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The Basecamp for your Ascent in Machine Learning

In this blog, you will find all the topics to help you master the expedition into the world of Artificial Intelligence.

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Python

Basics of handling data and AI algorithms in Python.

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Statistics

Statistical models, rules, or methods that are used in
Artificial Intelligence is applied.

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Data

Everything about data acquisition, data processing, and data storage.

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Machine Learning

The core: understand algorithms, create your own models and get results

LAST ARTICLES

Federated Learning

What is Federated Learning?

Elevate machine learning with Federated Learning. Collaborate, secure, and innovate while preserving privacy.

Python Loops

What are Python Loops?

Master Python loops: Learn `for` and `while` iterations, control statements, and practical uses in this comprehensive guide.

Bias

What is a Bias?

Unveiling Bias: Exploring its Impact and Mitigating Measures. Understand, recognize, and address bias in this insightful guide.

Adagrad

What is Adagrad?

Discover Adagrad: The Adaptive Gradient Descent for efficient machine learning optimization. Unleash the power of dynamic learning rates!

Varianz / Variance

What is the Variance?

Explore variance's role in statistics and data analysis. Understand how it measures data dispersion.

Line Search

What is the Line Search?

Discover Line Search: Optimize Algorithms. Learn techniques and applications. Improve model convergence in machine learning.

Text Mining and NLP

If you are interested in a beginner course for text mining in Python, check out our Udemy courses.

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USE CASES

In this section you will find concrete Python examples and how they solve real problems.

ML – BLOG

Latest papers, topics and everything else that is important in the world of Artificial Intelligence.

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