RandomForestClassifier()RFC.fit(X_train, y_train)y_pred = RFC.predict(X_test)Accuracy = accuracy_score(y_test,…
Continue ReadingSlowFast Explained: Dual-mode CNN for Video Understanding
The consequence of the smaller channel size is that the Fast pathway requires 4x less compute than the Slow pathway…
Continue ReadingExploratory Data Analysis (EDA) techniques for Kaggle competition beginners
Following are the different steps involved in EDA :Data CollectionData CleaningData PreprocessingData VisualisationData CollectionData collection is the process of gathering information…
Continue ReadingI Always Get Sentimental (Analysis) This Time of Year
Here’s one way:compound = []positive = []neutral = []negative = []for x in comments: x_comp = analyzer.polarity_scores(x)["compound"] x_pos = analyzer.polarity_scores(x)["pos"]…
Continue ReadingBuilding and Testing Recommender Systems With Surprise, Step-By-Step
The book was rated by 47 users, user “26544” rated 10, our BaselineOnly algorithm predicts this user would rate 0.import…
Continue ReadingStatistics for Data Scientists in 5 mins
This means that alpha level of 1% requires more statistical evidence than 5%.Why is 5% used as significance level so…
Continue ReadingHow do Tweets go Viral?
College does need to change”.Initial TractionEven if you have good content, you need strong initial traction to have your tweet…
Continue ReadingGame of Modes: Diverse Trajectory Forecasting with Pushforward Distributions
Here is another figure from the paper to illustrate this:Pushing forward a base distribution to a trajectory distribution.If the simulator…
Continue ReadingA Comprehensive Tutorial to learn Convolutional Neural Networks from Scratch (deeplearning.ai Course #4)
A couple of points to keep in mind: We generally use a pooling layer to shrink the height and width…
Continue ReadingThe 25 Best Data Science Projects on GitHub from 2018 that you Should Not Miss
Topics we will cover in this article Tools and Frameworks Computer Vision Generative Adversarial Networks (GANs) Other Deep Learning…
Continue ReadingDeep learning turns mono recordings into immersive sound
Having learned this, it is able to watch a video and then distort a monaural recording in a way that…
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