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Which race to predict next? #premierleague

I didn’t come from a technical background. No coding, no deep math. But little by little, these are the steps that helped me break into Data Science & Machine Learning ⬇️ 1. Start small with Python → I focused on the very basics first (loops, functions, simple algorithms). 2. Build up the math slowly →... See more

A quick guide about to choose hyperparameters of Machine Learning algorithms. #ai #machinelearning #algorithms #engineer

Привет, я Настя! Карьерный ментор для IT и Digital номадов в Европе. LinkedIn — это ключевой инструмент для поиска работы на международном рынке. Как его можно усилить? 1. Featured — это дополнительный рекламный баннер о вас на вашей же странице. Здесь можно закрепить от 1 до 3 сущностей. Можете добавить своё CV,... See more

Would it be helpful to link to a GitHub for you to try it out?

this is to my engineering transfer, hackathon lovers, or anyone pursuing anything out of their comfort zone!! i was a finance major with no tech background last year, and this year has not been easy, but yay reel time. how i gyatt 15 hack wins and 3.5+ gpa in engineering: 1. Planned ahead:... See more

Follow for more @unfoldedai Let’s say we have a dataset with 2 classes. If our data is not linearly separable, a simple linear model like logistic regression or a linear SVM will struggle to find an accurate decision boundary. However, neural networks provide a powerful alternative by... See more

If I were learning Data Science from scratch in 2025, here’s what I would learn first: 1️⃣ SQL – Learn how to query, filter, aggregate, and join data from relational databases. Mastering SQL helps you answer business questions quickly and lays the foundation for all other data work. 2️⃣... See more

In transformer neural networks, the softmax activation function turns matrices of data into a probability distribution that shows us the maximum values of the dataset. The “temperature” parameter (T) can be applied to this function to adjust how uniformly the model should choose between high and low scores. A low... See more