Open in app

Sign In

Write

Sign In

⭐Axel Thevenot
⭐Axel Thevenot

718 Followers

Home

About

Published in Google Cloud - Community

·Pinned

BigQuery WINDOW Functions | Advanced Techniques for Data Professionals

A complete guide for maximizing the potential of BigQuery window functions to manipulate and transform data. — BigQuery is a fully managed data warehouse that uses Google’s infrastructure that allows fast processing of SQL queries. It is especially useful for analyzing, exploring, and visualizing large amounts of data. This article simplifies and helps to visualize the concepts of windows in Google Cloud for non-developers, as they can…

Data

13 min read

BigQuery WINDOW Functions | Advanced Techniques for Data Professionals
BigQuery WINDOW Functions | Advanced Techniques for Data Professionals
Data

13 min read


Published in Google Cloud - Community

·Pinned

Deduplication in BigQuery Tables: A Comparative Study of 7 Approaches

Analyzing and comparing 7 ways of deduplicating rows in a BigQuery table. — TL;DR: Use the QUALIFY clause and go to the conclusion. In this short article, we will dive into some of the different ways to deduplicate rows in a BigQuery table. Summary Introduction Replicability Method 1: Deleting rows in-place Method 2: Selecting distinct Method 3: Grouping by all keys Technical or functional deduplication? Method 4: Grouping by primary…

Data

13 min read

Deduplication in BigQuery Tables: A Comparative Study of 7 Approaches
Deduplication in BigQuery Tables: A Comparative Study of 7 Approaches
Data

13 min read


Published in Towards Data Science

·Pinned

12 Main Dropout Methods: Mathematical and Visual Explanation for DNNs, CNNs, and RNNs

Deep Dive into DNNs, CNNs, and RNNs Dropout Methods for Regularization, Monte Carlo Uncertainty, and Model Compression — Motivations One of the major challenges when training a model in (Deep) Machine Learning is co-adaptation. This means that the neurons are very dependent on each other. They influence each other considerably and are not independent enough regarding their inputs. It is also common to find cases where some neurons have…

Deep Learning

13 min read

12 Main Dropout Methods : Mathematical and Visual Explanation
12 Main Dropout Methods : Mathematical and Visual Explanation
Deep Learning

13 min read


Published in Towards Data Science

·Pinned

Particle Swarm Optimization (PSO) Visually Explained

Learn PSO algorithm as a bedtime story with GIFs and python code — Introduction Particle swarm optimization (PSO) has been successfully applied in many research and application areas. For my part, I really enjoyed the application of this algorithm in the article by G. Sermpinis [1] on foreign exchange rate forecasting. It is demonstrated that PSO can have better results in a…

Machine Learning

12 min read

Particle Swarm Optimization Visually Explained
Particle Swarm Optimization Visually Explained
Machine Learning

12 min read


Published in Towards Data Science

·Pinned

Conv2d: Finally Understand What Happens in the Forward Pass

A visual and mathematical explanation of the 2D convolution layer and its arguments — Introduction Deep Learning’s libraries and platforms such as Tensorflow, Keras, Pytorch, Caffe or Theano help us in our daily lives so that every day new applications make us think “Wow!”. We all have our favorite framework, but what they all have in common is that they make things easy for us…

Deep Learning

9 min read

Conv2d: Finally Understand What Happens in the Forward Pass
Conv2d: Finally Understand What Happens in the Forward Pass
Deep Learning

9 min read


Published in The Writing Cooperative

·Feb 10, 2022

Achieving Your First Technical Blog Article

You are not a writer and you are confused about how to start writing an article that is meaningful to you? My method should help you to write your first awesome article. — I love my work, but most of all, I love when I am able to share it. I suppose you are just like me. But each time I start an article, I have no idea where to start, I am afraid of not being legitimate to talk about a subject…

Writing

8 min read

Achieving Your First (Technical) Blog Article
Achieving Your First (Technical) Blog Article
Writing

8 min read


Published in Towards Data Science

·Jan 21, 2022

Deploy Cloud Functions on GCP with Terraform

In this tutorial you are going to deploy a simple Cloud Function triggered by a Cloud Storage event with Terraform — Cloud Functions are scalable “pay-as-you-go” Functions as a Service (FaaS) from Google Cloud Platform (GCP) to run your code with zero server management. Cloud Functions can be written in Node.js, Python, Go, Java, .NET, Ruby, and PHP programming languages. For the sake of readability, this tutorial will contain a Cloud…

Google Cloud Platform

5 min read

Deploy Cloud Functions on GCP with Terraform
Deploy Cloud Functions on GCP with Terraform
Google Cloud Platform

5 min read


Published in Towards Data Science

·Dec 31, 2020

Optimization & Eye Pleasure: 78 Benchmark Test Functions for Single Objective Optimization

Visualization, description and python GitHub of benchmark optimization functions. — Motivations If you only are here for eye pleasure you can go to the Benchmark part. 😜 I was looking for a benchmark of test functions to challenge a single objective optimization. I found two great websites with MATLAB and R implementations you can find on the sources. Yet I wanted…

Artificial Intelligence

10 min read

Optimization & Eye Pleasure: 78 Benchmark Test Functions for Single Objective Optimization
Optimization & Eye Pleasure: 78 Benchmark Test Functions for Single Objective Optimization
Artificial Intelligence

10 min read


Published in Towards Data Science

·Jun 8, 2020

Image Augmentation Mastering: 15+ Techniques and Useful Functions with Python Codes

Smooth python codes to augment your image datasets by yourself. — Whether we are enjoying Keras or Pytorch we have access to wonderful libraries to efficiently enhance our images. But what about those special cases where: Our dataset does not have a trivial structure (3 input images and 1–2 segmented outputs as an example). We want total freedom and transparency in…

Artificial Intelligence

10 min read

Image Augmentation Mastering: 15+ Techniques and Useful Functions with Python Codes
Image Augmentation Mastering: 15+ Techniques and Useful Functions with Python Codes
Artificial Intelligence

10 min read


Published in Towards Data Science

·May 28, 2020

Overfitting and Underfitting: Visually Explained Like You’re Five

Everything we need to know about Detection and Prevention of Overfitting and Underfitting in Machine Learning and Deep Learning — Every week, a bunch of flowers grows in my garden. You can think of it as a dataset. It was a good way to playfully introduce my child to complex concepts. In this article we will highlight through this flowery garden: the importance of understanding your dataset. overfitting and underfitting

Artificial Intelligence

8 min read

Overfitting and Underfitting: Visually Explained Like You’re Five
Overfitting and Underfitting: Visually Explained Like You’re Five
Artificial Intelligence

8 min read

⭐Axel Thevenot

⭐Axel Thevenot

718 Followers

Data Engineer | www.linkedin.com/in/axel-thevenot axel.arcueil@gmail.com

Following
  • guillaume blaquiere

    guillaume blaquiere

  • Joshua Otwell

    Joshua Otwell

  • Stephen Cow Chau

    Stephen Cow Chau

  • Romin Irani

    Romin Irani

  • Aurélien Roblin

    Aurélien Roblin

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech