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Clean Harbors’ CIO: Hybrid approach to the cloud is a win-win

CIO Business Intelligence

Our strategy in taking a hybrid approach has provided the agility we need to do advanced services in the cloud as we go through our digital transformation,” says Gabriel, who joined the company in 2001 and was promoted to executive vice president and CIO of Clean Harbors in 2018. “Our Cautious, methodical approach to the cloud.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for There are models everywhere. In other words, #adulting.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent. the curse of dimensionality). These spaces are larger than $cal{F}_textrm{logistic}$ above.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

What are the projected risks for companies that fall behind for internal training in data science? Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US. In business terms, why does this matter ? NASA persistently misspells Jupyter.

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Reporting Requirements for Consolidated Financial Statements

Jet Global

Financial consolidation can play an important role in your organization’s corporate performance strategy. The company’s bankruptcy in 2001 and resulting congressional hearings in 2002 hastened the creation of a new consolidation framework in the form of FIN 46(R), introduced by the FASB in 2003.

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Top 15 project management certifications

CIO Business Intelligence

The certification focuses on managing, budgeting, and determining scope for multiple projects, multiple project teams, and assessing and mitigating interdependent risks to deliver projects successfully. 11, 2001, terrorist attacks to address issues of cyberterrorism and the information security of nations at large. Price: $280.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. propose a different strategy where the minority class is over-sampled by generating synthetic examples. The class imbalance problem: Significance and strategies. In their 2002 paper Chawla et al.