interpretableml.ai

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Home - SERG.ai

 Generiert am 05 Februar 2026 18:58 PM

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Seitentitel

Home - SERG.ai

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Seitenbeschreibung

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

Länge : 155

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Eigenschaft Inhalt
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

Überschriften

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

Bilder

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In-page links

We found a total of 118 links including 0 link(s) to files

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

Suchbegriffswolke

interpretable workshop talk data learning models video summit odsc machine

Keywords Consistency

Suchbegriff Inhalt Seitentitel Suchbegriffe Seitenbeschreibung Überschriften
learning 41
machine 33
talk 32
video 20
data 18

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Domain : interpretableml.ai

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