interpretableml.ai

Evaluation du site interpretableml.ai

Home - SERG.ai

 Généré le 05 Février 2026 18:58

Vieilles statistiques? UPDATE !

Le score est de 53/100

Optimisation du contenu

Titre

Home - SERG.ai

Longueur : 14

Parfait, votre titre contient entre 10 et 70 caractères.

Description

The aspiration is to provide the often-missing link between data and decision-making, by identifying patterns & relationships, and formulating predictions.

Longueur : 155

Génial, votre balise META description contient entre 70 et 160 caractères.

Mots-clefs

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Propriétés Open Graph

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Propriété Contenu
locale en_US
type website
title Home - SERG.ai
description The aspiration is to provide the often-missing link between data and decision-making, by identifying patterns & relationships, and formulating predictions.
url https://www.serg.ai/
site_name SERG.ai
image https://www.serg.ai/wp-content/uploads/2019/11/drowsiness_1.png
image:width 592
image:height 560
image:type image/png

Niveaux de titre

H1 H2 H3 H4 H5 H6
1 9 20 163 19 0
  • [H1] Serg Masís
  • [H2] Serg Masís
  • [H2] Resume
  • [H2] Writing
  • [H2] ⭐⭐⭐⭐⭐
  • [H2] 🔥 pre-order now🔥
  • [H2] Speaking
  • [H2] Blog
  • [H2] Portfolio
  • [H2] Contact
  • [H3] What I Do
  • [H3] Affiliations
  • [H3] Experience
  • [H3] Education
  • [H3] Personal
  • [H3] Data Wrangling & Statistical Analysis
  • [H3] Machine Learning
  • [H3] Computer Vision
  • [H3] Data Visualization
  • [H3] Big Data & Distributed Systems
  • [H3] Web & Mobile Development
  • [H3] Computer Graphics
  • [H3] Project Management
  • [H3] Operating Systems & Server Config
  • [H3] Interpretable Machine Learning with Python—Oct. 2023
  • [H3] DIY AI: Step-By-Step Artificial Intelligence Projects for Makers and Hackers—May. 2026!
  • [H3] Building Responsible AI with Python: Learn to identify and mitigate bias with hands-on code examples—Dec. 2026!
  • [H3] Upcoming
  • [H3] Past Events
  • [H3] How Can I Help You?
  • [H4] Analytics & Visualization
  • [H4] Deployment & Evaluation
  • [H4] Predictive Modelling & Interpretation
  • [H4] Management, Writing & Speaking
  • [H4] Author
  • [H4] Climate & Agronomic Data Scientist
  • [H4] Data Scientist | Systems Analyst Fellow
  • [H4] Head of Product Development | Co-Founder
  • [H4] Webmaster
  • [H4] Mobile App Developer | Client-Side Architect
  • [H4] Product & Brand Developer | Founder
  • [H4] Project Manager | Online Marketing Consultant
  • [H4] Director of Web Development
  • [H4] C# Software Developer
  • [H4] 3D Modeling, Intern
  • [H4] Web Developer | Project Manager
  • [H4] Master’s in Data Science
  • [H4] BS in Computer Science Engineering
  • [H4] Languages
  • [H4] Additional Skills
  • [H4] Hobbies
  • [H4] Python (Pandas, Numpy, SciPy, StatsModel, NLTK, Gensim,...)
  • [H4] R (Tidyverse, Caret, purrr...)
  • [H4] SQL (most variations)
  • [H4] Excel (Pivot tables, vlookup, VBA)
  • [H4] Tableau Prep
  • [H4] TF/Keras
  • [H4] Scikit-learn
  • [H4] Interpretability (SHAP, LIME,...)
  • [H4] R (randomForest, lme4, glmnet,...)
  • [H4] PyTorch
  • [H4] XGBoost, Catboost, LightGBM
  • [H4] Tuning & Experimentation (Hyperopt, Weights & Biases..)
  • [H4] Distributed Training (Elephas, Horovod)
  • [H4] OpenCV
  • [H4] DLib
  • [H4] PIL
  • [H4] Python (Matplotlib, Seaborn)
  • [H4] R (Ggplot, Plotly, Leaflet)
  • [H4] Tableau Desktop
  • [H4] D3.js
  • [H4] MongoDB
  • [H4] Elasticsearch
  • [H4] Apache Spark
  • [H4] MapReduce
  • [H4] Neo4j
  • [H4] Hive
  • [H4] Pig
  • [H4] PHP
  • [H4] Flask
  • [H4] NodeJS
  • [H4] .NET
  • [H4] HTML + CSS + Javascript
  • [H4] jQuery
  • [H4] nginx
  • [H4] Java
  • [H4] Objective C
  • [H4] Swift
  • [H4] Adobe Photoshop
  • [H4] Adobe Illustrator
  • [H4] Adobe After Effects
  • [H4] Autodesk 3d Studio Max
  • [H4] Rhino 3D
  • [H4] Agile Methodologies
  • [H4] Team Leadership
  • [H4] Public Speaking
  • [H4] Git (also Github/Bitbucket)
  • [H4] Trello
  • [H4] Asana
  • [H4] MacOS (inc. Terminal)
  • [H4] Ubuntu / CentOS (inc. Command Line)
  • [H4] Windows
  • [H4] Shell Scripts (and Crontab)
  • [H4] Python Virtualenv
  • [H4] Docker
  • [H4] Build Stuff 2022 (Vilnius, Lithuania) 🇱🇹
  • [H4] Compass AI & Data Summit (Budapest, Hungary) 🇭🇺
  • [H4] AI Summer of Code 🇳🇬
  • [H4] Packt Machine Learning Summit 2025 🇬🇧
  • [H4] ODSC East 2025 10-year Anniversary (Boston, MA) 🇺🇸
  • [H4] Raleigh AI, Machine Learning, and Computer Vision Meetup (Chapel Hill, NC) 🇺🇸
  • [H4] AV DataHour 🇮🇳
  • [H4] DATAcated Events 🇺🇸
  • [H4] Data Day Texas (Austin, TX) 🇺🇸
  • [H4] Global AI Conference 2024 🇺🇸
  • [H4] Øredev 2024 (Malmö) 🇸🇪
  • [H4] ODSC West 2024 (San Francisco, CA) 🇺🇸
  • [H4] Data Makers Fest 2024 (Porto) 🇵🇹
  • [H4] Nebraska.Code() 2024 (Lincoln, NE) 🇺🇸
  • [H4] ON HIATUS
  • [H4] ODSC West 2023 (San Francisco, CA) 🇺🇸
  • [H4] MLOps World + Generative AI World Summit 2023 (Austin, TX) 🇺🇸
  • [H4] ML Conference Munich 2023 🇩🇪
  • [H4] Infoshare 2023 (Gdańsk) 🇵🇱
  • [H4] Data Innovation Summit 2023 (Stockholm) 🇸🇪
  • [H4] KMD Steam 2023 (Copenhagen) 🇩🇰
  • [H4] DeveloperWeek Europe 2023 🇪🇺
  • [H4] Semantic Layer Summit 2023 🇺🇸
  • [H4] Convergence 2023 🇺🇸
  • [H4] ML Berlin Hybrid Conference 2022 🇩🇪
  • [H4] Build Stuff 2022 (Vilnius, Lithuania) 🇱🇹
  • [H4] ODSC West 2022 (San Francisco, CA) 🇺🇸
  • [H4] Code PaLOUsa 2022 (Louisville, KY) 🇺🇸
  • [H4] ML Summit Munich 2022 🇩🇪
  • [H4] Geekle Data Science Global Summit 2022 🇺🇸🇪🇺
  • [H4] WeAreDevelopers World Congress 2022 🇩🇪
  • [H4] DTC Online Event 🇩🇪
  • [H4] Data Science Salon Virtual 🇺🇸
  • [H4] ODSC East 2022 (Boston, MA) 🇺🇸
  • [H4] WinHacks 2022 🇨🇦
  • [H4] AI Dev Conference @ DeveloperWeek 🇺🇸
  • [H4] SuperDataScience Podcast #539 🇺🇸
  • [H4] Live Sessions by Experts 🇧🇪
  • [H4] AI X Summit 2021 🇺🇸
  • [H4] Great North DevFest 2021 🇨🇦
  • [H4] WUR AI Workshop 2021 🇳🇱
  • [H4] Ai4 2021 Enterprise 🇺🇸
  • [H4] AIExpo 2021 🇺🇸
  • [H4] Global AI Conference 2021 🇺🇸
  • [H4] Strangeloop 2021 (St. Louis, MO) 🇺🇸
  • [H4] A.I. Startups San Francisco Meetup 🇺🇸
  • [H4] A.I. Access Series 🇯🇵🇺🇸
  • [H4] ML Summit Berlin 2021 🇩🇪
  • [H4] DataScienceGO Virtual April 2021 🇺🇸
  • [H4] Python for ML and AI Global Summit 2021 🇺🇸🇪🇺
  • [H4] Aggregate Intellect ML Interpretability Stream 🇨🇦
  • [H4] Machine Learning Prague 2021 🇨🇿
  • [H4] DSGO Connect February 2021 🇺🇸
  • [H4] PyData Chicago 🇺🇸
  • [H4] Open Data Science Conference West 2020 🇺🇸
  • [H4] Strangeloop 2019 (St. Louis, MO) 🇺🇸
  • [H4] 8th Light University 🇺🇸
  • [H4] The One-model-fits-all fallacy
  • [H4] How to “make it” in any field?
  • [H4] The Downward Spiral of Bias in Machine Learning
  • [H4] You are not alone!
  • [H4] With Great Power Comes Great Responsibility
  • [H4] Navigating the World of Data Science
  • [H4] Happy π Day!
  • [H4] Analog computing makes a comeback
  • [H4] Rate my setup…
  • [H4] Pathways to the Future of AI
  • [H4] Book Review: Causal Inference — The Mixtape
  • [H4] What frightens me the most
  • [H4] Fairness is often about consistent rules
  • [H4] Trust is mission-critical
  • [H4] Why does Interpretable Machine Learning matter?
  • [H4] Not All is Lost from My Biggest Failure
  • [H4] Opinion: Resource Constraints Foster Creative Solutions
  • [H4] Opinion: What Makes Us Care?
  • [H4] Smart Grid Short Term Load Forecasting with RNNs
  • [H4] Audio-Assisted Lip-Reading System Using LSTM Artificial Neural Network
  • [H4] Haiku Generation with the GPT-2 language model
  • [H4] Predicting 3D Printer Failure
  • [H4] 3D Scanning Via Photogrammetry with Automated Stage
  • [H4] Data Quality Assessment on a Data Warehouse and KPI Assessment on Its Users
  • [H4] Interpretable Personal Loan Default Predictions
  • [H4] Chicago Hospital Ranking System
  • [H4] Predicting Rugby 7s Positions with Match-Play Statistics
  • [H4] Estimating Driver Drowsiness & Distraction with Deep Learning & Computer Vision
  • [H4] A Regression-based Cross-Sectional Analysis of the Effects of Resources on Math Proficiency
  • [H4] Search Engine for Spontaneous and Serendipitous Decision Making
  • [H4] Online Poker Analytics
  • [H5] 20 years experience
  • [H5] 2020-
  • [H5] 2020-
  • [H5] 2019
  • [H5] 2015 - 2017
  • [H5] 2013 - 2016
  • [H5] 2011 - 2013
  • [H5] 2010-2013
  • [H5] 2009-2011
  • [H5] 2004-2009
  • [H5] 2002-2004
  • [H5] 2002, Winter
  • [H5] 2001-2003
  • [H5] 2019
  • [H5] 2009
  • [H5] 3 Exciting Books!
  • [H5] My ramblings, rants & raves
  • [H5] My Projects
  • [H5] Get in Touch

Images

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Ratio texte/HTML

Ratio : 11%

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Flash

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Tiret bas dans les URLs

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Liens dans la page

Nous avons trouvé un total de 118 lien(s) dont 0 lien(s) vers des fichiers

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Serg Masís Externe Passing Juice
Interpretable Machine Learning with Python Interne Passing Juice
DIY AI Interne Passing Juice
Amazon Externe Passing Juice
Best A.I. Books of All Time Externe Passing Juice
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interpretable machine learning Externe Passing Juice
responsible AI Externe Passing Juice
DIY AI Externe Passing Juice
Founder, Tideily & Director of Computer Vision Solutions, Levatas Externe Passing Juice
pre-order Externe Passing Juice
"Prompt Darwinism: Evolutionary Engineering in the Age of LLMs" Externe Passing Juice
"Hands-on Agentic AI with GraphRAG and MCP tools use" Externe Passing Juice
"AISOC Workshop: Scaling Machine Learning Reliability with Interpretability" Externe Passing Juice
"Interpretability by Design: Exploring Rule-Based Models in Machine Learning" Externe Passing Juice
"Harvesting Trust: How to Make Trustworthy Specialist Conversational AI Agents" Externe Passing Juice
"Agentic AI Design Patterns" Externe Passing Juice
"Mastering Agentic AI Design Patterns for Scalable Systems" Externe Passing Juice
"Let's talk about the AI AGENTS in the room" Externe Passing Juice
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"Harvesting Trust: A Case Study on Developing Dependable Specialist Chatbots" Externe Passing Juice
"Harvesting Trust: Methods for Validating Chatbots in Agriculture" Externe Passing Juice
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"Beyond Code: The Essential AI Skillsets for Development Teams" Externe Passing Juice
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"QA for ML: How we can trust AI with food sustainability" Externe Passing Juice
"QA for ML: How we can trust AI with food sustainability" Externe Passing Juice
"Beyond Code: The Essential AI Skillsets for Development Teams" Externe Passing Juice
"Facial Recognition from Scratch with Python and JS" Externe Passing Juice
"Quality Assurance (QA) in Machine Learning" Externe Passing Juice
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"Interpreting NLP Transformers" Externe Passing Juice
"Introduction to Explainable AI" Externe Passing Juice
"DIY AI: Facial Recognition from Scratch" Externe Passing Juice
"QA for AI systems" Externe Passing Juice
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"Come play with AI! The Importance of Play in Machine Learning" Externe Passing Juice
"QA for AI Systems" Externe Passing Juice
"Data & Analytics Governance Strategies for Driving Growth & Preventing Anarchy" Externe Passing Juice
"QA for AI Systems" Externe Passing Juice
"Making Machine Learning Models Attack-Proof with Adversarial Robustness" Externe Passing Juice
"Adventures in Puppy Training with A.I. and a Raspberry Pi" Externe Passing Juice
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"Enhance Trust with Machine Learning Model Error Analysis" Externe Passing Juice
"QA for AI systems" Externe Passing Juice
"Making Machine Learning Models Attack-Proof with Adversarial Robustness" Externe Passing Juice
"How XAI will quietly revolutionize AI" Externe Passing Juice
"The Data Science Journey: Myths and Tips" Externe Passing Juice
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"A.I. is NOT Software!" Externe Passing Juice
"Mitigating Bias with the XAI Toolbox" Externe Passing Juice
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"How XAI will quietly revolutionize AI" Externe Passing Juice
"Adversarial Robustness: How to make Artificial Intelligence models attack-proof!" Externe Passing Juice
"Starting your Data science Journey: Myths and Tips" Externe Passing Juice
"Making Machine Learning Models Attack-Proof with Adversarial Robustness" Externe Passing Juice
"Interpretable Machine Learning" Externe Passing Juice
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"Mitigating Bias with the XAI Toolbox" Externe Passing Juice
VIDEO Externe Passing Juice
"What do Planes and Machine Learning have in common? How Interpretable ML can improve decision-making" Externe Passing Juice
"XAI is the new AI" Externe Passing Juice
"Crop stage forecasting with Machine Learning and Causal Inference" Externe Passing Juice
"Interpretable Machine Learning for Model Tuning" Externe Passing Juice
"Path to Artificial General Intelligence" Externe Passing Juice
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"What do Planes and Machine Learning have in common? How Interpretable ML can improve decision-making" Externe Passing Juice
"Why AI Startups need Interpretable Machine Learning?" Externe Passing Juice
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"XAI: Learning Fairness with Interpretable Machine" Externe Passing Juice
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"Interpretable Multivariate Forecasting with Deep Learning" Externe Passing Juice
"Fairness with Interpretable Machine Learning" Externe Passing Juice
"The Importance of Interpretable Machine Learning" Externe Passing Juice
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"XAI with Monotonic Constraints & Interaction Constraints" Externe Passing Juice
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"Ensuring Machine Learning Fairness with Monotonic Constraints" Externe Passing Juice
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"Interpretable Machine Learning with Python — What qualities make for a highly rated chocolate bar?" Externe Passing Juice
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"Interpretable Machine Learning with Python: Interpreting & Improving Fairness for Recidivism Risk Assessments" Externe Passing Juice
"Assistive Augmentation: Lip Reading with AI" Externe Passing Juice
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"Assistive Augmentation: Lip Reading with AI" Externe Passing Juice
Editorial Externe Passing Juice
Personal Externe Passing Juice
My Book Externe Passing Juice
A.I. Research Externe Passing Juice
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Mots-clefs

Nuage de mots-clefs

workshop machine odsc models video talk summit learning data interpretable

Cohérence des mots-clefs

Mot-clef Contenu Titre Mots-clefs Description Niveaux de titre
learning 41
machine 33
talk 32
video 20
data 18

Ergonomie

Url

Domaine : interpretableml.ai

Longueur : 18

Favicon

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Imprimabilité

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Langue

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Dublin Core

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Document

Doctype

HTML 5

Encodage

Parfait. Votre charset est UTF-8.

Validité W3C

Erreurs : 0

Avertissements : 0

E-mail confidentialité

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Astuces vitesse

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https://www.serg.ai/

Robots.txt

https://interpretableml.ai/robots.txt

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