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Tag: Machine Learning

Reading Time: 4 minutes

If you have not yet been introduced to Machine Learning, TensorFlow is Google's open-source, Machine Learning (ML) platform that aims to simplify developing ML models. It is a symbolic math toolbox that performs several tasks, such as deep neural network training and inference using dataflow and differentiable programming.

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What is Keras?

Keras is a tool for machine learning specialists who work with Python, mostly used due to the convenience of mathematical calculations. Developers use Keras to create, configure, and test machine learning and artificial intelligence systems, primarily neural networks.

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Data analysis via machine learning is becoming increasingly important in the modern world. PyTorch is a machine learning Python library, developed by the Facebook AI Research (FAIR) group, that acts as a high-level interface for developers to create applications like natural language processors. In this tutorial, you are going to learn how to install PyTorch via Anaconda and PIP.

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Reading Time: 9 minutes

What is a For Loop?

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A for loop in Python is utilized to make repeated use of a function or procedure, applying it each time to the result of the previous sequence. This repeating process is called iteration. The for loop checks each iteration until a condition is met. Typically these are used when we have to run a block of code duplicating it X number of times. Each time it iterates over a sequence, it re-executes the code.

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Reading Time: 7 minutes
python functions

What is a Python Function? 

In this tutorial, we discuss one of the most useful attributes of Python: the function. Python functions are considered “First Class” objects. A First Class object can be assigned to variables, stored in data structures, passed as arguments to other functions, or even return values from other functions. Other examples of First Class objects in Python are integers, strings, and dictionaries.

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What is Apache Spark?

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Apache Spark is a distributed open-source, general-purpose framework for clustered computing. It is designed with computational speed in mind, from machine learning to stream processing to complex SQL queries. It can easily process and distribute work on large datasets across multiple computers.

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What is Jupyter Notebook?

Jupyter Notebook is an extremely powerful open-source, web-based tool that facilitates the creation of documentation. There are many different avenues to provide technical documentation or demonstrations, but Jupyter Notebook makes it possible to embed visualizations and execute live code. It is useful to be able to utilize documentation to describe development concepts or planning, but providing working examples within documentation can be a more effective way of conveying information. This tutorial will cover how to install Jupyter Notebook on an Ubuntu 18.04 LTS server and connect to it remotely via an SSH tunnel.

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