Data preprocessing in machine learning refers to the transformation of unstructured, ambiguous, and error-filled data into a clean and coherent version that can be used for further processing and manipulation. Preprocessing filters out data issues early on in the pipeline so that only valuable data elements remain.
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Intend to render an immersive experience to your potential eBook readers but unable to make a choice between reflowable and fixed eBook layout? No worries! This blog throws light on the role of both fixed and reflowable eBook layouts in maximizing the reach to a large reading audience and helping you decide on a particular layout for your eBooks.
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Data cleansing outsourcing- hiring a third-party vendor to clean, upgrade, and maintain your database -is a cost-effective business strategy.
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Businesses are adopting AI technology to automate decision-making and benefit from new business opportunities. Data labeling enables machines to gain an accurate understanding of real-world conditions and opens up opportunities for a wide variety of businesses and industries. Grand View Research estimates data labeling services industry revenues to touch a staggering figure of USD 8.22 billion by 2028. be USD 316 million in 2018. They expect the industry to grow to USD 1.6 billion by 2025 and register a 256.6% CAGR throughout the 2021-2028 forecast period. According to PwCMcKinsey, AI has the potential to deliver additional global economic activity of around $15.73 trillion by 2030.
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The events that happened over the last couple of years took a serious toll on the healthcare sector. The covid-19 pandemic took the world by surprise, and hospitals around the world had to take all the load. While the lines were flooded with phone calls and messages, doctors and hospitals had to deal with a huge queue of patients, relatives, and help requests despite being devoid of vaccines, oxygen cylinders, and other healthcare equipment.
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If you run an eCommerce business, you must be well aware of constant changes happening since the second quarter of 2020. The coronavirus outbreak has left every business to shift towards online marketplace to enhance their product/service reach and gain maximum profit. Since some businesses have successfully recovered through the last two waves of Covid-19 waves, the rest are still struggling to get back in position. Moreover, the third wave is around the corner and there are a lot more uncertainties whether there should be a lockdown, new curbs, rules, etc.
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After a dull period that witnessed huge business losses due to the pandemic, many people are looking up to 2022 as the year of recovery. 2022 is the year where many businesses are going to stage a comeback or make an entry. If you want 2022 to be your year, you cannot rule out the importance of data. With the worldwide data analytics revenue expected to touch USD 274 Billion by 2022, the significance of business data doesn’t seize to amaze business experts anymore.
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eBay – one of the world’s largest eCommerce marketplaces – has around 2 Billion products listed on it. It is one of the most popular eCommerce websites in the US. With 100,000 sellers and around 200 Million users, the competition is intense. While the growing number of users makes eBay a viable marketplace for many sellers, staying on top of the game is of utmost essential to long-term success.
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Back in 2018, one of the largest online retailers measured its performance – during the holiday season – in buildings, mountains, and animals. Yes, that’s true; and we are talking about none other than Amazon.
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Product photos consume a lot more time and resources than you expect. Also, it is not always possible to get the perfect shot in one go. So, editing and retouching are usually done to make the photos all more professional, yet visually appealing. However, to cut down on the time spent on editing or retouching, a majority of companies prefer image retouching services to an offshore service provider to get the work done faster and more efficiently.
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