Building the future at ulife.ai
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Top 5 Machine Learning models with pros and cons
There are many machine learning models, but some of the most common ones include: Linear regression Linear regression is a simple and widely used statistical method for modelling the relationship between a dependent variable and one or more independent variables. In a linear regression model, the dependent variable is continuous, meaning it can take on…
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Why you should not worry about large language models like GPT-3
OpenAI released a product recently called ChatGPT. It became viral instantaneously, and people started wondering how far AI could go because it could generate excellent output and answer questions thoughtfully. But if we take a deep look inside the black box, you will see that, for the moment; they are not what you may think…
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Top 5 JSON placeholder alternatives for your next API
JSON placeholder is a fake online REST API for testing and prototyping. It is designed to provide developers with dummy data that can be used for testing and debugging purposes. JSON placeholder provides various data types and formats, including numbers, strings, arrays, and objects, that can be used to simulate real-world data. JSON placeholder is…
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The future of education: Artificial education and augmented reality
Introduction The importance of education in shaping the future Education is crucial for shaping our future. It is the foundation for personal, social, and economic growth and development. Through education, individuals gain the knowledge, skills, and values necessary to mark their personalities and become full members of society. Education provides individuals with the tools they…
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How you should build your portfolio as a data scientist?
As a data scientist, having a portfolio is one of the most important things you should do. That is necessary for you to showcase your talent and skills. But is sometimes neglected by new data scientists. Here we will discuss the main reason you should invest in a portfolio and how you should set up…
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Distributed file systems: Everything you need to know about it
Module name: Distributed Storage (DFS – Distributed file systems, Database) The last module start here: https://ulife.ai/stories/everything-you-need-to-know-about-threading-with-python Big is not just about computation. If we want to compute a huge amount of data, we need to find a way to store them so they can be easily accessible. And for that reason, we have many solutions…
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Introduction to Privacy in machine learning
When we hear about data, privacy is always around (no Joke). And all data scientists have heard data at least 10000 times. So privacy is a concept they have to be aware of when working with publicly collected or available data as well as privately undisclosed data. Introduction In this story, I will introduce some…
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How to measure privacy in data science.
When collecting, publishing or working with user-related data, the notion of privacy is really important. And data scientists always work with users’ data. So quantifiable measures of privacy enable us to assess, compare, improve and optimize privacy-enhancing mechanisms. In this domain, we do not really have a set of conditions that defined what privacy metrics…
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What people do not tell you about data science jobs
Despite the fact that many people today advocate the good side of the profession of data scientist/data analyst, there are plenty of other parts of this profession that many do not tell you and that you should know before you start in this profession, it is very important to know all the aspects in fact…
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The reason why GPUs are better at machine learning than CPUs
In the previous chapters, we have presented some aspects of parallel computing. In this section, we will get into the last aspect of this module by talking about GPU. We will explain why GPUs are far better than CPUs for parallel computing and consequently for big data tasks. We will also present Cuda in the…
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