| 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 |