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Tag: Machine Learning
In Machine Learning, there occurs a process of analyzing data for building or training models. It is just everywhere; from Amazon product recommendations to self-driven cars, it beholds great value throughout. As per the latest research, the global machine learning market is expected to grow by 43% by 2024. This revolution has enhanced the demand … Continue reading 7 Major Challenges Faced By Machine Learning Professionals
Data-centric artificial intelligence (DCAI) is a new approach to machine learning that relies on the data scientist to define the entire pipeline from data cleansing and ingestion through model training. In this approach, there is no need for deep knowledge about AI algorithms; rather, it’s all about the data. The idea behind DCAI is very … Continue reading What is Data-Centric AI All About and Why Is It Important?
Enhancing data quality using machine learning Regardless of how accurate a data system you design, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the … Continue reading Machine Learning-Based Data Quality — Next Frontier for Data Management
Do you aspire to be a data scientist? It can be intimidating if you have decided to be one. From Google to Facebook, every company today wants to join the race in machine learning and data science. And there is no denying that data science is indeed one of the fastest-growing fields in technology. The … Continue reading Things you must know before you start working as a Data Scientist
One of the most important processes is the 3D cuboid image annotation approach, which aids robots in recognizing all three dimensions of things. This image annotation method is used to recognize objects in more detail, which aids in the training of the 3D visual perception model. It entails using high-quality labeling and a marking approach … Continue reading Importance of cuboid annotation in real-life scenarios
Big Data: It is huge, large or voluminous data, information, or the relevant statistics acquired by the large organizations and ventures. Many software and data storage created and prepared as it is difficult to compute the big data manually. It is used to discover patterns and trends and make decisions related to human behavior and … Continue reading Difference between Big Data and Machine Learning
Brands have long used social media to increase customer loyalty, engagement, create leads, improve sales, develop reputation and grow their businesses. With the growth in societal challenges and instigators (or trolls, harassers, activists, and sophisticated bad actors) this already complex landscape has witnessed a spike in damaging and toxic content, possibly producing a disaster for … Continue reading Social Media Content Moderation: A crucial tool to protect brand’s image
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