SlideShare une entreprise Scribd logo
1  sur  75
The Bad Idea Terminator
Melissa Perri
@lissijean
melissaperri.comQCon London 2015
InfoQ.com: News & Community Site
• 750,000 unique visitors/month
• Published in 4 languages (English, Chinese, Japanese and Brazilian
Portuguese)
• Post content from our QCon conferences
• News 15-20 / week
• Articles 3-4 / week
• Presentations (videos) 12-15 / week
• Interviews 2-3 / week
• Books 1 / month
Watch the video with slide
synchronization on InfoQ.com!
http://www.infoq.com/presentations
/product-management-bad-ideas
Presented at QCon London
www.qconlondon.com
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
@lissijean#qconlondon
Melissa Perri
ProdUX Labs
melissaperri.com
@lissijean
@lissijean#qconlondon
@lissijean#qconlondon
Software companies are suffering the same fate…
@lissijean#qconlondon
Idea Product/Market fit
Iterating
We start off testing and iterating…
@lissijean#qconlondon
Idea Product/Market fit
Iterating Build
Build
Build
but we get stuck building and not validating.
@lissijean#qconlondon
The
Build Trap
@lissijean#qconlondon
@lissijean#qconlondon
pressure from higher up
arbitrary deadlines
“building is working” mentality
Building is the easy part.
Figuring out what to build is hard.
@lissijean
@lissijean#qconlondon @lissijean#qconlondon
@lissijean#qconlondon @lissijean#qconlondon
@lissijean#qconlondon
Feature
ideas
are not
your
baby.
@lissijean#qconlondon
@lissijean#qconlondon
manage product life cycle
product specifications
work with development team
gather business requirements
create user stories
create wireframes
prioritization
manage KPIs across products
manage stakeholders
create product roadmaps
@lissijean#qconlondon
Narrow the focus
@lissijean#qconlondon
@lissijean#qconlondon @lissijean#qconlondon
@lissijean#qconlondon @lissijean#qconlondon
@lissijean#qconlondon
How do you
become the
Bad Idea Terminator?
@lissijean#qconlondon
@lissijean#qconlondon
What we normally do…
@lissijean#qconlondon
It starts with a request.
PM
VP
Marketing
Sales
@lissijean#qconlondon
PM
VP
Marketing
Sales
“Our customers want a
mobile app.”
@lissijean#qconlondon
@lissijean#qconlondon
Here,	
  
build	
  this.
Meh.
VP
PM
or sometimes it’s more like this.
@lissijean#qconlondon
Gather requirements
Write Specs
Design
Develop
@lissijean#qconlondon
DO NOT WANT
@lissijean#qconlondon
@lissijean#qconlondon
Where did we go wrong?
@lissijean#qconlondon
Didn’t recognize bias.
MISTAKE NUMBER ONE
@lissijean#qconlondon
3 Types of Bias
Causality Curse of
Knowledge
Anchoring
@lissijean#qconlondon
The copycat experience.
“We	
  built	
  a	
  mobile	
  app	
  
before	
  and	
  it	
  was	
  
successful.”
@lissijean#qconlondon
The copycat experience.
“Everyone	
  has	
  a	
  
mobile	
  app,	
  we	
  
need	
  one	
  too.”
@lissijean#qconlondon
Notice differences between
customers and business.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
You’re the expert.
“The	
  customers	
  
want	
  all	
  the	
  data	
  
possible.”
@lissijean#qconlondon
Change perspective.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
Put yourself in your user’s shoes.
@lissijean#qconlondon
“All	
  my	
  clients	
  
are	
  asking	
  
for	
  this.”
What was said vs reality.
@lissijean#qconlondon
What was said vs reality.
What was said vs reality.
@lissijean#qconlondon
Always ask for data.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
Feature Request Form
1. What feature you would like to build.
2. What KPI will this change? By how much?
3. Is there any other value for this change?
4. What is the business priority?
5. Is this dependent on any other changes?
@lissijean#qconlondon
Solution with no problem.
MISTAKE NUMBER TWO
@lissijean#qconlondon
Why?
@lissijean#qconlondon
Focus on the problem.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
Is this a problem we can and
want to solve?
@lissijean#qconlondon
Building without testing.
MISTAKE NUMBER THREE
@lissijean#qconlondon
Committing too early to one solution.
@lissijean#qconlondon
@lissijean#qconlondon
Consider many solutions.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
Investing too much and not letting go.
@lissijean#qconlondon
@lissijean#qconlondon
Test the most viable ones.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
Customer
Feedback
Investment
@lissijean#qconlondon
Small, data driven experiments to
make sure people are interested.
@lissijean#qconlondon
1. Do they have this problem?
2. Are they interested in solution idea?
3. Are they interested in solution?
3 Key Experiments to Run
@lissijean#qconlondon
1. Do they have this problem?
Talk to your customers.
@lissijean#qconlondon
“I don’t feel comfortable
meeting people that way.”
“I don’t feel comfortable
meeting people that way.”
@lissijean#qconlondon
“I wish someone would
give me steps.”
@lissijean#qconlondon
1. Do they have this problem?
Talk to your customers.
@lissijean#qconlondon
2. Are they interested in solution idea?
@lissijean#qconlondon
3. Are they interested in solution?
@lissijean#qconlondon
No success metrics.
MISTAKE NUMBER FOUR
@lissijean#qconlondon
We build and
launch with no
measures of
success.
@lissijean#qconlondon
@lissijean#qconlondon
Set goals early.
THE IDEA TERMINATOR WOULD…
@lissijean#qconlondon
What KPI are we affecting?
@lissijean#qconlondon
How much value do we need to
capture to make this worth it?
learning = success
@lissijean#qconlondon
Idea Launch
Risk of continuing with a
bad idea goes up
@lissijean#qconlondon
@lissijean#qconlondon
1. Recognize Bias
2. Focus on the problem
3. Test ideas quickly
4. Define success
@lissijean#qconlondon
“Our customers want a
mobile app.”
@lissijean#qconlondon
@lissijean#qconlondon
PM
VP
Marketing
Sales
Mobile app is a solution, what’s the problem?
@lissijean#qconlondon
PM
VP
Marketing
Sales
What KPIs are we affecting?
@lissijean#qconlondon
PM
VP
Marketing
Sales
How do we make sure this is a problem?
@lissijean#qconlondon
PM
VP
Marketing
Sales
Do we want to solve this problem?
@lissijean#qconlondon
PM
VP
Marketing
Sales
How can we test this quickly?
@lissijean#qconlondon
PM
VP
Marketing
Sales
How do we measure success?
@lissijean#qconlondon
The faster you kill the bad ideas, the more
time you can devote to the good ones.
Melissa Perri
melissa@produxlabs.com
produxlabs.com
melissaperri.com
@lissijean
Melissa Perri
melissa@produxlabs.com
produxlabs.com
melissaperri.com
@lissijean
Watch the video with slide synchronization on
InfoQ.com!
http://www.infoq.com/presentations/product-
management-bad-ideas

Contenu connexe

En vedette (13)

Ir-rebbiegħa
Ir-rebbiegħaIr-rebbiegħa
Ir-rebbiegħa
 
Jack Ryger - New York, New York
Jack Ryger - New York, New YorkJack Ryger - New York, New York
Jack Ryger - New York, New York
 
BASE Jumping - BASE.icks
BASE Jumping - BASE.icksBASE Jumping - BASE.icks
BASE Jumping - BASE.icks
 
Historiadeladn
HistoriadeladnHistoriadeladn
Historiadeladn
 
Enseñanza de la me canica
Enseñanza de la me canicaEnseñanza de la me canica
Enseñanza de la me canica
 
Exorcise the NIMBY Within
Exorcise the NIMBY WithinExorcise the NIMBY Within
Exorcise the NIMBY Within
 
Taylor Milbun Estate Agents In Essex Who Help With Mortgage
Taylor Milbun Estate Agents In Essex Who Help With MortgageTaylor Milbun Estate Agents In Essex Who Help With Mortgage
Taylor Milbun Estate Agents In Essex Who Help With Mortgage
 
จรรยาวิชาชีพวิจัย
จรรยาวิชาชีพวิจัยจรรยาวิชาชีพวิจัย
จรรยาวิชาชีพวิจัย
 
Angola
AngolaAngola
Angola
 
Renevela16
Renevela16Renevela16
Renevela16
 
Acceptable behaviour? Government intervention on unhealthy foods
Acceptable behaviour? Government intervention on unhealthy foodsAcceptable behaviour? Government intervention on unhealthy foods
Acceptable behaviour? Government intervention on unhealthy foods
 
Presentazione turismo pellegrino
Presentazione turismo pellegrinoPresentazione turismo pellegrino
Presentazione turismo pellegrino
 
What happens to the artist when you pirate
What happens to the artist when you pirateWhat happens to the artist when you pirate
What happens to the artist when you pirate
 

Plus de C4Media

Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live VideoStreaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live VideoC4Media
 
Next Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy MobileNext Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy MobileC4Media
 
Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020C4Media
 
Understand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java ApplicationsUnderstand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java ApplicationsC4Media
 
Kafka Needs No Keeper
Kafka Needs No KeeperKafka Needs No Keeper
Kafka Needs No KeeperC4Media
 
High Performing Teams Act Like Owners
High Performing Teams Act Like OwnersHigh Performing Teams Act Like Owners
High Performing Teams Act Like OwnersC4Media
 
Does Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to JavaDoes Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to JavaC4Media
 
Service Meshes- The Ultimate Guide
Service Meshes- The Ultimate GuideService Meshes- The Ultimate Guide
Service Meshes- The Ultimate GuideC4Media
 
Shifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CDShifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CDC4Media
 
CI/CD for Machine Learning
CI/CD for Machine LearningCI/CD for Machine Learning
CI/CD for Machine LearningC4Media
 
Fault Tolerance at Speed
Fault Tolerance at SpeedFault Tolerance at Speed
Fault Tolerance at SpeedC4Media
 
Architectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep SystemsArchitectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep SystemsC4Media
 
ML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsC4Media
 
Build Your Own WebAssembly Compiler
Build Your Own WebAssembly CompilerBuild Your Own WebAssembly Compiler
Build Your Own WebAssembly CompilerC4Media
 
User & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix ScaleUser & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix ScaleC4Media
 
Scaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's EdgeScaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's EdgeC4Media
 
Make Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home EverywhereMake Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home EverywhereC4Media
 
The Talk You've Been Await-ing For
The Talk You've Been Await-ing ForThe Talk You've Been Await-ing For
The Talk You've Been Await-ing ForC4Media
 
Future of Data Engineering
Future of Data EngineeringFuture of Data Engineering
Future of Data EngineeringC4Media
 
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreAutomated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreC4Media
 

Plus de C4Media (20)

Streaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live VideoStreaming a Million Likes/Second: Real-Time Interactions on Live Video
Streaming a Million Likes/Second: Real-Time Interactions on Live Video
 
Next Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy MobileNext Generation Client APIs in Envoy Mobile
Next Generation Client APIs in Envoy Mobile
 
Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020Software Teams and Teamwork Trends Report Q1 2020
Software Teams and Teamwork Trends Report Q1 2020
 
Understand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java ApplicationsUnderstand the Trade-offs Using Compilers for Java Applications
Understand the Trade-offs Using Compilers for Java Applications
 
Kafka Needs No Keeper
Kafka Needs No KeeperKafka Needs No Keeper
Kafka Needs No Keeper
 
High Performing Teams Act Like Owners
High Performing Teams Act Like OwnersHigh Performing Teams Act Like Owners
High Performing Teams Act Like Owners
 
Does Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to JavaDoes Java Need Inline Types? What Project Valhalla Can Bring to Java
Does Java Need Inline Types? What Project Valhalla Can Bring to Java
 
Service Meshes- The Ultimate Guide
Service Meshes- The Ultimate GuideService Meshes- The Ultimate Guide
Service Meshes- The Ultimate Guide
 
Shifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CDShifting Left with Cloud Native CI/CD
Shifting Left with Cloud Native CI/CD
 
CI/CD for Machine Learning
CI/CD for Machine LearningCI/CD for Machine Learning
CI/CD for Machine Learning
 
Fault Tolerance at Speed
Fault Tolerance at SpeedFault Tolerance at Speed
Fault Tolerance at Speed
 
Architectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep SystemsArchitectures That Scale Deep - Regaining Control in Deep Systems
Architectures That Scale Deep - Regaining Control in Deep Systems
 
ML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.jsML in the Browser: Interactive Experiences with Tensorflow.js
ML in the Browser: Interactive Experiences with Tensorflow.js
 
Build Your Own WebAssembly Compiler
Build Your Own WebAssembly CompilerBuild Your Own WebAssembly Compiler
Build Your Own WebAssembly Compiler
 
User & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix ScaleUser & Device Identity for Microservices @ Netflix Scale
User & Device Identity for Microservices @ Netflix Scale
 
Scaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's EdgeScaling Patterns for Netflix's Edge
Scaling Patterns for Netflix's Edge
 
Make Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home EverywhereMake Your Electron App Feel at Home Everywhere
Make Your Electron App Feel at Home Everywhere
 
The Talk You've Been Await-ing For
The Talk You've Been Await-ing ForThe Talk You've Been Await-ing For
The Talk You've Been Await-ing For
 
Future of Data Engineering
Future of Data EngineeringFuture of Data Engineering
Future of Data Engineering
 
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and MoreAutomated Testing for Terraform, Docker, Packer, Kubernetes, and More
Automated Testing for Terraform, Docker, Packer, Kubernetes, and More
 

Dernier

NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxBoston Institute of Analytics
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.pptamreenkhanum0307
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceSapana Sha
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queensdataanalyticsqueen03
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in collegessuser7a7cd61
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectBoston Institute of Analytics
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSINGmarianagonzalez07
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfchwongval
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 

Dernier (20)

NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.ppt
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts Service
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queens
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in college
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis Project
 
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
2006_GasProcessing_HB (1).pdf HYDROCARBON PROCESSING
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdf
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 

The Bad Idea Terminator