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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. The discipline is a key facet of the business analyst role. Business analytics techniques.

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

An example of a cold start problem is k -Means Clustering, where the number of clusters k in the data set is not known in advance, and the locations of those clusters in feature space ( i.e., the cluster means) are not known either. What data do we have? Which combinations of data have we not explored yet?

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Originally published in 2018, the book has a second edition that was released in January of 2022. The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON.

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eCommerce Companies Use AI to Ensure their Sites Are ADA Compliant

Smart Data Collective

One of the overlooked benefits of AI in website optimization pertains to ADA compliance. between Q1 of 2017 and Q1 of 2018. You will be able to use AI to learn more about different groups by data mining public records and tailoring your message to them. Morris reports that the number of ADA lawsuits increased 51.7%

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Protecting Your Cryptocurrency Wllets with Machine Learning

Smart Data Collective

In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum. Most importantly, AI can help optimize cybersecurity apps to help stop hackers. They examined Ethereum’s smart contracts and used eXtreme Gradient Boosting (XGBoost) to build detection models. How Do Crypto Wallets Work?

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Data Scientist’s Dilemma – The Cold Start Problem

Rocket-Powered Data Science

If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data. This challenge is known as the cold-start problem ! In those intermediate steps it serves as an evaluation (or validation) metric.