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Content-Based Recommender Systems in TensorFlow and BERT Embeddings
This tutorial will show you how to build content-based recommender systems in TensorFlow from scratch. For this example, we will
How to Build Python Packages
In this tutorial, we will show you how to build Python Packages. Our goal is to build a Python package
File Archiving and Compression Commands on Linux
In this tutorial, we will show you how to archive and compress files on Linux. Archives are a collection of
Arrays in Bash
This tutorial is a brief introduction to arrays in bash. Data Scientists are familiar with arrays, in R, a simple
Uncovering Customer Purchasing Patterns with Market Basket Analysis: A Python-Based Tutorial for Shopify
Market basket analysis is important for an e-shop because it can provide insights into customer purchasing behavior and help identify
API Performance Testing Using Jmeter
There are several reasons why API performance testing is important in data science. Speed: API performance is critical in many
How to Redact NER using SpaCy and Python UDF in Snowflake
In a previous tutorial, we showed you how to get started with Python UDFs in Python. In this tutorial, we
Get Started with Python UDFs in Snowflake
Finally, Snowflake supports UDF (user-define functions) in Python. Thank you Snowflake! Apart from Python, we can write UDFs in Java,
How to Redirect and Save Errors in Unix
In Unix, there are three types of redirection such as: Standard Input (stdin) that is denoted by 0. Usually, it’s
Content-Based Recommender Systems with TensorFlow Recommenders
In this post, we will consider as a reference point the “Building deep retrieval models” tutorial from TensorFlow and we
Get Started with Hugging Face Auto Train
Hugging Face has launched the auto train, which is a new way to automatically train, evaluate and deploy state-of-the-art Machine
Get Started with TensorFlow Recommenders and Matrix Factorization
In this post, we will work with the TensorFlow tutorial where we will try to go deeper by showing: How
Mastering Sentence Transformers For Sentence Similarity
Sentence transformers is a Python framework for state-of-the-art vector representations of sentences. Having the sentences in space we can compute
How to Read and Write Files in Python
Most Data Scientists use Pandas for reading files, provided that the data are structured. In this tutorial, we will work
How To Manage Multiple Screen Sessions
Linux’s Screen lets you run terminal applications to a Server in the background even if you disconnect from the ssh connection.
Exceptions in Python
In this tutorial, we will provide you with an example of exception handling in Python. For simplicity, we will work
HTTP Status Codes
The first digit of an HTTP status code indicates the category of the response: Information, Successful, Redirection, Client Error or
How To Add Filters For Querying Databases In Streamlit
In this tutorial, we will show you how you can use filters for databases in Streamlit. We will use PostgresSQL
How to Fine-Tune an NLP Regression Model with Transformers and HuggingFace
HuggingFace provides us with state-of-the-art pre-trained models that can be used in many different applications. In this post, we will
How to Build an NLP Classification Model with Transformers on AWS SageMaker
In a previous tutorial, we have provided you with an example of how to fine-tune an NLP classification model with
How to Fine-Tune an NLP Classification Model with Transformers and HuggingFace
This tutorial is an ultimate guide on how to train your custom NLP classification model with transformers, starting with a
