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Data Science and Databases

Showing 1-8 of 112 results

Optimizing Retailer Revenue with Sales Forecasting AI

by Ahmed Khaled

Retailers often face supply and demand issues that cause them to miss out on potential sales or tie up a lot of money in overstocked products. In this article, Toptal Data Scientist Ahmed Khaled explains how retailers can boost revenues and cut costs with sales forecasts backed by artificial intelligence.

9 minute readContinue Reading

Embeddings in Machine Learning: Making Complex Data Simple

by Yaroslav Kopotilov

Working with non-numerical data can be challenging, even for seasoned data scientists. To make good use of such data, it needs to be transformed. But how? In this article, Toptal Data Scientist Yaroslav Kopotilov will introduce you to embeddings and demonstrate how they can be used to visualize complex data and make it usable.

11 minute readContinue Reading

The Many Applications of Gradient Descent in TensorFlow

by Alan Reiner

TensorFlow is one of the leading tools for training deep learning models. Outside that space, it may seem intimidating and unnecessary, but it has many creative uses—like producing highly effective adversarial input for black-box AI systems.

18 minute readContinue Reading

Modern Web Scraping with Python and Selenium

by Neal Barnett

Web scraping has been around since the early days of the World Wide Web, but scraping modern sites that heavily rely on new technologies is anything but straightforward. In this article, Toptal Software Developer Neal Barnett demonstrates how you can use Python and Selenium to scrape sites that employ a lot of JavaScript, iframes, and certificates.

9 minute readContinue Reading

SQL Indexes Explained, Pt. 1

by Mirko Marović

Properly used, an SQL database index can be so effective that it might seem like magic. But the following series of exercises will show that underneath, the logic of most SQL indexes---and wielding them correctly---is quite straightforward.

8 minute readContinue Reading

Turn Chaos Into Profit: Understanding the ETL Process

by Alexandre Wanderer

ETL can consolidate data from various sources into an organized, reliable, and usable database. This allows businesses to employ previously unused or underused data to improve their performance. In this article, Toptal Data Modeling Developer Alexandre Wanderer demonstrates all stages of the ETL process in building a data warehouse.

8 minute readContinue Reading

Getting the Most Out of Pre-trained Models

by Nauman Mustafa

Pre-trained models are making waves in the deep learning world. Using massive pre-training datasets, these NLP models bring previously unheard-of feats of AI within the reach of app developers.

10 minute readContinue Reading

Sound Logic and Monotonic AI Models

by Emmanuel Tsukerman

For those working with AI, the future is certainly exciting. At the same time, there is a general sense that AI suffers from one pesky flaw: AI in its current state can be unpredictably unreliable.

12 minute readContinue Reading

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