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# Tag: Machine Learning
17.06.2024.

Ivanka Vranješ: How AI Is Disrupting Our Industry, and What We Can Do About It

In this interview, Ivanka delves into her career progression, the unique strengths of Serengeti, and the transformative impact of artificial intelligence on the software development industry. She shares valuable insights on overcoming challenges, preparing for an AI-enhanced future, and the ethical considerations involved. Ivanka also highlights key traits that have been instrumental to her success and provides practical advice for navigating the disruptive influence of AI in the IT sector.
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07.12.2022.

Natural Language Processing (NLP) Use Cases

Natural Language Processing (NLP) is a type of AI that focuses on recognizing, comprehending, and using human languages. It is one of the most intriguing disciplines in AI, having already led to the emergence of technology such as chatbots, voice assistants, translators, and a plethora of other tools we use daily. Every second, channels such as social media, in-app communications, and forums generate a tremendous volume of text data. And, due to the massive amounts of text data and the extremely unstructured source of data, we can no longer utilize the traditional technique to understanding the text, which is where NLP comes in.
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11.11.2022.

7 Artificial Intelligence and Machine Learning Trends

Artificial intelligence and machine learning have become very popular. This technology provides companies with insight into trends in customer behavior and company business patterns, as well as assistance in developing new products. Some of the largest companies, such as Google and Facebook, use machine learning in the basics of their operations. The COVID-19 pandemic has prompted new applications and technological improvements in the industry. It has accelerated AI adoption in fields such as healthcare, where AI-based technology and applications are widely used.
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28.06.2022.

Computer Vision - Face Detection

Detecting the human face is a difficult problem that is faced by experts in the computer vision field. The main reason is because the human face is a dynamic object in which there is a high degree of variability as every face is different.
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02.05.2022.

Catch us if you can: Serengeti's Live meetup at Think Innovative Hub

In his presentation named „Machine learning in the Python world”, Boško will talk about his experience working in the field of machine learning and will mainly discuss Facial expression recognition, eye tracking and other machine learning applications. He will also go over the fundamental steps in programming machine learning in Python and the different field of machine learning.
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01.02.2022.

TensorFlow.js – Machine Learning for JavaScript Developers – Part I

Through a series of articles, I will try to introduce you (primarily JavaScript developers) to the world of machine learning (ML). In the first part, I will talk in general about machine learning, the TensorFlow.js library, and the benefits of using it.
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10.12.2021.

AI in Finance – Use Cases and Challenges

BFSI is one of the industries where AI/ML is causing significant upheavals in 2021 and beyond. Despite the pandemic, interest in AI and ML implementation has been resilient. According to a survey conducted by the Bank of England, around 40% of respondents said that the relevance of machine learning for future operations has increased, with 10% of institutions on a significant rise. The relevance of machine learning has not decreased at any of the banks. The financial sector is heavily utilizing artificial intelligence and machine learning to automate and simplify processes.
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30.09.2021.

Machine Learning meets GDPR

Machine Learning algorithms are based on large amounts of data that need to be processed for the algorithm to learn. GDPR requires companies to comply with regulations that will secure consumer data. But questions have been raised about how this regulation will address automation in analytics as the AI and machine learning market grows. GDPR outlines six data protection principles, and according to Norwegian Data Protection Authority, AI is facing four of them.
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23.07.2021.

3 Things to Consider Before Implementing Machine Learning

There are many reasons why companies integrate Machine Learning into their fundamental activities. But before you decide to transform your business with Machine Learning, you should take a couple of things into consideration to check whether your company is ready for new technology adoption.
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09.09.2020.

The Importance of Data in Machine Learning

Data is everything with a little bit of modeling on the side. So, let’s focus on a couple of key points of what kind of data is important, how much data you need, and how you can handle all this data.
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