The Base Camp 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.
Basics of handling data and AI algorithms in Python.
Statistical models, rules, or methods that are used in
Artificial Intelligence is applied.
Everything about data acquisition, data processing, and data storage.
The core: understand algorithms, create your own models and get results
What is a localhost (127.0.0.1)?
Explanation of the localhost and its applications.
What is Business Intelligence?
Explanation of Business Intelligence and listing of BI tools.
What is the Standard Deviation?
Explanation of the standard deviation and the relationship to the variance.
ResNet: Residual Neural Networks -easily explained!
Explanation of a residual neural network with example in TensorFlow.
What is the Curse of Dimensionality?
Explanation of the Curse of Dimensionality and its problems.
What is the Selection Bias?
Explanation of selection bias with examples.
What is OneDrive?
Explanation of OneDrive and the cost structure.
tSNE: t-distributed stochastic neighbor embedding
Explanation of tSNE including example in Python.
What is Batch Normalization?
Explanation of Batch Normalization and its advantages.
What is XGBoost?
Explanation of the XGBoost library including the gradient boosting method.
What does a DevOps Engineer do?
Explanation of tasks and training of a DevOps Engineer.
What is Continuous Integration?
Explanation of Continuous Integration with advantages and disadvantages.
What is Git?
Introduction to Git and useful terms
What is Apache Airflow?
Apache Airflow explained with architecture and application examples.
What is a Repository?
Explanation of different types of code repositories.
What is Apache Kafka?
Structure of Apache Kafka explained with possible fields of application.
What is Bitbucket?
Introduction to Bitbucket, its features and pricing model.
What is an Algorithm?
Explanation of Algorithms with examples and reference to Machine Learning.
What is the Star Schema?
Description of the star scheme compared to the snowflake scheme.
What is Apache Spark?
Explanation of Apache Spark with a comparison to Hadoop.
What is a Database Schema?
Explanation of database schemas by example.
What is DevOps?
Explanation of DevOps with benefits and possible tools.
What does On-Premises mean?
Explanation of On-Premises versus Cloud.
What is a Perceptron?
Explanation of perceptrons with example and how neural networks arise from them.
What is a Cloud?
Explanation of cloud types and different service models.
Text Mining and NLP
If you are interested in a beginner course for text mining in Python, check out our Udemy courses.
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.