Comet YouTube subscribers count by month

month subscriber count videos count views count
July 2023 602 186 31879
August 2023 617 (+2%) 186 33277
September 2023 630 (+2%) 187 34704
October 2023 677 (+7%) 187 36352
November 2023 719 (+6%) 187 37914
December 2023 744 (+3%) 187 39193
January 2024 762 (+2%) 187 40365
February 2024 784 (+3%) 187 41905
March 2024 798 (+2%) 187 43180
April 2024 811 (+2%) 187 44480
May 2024 845 (+4%) 187 45798
June 2024 864 (+2%) 187 46805
July 2024 899 (+4%) 187 47825
August 2024 925 (+3%) 187 48907
September 2024 935 (+1%) 188 49783
October 2024 984 (+5%) 188 51837
November 2024 991 (+1%) 188 52172

Comet videos published by month

month published title ID
Mar. 2019 Fastai Comet Example MClx2PwFWCg
Mar. 2019 HuggingFace — Bringing state of the art NLP stack for conversational AI to production settings 6msJbsqNO7g
Mar. 2019 Fast.ai — An infinitely customizable training loop with Sylvain Gugger roc-dOSeehM
Sep. 2019 Webinar: Patenting AI with Comet.ml and Pearl Cohen Q7SaHWl3snE
Apr. 2020 Virtual Meetup: An Introduction to Synthetic Control with Pablo Crespo, Senior Data Scientist, Etsy uylSTX0rmPA
Oct. 2020 Comet Enterprise - Demo cX5tx202PXM
Oct. 2020 Industry Q&A - Starting the ML Process C3mAl5AFfBw
Oct. 2020 Industry Q&A - Where do most machine learning projects fail? N1lKuKavrkQ
Oct. 2020 Comet Enterprise: Two Minute Demo iYb9UPkymAg
Oct. 2020 Industry Q&A - What metrics do you track for in-production ML models? q55yVIuEcPw
Feb. 2021 Machine Learning Office Hours - Feb. 7, 2021 H_5hB1Gq1fg
Aug. 2021 Comet Industry Q&A: Collaborative Data Science and Machine Learning (Full) FeEswCS2B0A
Aug. 2021 Comet Industry Q&A Clip: How a passion for data visualization led Jakub Jurovych of Deepnote to ML uVxPgepykHs
Aug. 2021 Comet Industry Q&A Clip: The primary pain points with collaboration in DS/ML (Jakub) wQeP3nGrKn8
Aug. 2021 Comet Industry Q&A Clip: Advice to aspiring data scientists and machine learners EN-Xrbn47pg
Aug. 2021 Comet Industry Q&A Clip: The stages of collaboration in data science and machine learning (Jakub) 8s8aYSuDuLg
Aug. 2021 Comet Industry Q&A Clip: How teaching and mentoring have helped shape Abubakar Abid of Gradio FiYWHb65x60
Aug. 2021 Comet Industry Q&A Clip: Why collaborative tools matter for data science and ML (Abubakar) K_NzQ4TTqE8
Aug. 2021 Comet Industry Q&A Clip: Collaboration with interdisciplinary teams (Abubakar) 1zeerDlAx9I
Aug. 2021 Comet Industry Q&A Clip: The future of collaboration in data science and machine learning QuJBKFEQvPM
Sep. 2021 Comet Industry Q&A Clip: Evaluating ML models with qualitative metrics YbjhNQISQpo
Sep. 2021 Comet Industry Q&A Clip: Victor Dibia shares his ML journey PNN4gXLiS-g
Sep. 2021 Comet Industry Q&A: Products that use ML well pgyQSyaqeQo
Sep. 2021 Comet Industry Q&A Clip: Victor Dibia shares his personal favorite ML project that he's worked on n7N6bqolB0Q
Sep. 2021 Comet Industry Q&A Clip: Hart Woolery shares how he secured an investment from Mark Cuban MaWSIYuNlBs
Sep. 2021 Comet Industry Q&A Clip: Hart Woolery discusses how much ML should be shown to end users dDiO1ctWpSA
Sep. 2021 Comet Industry Q&A Clip: How ML can shape the future of human-computer interaction ZKTARo9c1L8
Sep. 2021 Comet Industry Q&A Clip: Victor Dibia discusses how much ML should be shared with end users 6gcsQ2_ga2o
Sep. 2021 Comet Industry Q&A Clip: Hart Woolery shares his ML journey AF_kApSVSVQ
Sep. 2021 Comet Industry Q&A Clip: How ML can shape the future of human-computer interaction hniUF_g1TO8
Sep. 2021 Comet Industry Q&A Clip: Evaluating ML models with qualitative metrics _w3qA1sn4DI
Sep. 2021 Comet Industry Q&A Clip: Products that use ML well...and poorly vvsTWwhQqGY
Sep. 2021 Comet Industry Q&A (Full Session): Creating User Interfaces and Experiences with Machine Learning unvr2E66L6Q
Oct. 2021 When Should You Build or Buy Your ML Ops Platform? sXwH9P0VO9U
Oct. 2021 Why We Created a New Category Experimentation Management f48j72496rU
Oct. 2021 Why You Need the Right Tool for ML Model Deployment eL628LfeSAU
Oct. 2021 How Zappos Uses the Comet Platform ilRHeaM-Z7Q
Oct. 2021 MLOps Without Comet = Sales Without Salesforce vdD-FchEuXw
Nov. 2021 How to Decide if ML Is the Right Solution for You TdagUQ4bNQ0
Nov. 2021 Deep Learning Libraries Shouldn’t Be Your Number 1 Approach es6Mb8zf-w4
Nov. 2021 Understanding the Challenges of Building Machine Learning Models Ex23FEqEpt0
Nov. 2021 3 Common Challenges of Creating an MLOps Strategy iJivfLn1x94
Nov. 2021 How Comet Fits Into Your MLOps Stack iWMCupnbhVU
Nov. 2021 How to Pick the Right MLOps Vendor fyh-SFkzWXw
Nov. 2021 A Central System of Record Is Key for Collaboration 0MjL0KhBiJY
Dec. 2021 Roundtable Guests Utilization of ML Tools and Frameworks Ch4Dcdyyo0w
Dec. 2021 Roundtable Guests Managing Internal ML Knowledge tIgya4PaCWM
Dec. 2021 Roundtable Guests Predictions 2022 and Beyond pCgSwNXVXcA
Dec. 2021 Roundtable Guests on Criteria for Choosing MLOps Tooling QMS7Lr9_cDE
Dec. 2021 Artsiom Strok of WorkFusion: Approach to ML Team Structure YdEaWROHcYE
Dec. 2021 Chris Brossman of The RealReal: ML Challenges at Scale in 2021 el9eoaKYGVk
Dec. 2021 Olcay Cirit of Uber AI: Tree-based Models vs Neural Nets 39GTCeqfvy8
Dec. 2021 Artsiom Strok of WorkFusion: ML Challenges at Scale in 2021 1nEgWdl-h2s
Dec. 2021 Olcay Cirit of Uber AI: Approach to ML Team Structure and Development Methodology pImlGBhqTfE
Dec. 2021 Chris Brossman of The RealReal: Approach to ML Team Structure ikVHmI9FTmg
Dec. 2021 Olcay Cirit of Uber AI: ML and AI Challenges at Scale in 2021 UChvmJ-2raQ
Jan. 2022 Christian Capdeville on Engaging Stakeholders in ML and Data Science Projects ow_BKPK7tl0
Jan. 2022 Christian Capdeville on Establishing Proof of Concept and Getting Buy In for ML for Business Project VcEcZjIEr3c
Jan. 2022 Comet Office Hours (Session 1): Defining Business Impact with Your Machine Learning Projects AAScd3pZBs4
Jan. 2022 Aligning ML Practices with Business Outcomes BYiCz14lAEc
Jan. 2022 Christian Capdeville on the Importance of Communication QzqR7xjW03o
Jan. 2022 Two Key Habits for Reproducible and Explainable ML Projects 16PVSfxZo6c
Jan. 2022 Picking the Right Problem rpmVv4z-mz8
Jan. 2022 Defining Success for the ML Project IhFUFwCBVxg
Jan. 2022 Comet Office Hours (Session 2): Defining Scope & Success Criteria for Your Machine Learning Projects 8sFkQuMP7sc
Jan. 2022 Comet Office Hours (Session 3): Have You Built a Good Machine Learning Model? Use Baselines. wGLEmFyAw-8
Jan. 2022 Comet Office Hours: Tips on Learning Machine Learning and Data Science JcXw7bz0Znk
Jan. 2022 Comet Office Hours: Why Dr. Angelica Lo Duca Uses Comet pGvXV_ql_JU
Jan. 2022 Comet Office Hours: What Makes a Good Baseline? BkjfY--1FK0
Jan. 2022 Comet Office Hours Working Session #1: Project Setup VNH-Lv8Igtc
Jan. 2022 Comet Office Hours Working Session #3: Classification Baseline YRPeuRWJYpQ
Jan. 2022 Comet Office Hours Working Session #2: Regression Baseline LmMpRG6C9hE
Jan. 2022 Comet Office Hours: Matt Blasa on Data Governance U_FFZTZ6rEQ
Jan. 2022 Comet Office Hours Session 4: Understanding, Validating, Versioning, and Engineering your Data tc-yUorCmZM
Jan. 2022 Comet Office Hours Jimmy Whitaker on Data Versioning gopjQRexlss
Jan. 2022 Comet Office Hours: Dr. Abe Gong on Data Curators zenKGD633nk
Jan. 2022 Futureproofing MLOps: CACE Principle and Tracking ML Experiments y8zIpTvKjgg
Jan. 2022 Futureproofing MLOps: What does it mean to "futureproof" your MLOps strategy? mZm89HYpKyQ
Jan. 2022 Futureproofing MLOps: Lubos Parobek on the Role of Data Versioning in the MLOps Stack DABCQwNRbbc
Jan. 2022 Comet Office Hours Working Session #4: Data Validation with Comet and Great Expectations axj9F6PS--U
Feb. 2022 Office Hours Session 5: How to Manage Experiments Like an Expert K1Gs2zkvw9Y
Feb. 2022 Comet Office Hours: Susan Shu Chang on the Clearco Team WZFhvBiwmOg
Feb. 2022 Comet Office Hours: Dr. W. Ronny Huang on Managing ML Pipelines TC_cBsB8Oxo
Feb. 2022 Comet Office Hours: Dr. Santona Tuli's Typical Work Day as a Data Scientist TIhoMxIB4ew
Feb. 2022 Comet Office Hours: Best Practices for Monitoring Models in Production 0So5q-I29BU
Feb. 2022 Office Hours Session 6: Tackling the Reproducibility Crisis in Machine Learning 65D8-df93vo
Feb. 2022 Comet Office Hours: Reproducibility as a Culture GmktfQ0-8W0
Feb. 2022 Comet Office Hours: Tiffany Fabianac on Understanding Your Model dJ_X4vN6SPE
Feb. 2022 Comet Office Hours: Experimental Protocols in Developmental Robotics zcaUpZNI7xk
Feb. 2022 Comet Office Hours: Dr. Doug Blank on Reproducibility After Deployment CY-63eGZeOg
Feb. 2022 Office Hours Session 7: How Model Management Makes Building Better Models Easier g4IE29W2y1Y
Feb. 2022 Comet Office Hours: Feature Engineering yxHOvYkr1K8
Feb. 2022 Comet Office Hours: The Best MLOps Tools for Beginners F6azQ-SE2IQ
Feb. 2022 Comet Office Hours Working Session #7: Using the Comet Optimizer mMDErNEF99g
Feb. 2022 Comet Office Hours Working Session #6: Feature Engineering Experiment Explanation SZobwPdUz8w
Feb. 2022 Comet Office Hours Working Session #5: Introduction to Feature Engineering VgT36udiGk8
Feb. 2022 Office Hours (Session 8): The Last Mile of Machine Learning and Beyond Model Serving and Monitoring CHOdMuCqtC0
Feb. 2022 Comet Office Hours: Software Deployment vs. ML Model Deployment ZXhMO__H7u0
Feb. 2022 Comet Office Hours: ML Systems Fail Silently vxcUUmkiC20
Feb. 2022 Comet Office Hours: How Small Teams Can Have Organizational Impact 0FqgLtv7NjQ
Feb. 2022 Comet Working Sessions #9: Building a Regression Model and Hyperparameter Search zT2FQq40RiQ
Feb. 2022 Comet Office Hours Working Session #8: Regression Model Intro nOvXkvupLg0
Mar. 2022 Convergence Conference: Rochelle March on ESG Data PeivrKxrj-I
Mar. 2022 Convergence Conference: Emily Curtin on Full Stack Unicorns A1n4BQURctw
Mar. 2022 Convergence Conference: Eduardo Bonet on the Growth of GitLab 1mZ0m5wxT84
Mar. 2022 Convergence Conference: Oren Etzioni Lessons for 2022 pSiZGtX2PGY
Mar. 2022 Convergence Conference: Peter Gao on how to Fix Data Errors _DXNhHtAUQw
Mar. 2022 Convergence Conference: Vidhi Chugh on Data Transformations oUoq6r-Ampk
Mar. 2022 Convergence Conference: Kevin Stumpf on Featuring Engineering Across Teams Tz32XguxxZ0
Mar. 2022 Convergence Conference: Abubakar Abid on How to Build ML Apps Fast 4t5LYBZiIp0
Mar. 2022 Convergence Conference: Uri Goren on A/B Testing EzjZE7IhglI
Mar. 2022 Convergence Conference: Shivika Bisen--Batch vs. Online Learning 41EE6mKGWws
Apr. 2022 More Than a Statistic: Diversity in Data Science and Machine Learning t-P6jGAIf9c
May. 2022 Panel: Creativity in Data Science and Machine Learning VWEMruzC3to
Jun. 2022 The Cool Data Projects Show: (Ep. 1) How Akash James Approaches Computer Vision 1VQXLXshKNY
Jun. 2022 The Cool Data Projects Show L7WyVEwoHhk
Jul. 2022 Community Office Hours: Meet Data Scientist Dhruv Nair qZGSc4jSKWU
Jul. 2022 Community Office Hours: Meet MLOps Engineer Chase Fortier Yc4YQlXfluQ
Aug. 2022 Running Models on CPU instead of GPUs and Detecting Pistols with CV! 9Wunv0TCmMo
Sep. 2022 What algorithms does Akash James use in Veronica? uBmXBl-eqF4
Sep. 2022 Akash James shares the methodology behind Veronica, an object detection assistant BajkfZyUf8A
Sep. 2022 Community Office Hours: Discussing 'Comet for Data Science' with Dr. Angelica Lo Duca KSI6sanospA
Sep. 2022 CometML now has an integration with YOLOv5! 63o-AyeS21Q
Sep. 2022 Advice for getting started with image super-resolution uzA9f-XzRa4
Sep. 2022 Image Super-Resolution Preprocessing tI-c9WI0DC8
Sep. 2022 Real-World Project on Satellite Image Super Resolution jOQxwIbaOww
Sep. 2022 Visualize your Computer Vision Model's predictions with Comet's Image Panel O9NoXaxbujA
Sep. 2022 Community Office Hours: Meet Head of Research Dr. Doug Blank hsci6O9rGOE
Sep. 2022 Computer Vision for Warehouse and Logistics ukxvup4VapM
Oct. 2022 How to Get Started in Data Engineering DO7aNuhmg-k
Oct. 2022 The Cool Data Projects Show (Episode 6) with Joe Reis ya1gkPyEU38
Oct. 2022 Anomaly detection with Anomalib and Comet tWN14Q8YdnQ
Oct. 2022 Building the Next Generation of NLP Infrastructure LLoT9pXS36Y
Oct. 2022 New Pricing Structure and Admin Dashboard Features! O1oTUya7Pis
Oct. 2022 Project best practices inspired by the Amazon workflow Nr0C6YTtxvI
Oct. 2022 Ai4 2022: Panel discussion on building the ultimate MLOps platform _djRPMP_J6M
Oct. 2022 Comet Demo eSRONmqz5Uk
Oct. 2022 Community Office Hours: What exactly does Alliances Product Marketing Manager Yasmeen Kashef do? fKo976SkvaA
Nov. 2022 Getting Started with Shiny App J6Y7ag5w4HY
Nov. 2022 A Guide to GitHub Actions tExTxgLNsSQ
Nov. 2022 Automatic Redeployment in the ShinyTweet project XzBsCnQHo9o
Nov. 2022 Generative Art Shiny App 7AHHOv-Vt3o
Nov. 2022 GitHub Actions for CI/CD of a Shiny App oTj-F0IniwA
Nov. 2022 What you do instead of spreadsheets knowing Comet automatically tracks your experiments #shorts ly4toFHsnd4
Nov. 2022 Which Cool Data Projects Are Getting VC Funding?? lvaImRtH7PM
Nov. 2022 How to get investors in regulated markets jIheI_OLFC4
Nov. 2022 Why aren't more women getting investor backing? WJiWAYyPnvI
Nov. 2022 When do you reach out to investors? cL1e4h8rbZ4
Nov. 2022 What metrics do investors evaluate? gBUMWL3wXyI
Nov. 2022 Streamlit App to Customize Computer Vision Inference Results DnTNaIQ9sfc
Nov. 2022 Streamlit App for Computer Vision da64uoSWOWs
Nov. 2022 Roboflow IOU q_pk4fLTSxg
Nov. 2022 Streamlit App Project Demo rklN4PQHhoc
Nov. 2022 Getting Started with Computer Vision amrS5cf2cro
Nov. 2022 Introducing Kangas h44ZKhnzAu0
Dec. 2022 Object Detection with Kangas m-BYJAChQHg
Dec. 2022 Convergence Conference: Rochelle March "Building a global data supply chain" WedUZMwrKxM
Dec. 2022 Convergence Conference: Abubakar Abid "Building Interactive Machine Learning Demos Fast" y1Rn-31dKWY
Dec. 2022 Convergence Conference: Shivika K. Bisen "Testing ML models for production" 3Ika_zke9uA
Dec. 2022 Convergence Conference: Resham Sarkar "Deep Dish: How ML brings you closer to pizza" 2UbGGJP_v4s
Dec. 2022 Convergence Conference: Kevin Stumpf "How Feature Stores Enable Operational ML" yEDF13xz_gU
Dec. 2022 Convergence Conference: Eduardo Bonet "Using ML to Solve the Right Problems" wmpDXB_s3pE
Dec. 2022 Convergence Conference: Peter Gao "It's The Data, Stupid!" MVQsbaagsyY
Dec. 2022 Convergence Conference: Panel "How to put ML successfully into production" w9IgzH5YssQ
Dec. 2022 Convergence Conference: Uri Goren "Recommendation systems: From A/B testing to deep learning" 5O2Oq5MDr4U
Dec. 2022 Convergence Conference: Vidhi Chugh "Data Quality Assessment using TensorFlow Data Validation" dMuAFFBaxlA
Dec. 2022 Convergence Conference: Emily Curtin "Stop Making Data Scientists Do Systems" jde5V0msV5k
Dec. 2022 Using Kangas with the HuggingFace Hub odv88btHjMQ
Dec. 2022 How Timothy Managed His Son's Asthma With ML fKylAguJcz8
Jan. 2023 Creating an asthma attack prediction model 96IEtmawUpo
Jan. 2023 Scaling ML Operations for a Multi-Sided Retail Marketplace: How Shipt Leverages Comet e_gQytbBHbg
Jan. 2023 You can watch your model train real-time in Comet, or... #shorts sBLsAaAmtlg
Jan. 2023 So You've Detected Objects, What's Next? N4oMIahTbIg
Jan. 2023 Three things you can do with Comet and Gradio KZnpH7msPq0
Jan. 2023 The Intersection of AI and Music KZGZbmkaghg
Jan. 2023 Tracking and Counting on a Custom Dataset with YOLOv8 pjRcjrYwKoc
Mar. 2023 Evaluating the Robustness of ML Models cIam-RoPqvI
Mar. 2023 3D Pose Estimation with YOLOv7 jaEvhRCi300
Mar. 2023 Comet Interactive Confusion Matrix KHmFJ3o0cWw
Mar. 2023 Comet Custom Panels lhqHiEV74QU
Apr. 2023 Actively Assisting Security With Machine Learning & Computer Vision qkKpN3-m4kE
Jun. 2023 How Netflix Built Their ML Infrastructure zh2VwDGs8d0
Jun. 2023 Few Shot Learning Using the Latest Advancements in Generative AI IJiI25Jow6k
Jun. 2023 An Inside Look At Creating Data Projects For StatQuest dvCwEczA1qI
Jun. 2023 LLMOps+ Model CI/CD with Comet 6GRGJ6u0kr8
Jul. 2023 From Hackathon to Production: Unveiling Etsy's Image Search Revolution with Comet oN6uRm7HVzc
Sep. 2023 Leveraging MLOps to Speed Up Historical Document Processing tkZIvoM9ePU
Sep. 2024 Introducing Opik: Open-Source LLM Evaluation from Comet B4oboG62lyA

By Matt Makai. 2021-2024.