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6 Tips for MLOps Acceleration & Simplification

(image by author)MLOps (machine learning operations) is key for improving business productivity by getting data science to production....

Why the IDE is not the future of SQL-based analytics

Queries need context unavailable in IDEs. [You’ll have a better time writing...

Split image array into tiles using numpy

Developing intuition on array strides and numpy.reshape()Fig. 1. Problem illustration. Image by Author.There are plenty of situations...

The time has come to decouple AI from human brains

We might need to let go of the limitations of human thinkingAI and human brains might need to part ways. Image by authorIn the summer of...

Detecting Age And Gender with TF-Lite On Android

Part 1: Designing and training a custom TF Keras modelPhoto by Johan Mouchet on UnsplashWe’ve all performed age, gender or emotion...

How I Went From an Academic Advisor to a Data Analyst

From zero math classes as an undergraduate to a career in data sciencePhoto by Andrew Neel on UnsplashSometimes I get asked how I went from a career in academic advising to data analytics. In this post, I explain my...

10 Skills of A Successful Data Scientist

It takes more than just knowing how to program to be a good data scientist.Photo by Lewis Keegan on UnsplashChanging careers or starting a new one is often a confusing trip; that’s because, in the beginning, you...

Mapping Sales Hotspots and Anomaly Detection

Identify clusters’ location based on their sales density.Photo by Thomas Chan on UnsplashLawson (2010) questioned why hotspots should be detected and also the best way to do this in practice. He concluded that we...

MoleculeNet Part 1: Datasets for Deep Learning in the Chemical and Life Sciences

From UnsplashTowards an “ImageNet moment” in Molecular Machine LearningThis post was co-authored by Bharath Ramsundar from DeepChem.Benchmark datasets are an important driver of progress in machine learning. Unlike...

Be Careful When Interpreting Predictive Models in Search of Causal Insights

A careful exploration of the pitfalls of trying to extract causal insights from modern predictive machine learning models.© Scott Lundberg / Ilkercelik — iStockA joint article about causality and interpretable...

4 Tools for Reproducible Jupyter Notebooks

How to add robustness to your notebook codePhoto by Kevin Ku on UnsplashJupyter notebooks have a somewhat poor reputation in the wider programming community. Joel Grus’ famous “I don’t like notebooks” talk,...

An Introduction to PyTorch Lightning

PyTorch lightning helps you scale code to multi-GPU training with no engineering effortWord on the street is that PyTorch lightning is a much better version of normal PyTorch. But what could it possibly have that it...

Classifying the PROTEINS Benchmark Dataset

Two ways to implement Graph Convolutional NetworksThis is part four in a series on graph theory and graph convolutional networks. The preceding articles are listed below.Photo by Nicolas Picard on UnsplashIf you’ve...

We Have to Stop Doing AI Emotion Recognition

ARTIFICIAL INTELLIGENCEWhat does it mean for the multi-billion-dollar industry?Photo by Sydney Sims on UnsplashEmotion recognition is a branch of artificial intelligence that aims at identifying emotion in human faces....

Police, Traffic Stops and Race. Inequality Through Data Science

Exploring the difference in inequity between two Californian metropolises through police traffic stoppage data.Credit to Andrey Pristinsky for help researching this project.Photo by Oliver Hale on UnsplashAt 1:30 pm,...

Advanced Project Ideas for Data Science Graduates/Enthusiasts to Ease Their Job Search

Data science is an immense field. It can go from placing salsa near chips in a local shop to Mars rover! I will share a few project ideas that will enable you to do more realistic projects best suited for the current...

7 Ways to Stay up-to-date as a Data Scientist

Fig.1 — Photo by Anncapictures on PixabayActionable advice to remain updated regardful of the news advancements in Artificial IntelligenceData Science: a world in constant evolutionBeing a Data Scientist in 2021...

5 Laws For Self-Taught Data Professionals

They Apply to Developers TooPhoto by Giammarco on UnsplashPeople who visit my LinkedIn profile are greeted with a sleazy summary detailing how I went from making my First-team debut in Professional Football (Soccer for...

Principal Components: Alex Engler on the Future of Policy for AI

The Brookings Institution research fellow and civic data scientist shares his expertise on policy and governance shaping the future of AI worldwide.Photo by Sebastian Pichler on UnsplashAlex Engler, research fellow at...

Full-text search with Node.js and ElasticSearch on Docker

Let’s build a real-world application based on Node.js, ElasticSearch, and DockerPhoto by Johny vino on UnsplashFull-text search can be both scary and exciting. Some popular databases such as MySql and Postgres are...

Combinatorial Optimization: The Knapsack Problem

Applying the dynamic programming techniques to an interesting optimization problemImage by AuthorIn this story, we are going to discuss an application of dynamic programming techniques to an optimization algorithm....

Python in Sublime Text 3 with Sublime REPL and Anaconda

A flexible, project-centered setupSwitch between projects with a keystroke and do not worry about switching build systems. Expedite your data science workflow with this project-centered setup.In this tutorial you will...

How to explain neural networks using SHAP

SHAP can help explain black-boxes models like neural networksImage by authorNeural networks are fascinating and very efficient tools for data scientists, but they have a very huge flaw: they are unexplainable black...

Metric Learning Tips & Tricks | Medium

How to train object matching model with no labeled data and use it in productionCurrently, most machine-learning-related business cases are solved as a classification problems. Classification algorithms are so well...

Demystifying Git references aka refs

The real workhorse enabling core Git operationsImage by author, made using diagrams.As a data scientist or a data engineer, working with Git is always a breeze when he/she is aware of all its core elements that are...