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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Price Forecasting: Applying Machine Learning Approaches to Electricity, Flights, Hotels, Real Estate, and Stock Pricing

Altexsoft

Predictive analytics requires numerous statistical techniques, such as data mining (identification of patterns in data) and machine learning. The goal of machine learning is to build systems capable of finding patterns in data, learning from it without human intervention and explicit reprogramming.

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Hotelbeds API Integration: Hands-on Experience with a Leading Bed Bank

Altexsoft

OTAs, hotel booking platforms , and other travel businesses need to have real-time access to extensive hotel inventories to offer diverse choices to their customers. With the strategic acquisition of Tourico Holidays and GTA wholesalers, Hotelbeds expanded its portfolio to encompass over 300,000 hotels across 200 destination countries.

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Predictive Analytics Benefits For 2020’s Healthcare Apps

Xicom

The Landscape – “Predictive Analytics” This landscape of statistics deals with the use of machine learning algorithms and data, predicting the probability of future outcomes based on past data. Besides, police can also use algorithms to predict when and where the crime will happen.

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After a record year for Israeli startups, 16 investors tell us what’s next

TechCrunch

A great amount of talent is cultivated in the military, which has spawned innovative cyber, AI and machine-learning companies. That said, it is 100% oversaturated, and there are too many examples of strong technical founders creating “yet another” SaaS security startup. (2)