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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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A Complete Roadmap To Learn Data Structures and Algorithms (DSA)

Edureka

Introduction to Data Structures and Algorithms Data Structures and Algorithms are two of the most important coding concepts you need to learn if you want to build a bright career in Development. Topics to help you get started What are Data Structures and Algorithms?

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Making Wind Energy More Efficient With Data At Turbit Systems

Data Engineering Podcast

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

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Biases in Data Collection: Types and How to Avoid the Same

U-Next

In reality, computers, data, and algorithms are not entirely objective. Data analysis can indeed aid in better decision-making, yet bias can still creep in. It’s we, humans, that technologies and algorithms. What Does Bias Mean in Data Analytics? . Sampling and estimation are both prone to bias.

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Top Data Science Jobs for Freshers You Should Know

Knowledge Hut

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

AltexSoft

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

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What is Machine Learning and Why It Matters: Everything You Need to Know

Knowledge Hut

It is designed to make computers learn by themselves and perform operations without human intervention, when they are exposed to new data. Thus, the demand for machine learning programmers who have extensive knowledge on working with complex mathematical calculations and applying them to big data and AI is growing year after year.