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Optimizing Portfolios with the Mean Variance Method in Python

Analytics Vidhya

Introduction While investing in equity markets (stock markets), we often diversify our investments in different stocks to maximize our returns. When investing in multiple stocks, determining the optimal allocation of funds to each stock to minimize risk and maximize returns can be challenging.

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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. If you’re an AI product manager (or about to become one), that’s what you’re signing up for.

Marketing 363
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Managing risk in machine learning

O'Reilly on Data

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Data collection and data markets in the age of privacy and machine learning”. Culture and organization.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

In this article, we have gathered the 12 most prominent challenges of cloud computing that will deliver fresh perspectives related to the market. More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. Cost management and containment.

Risk 237
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in.

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Data Mining Technology Helps Online Brands Optimize Their Branding

Smart Data Collective

By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. Predicting Customer Churn Data mining can be used to predict which customers are at risk of leaving a brand.

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5 Ways Data Analytics Helps Investors Maximize Stock Market Returns

Smart Data Collective

One of the most significant changes has been in the field of stock market investing. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. The stock market is the preferred choice of millions of Americans when it comes to building wealth.

Marketing 145