SlideShare a Scribd company logo
1 of 52
An introduction to
Machine Learning
Thomas Paula
#1 Porto Alegre ML
Meetup
and a little bit of Deep Learning
whoami
Thomas Paula
Software Engineer
Machine Learning Engineer
(On going) Master’s Degree
in Machine Learning
How could we teach
machines in a way that they
could learn from
experience?
“A computer program is said to learn
from experience E with respect to some
class of tasks T and performance
measure P, if its performance at tasks in
T, as measured by P, improves with
experience E.
Tom M. Mitchell
“A computer program is said to learn
from experience E with respect to some
class of tasks T and performance
measure P, if its performance at tasks in
T, as measured by P, improves with
experience E.
Tom M. Mitchell
“A computer program is said to learn
from experience E with respect to some
class of tasks T and performance
measure P, if its performance at tasks in
T, as measured by P, improves with
experience E.
Tom M. Mitchell
“A computer program is said to learn
from experience E with respect to some
class of tasks T and performance
measure P, if its performance at tasks in
T, as measured by P, improves with
experience E.
Tom M. Mitchell
Example
Task T: Classify an e-mail as spam or not spam.
Performance measure P: Percentage of e-mails correctly
classified.
Training experience E: E-mails manually labeled by
humans.
Types of
Learning
Supervised Learning
Unsupervised Learning
Supervised Learning
This is a pawn! This is a knight!
This is a king!
Supervised Learning
Unsupervised Learning
Smaller than
others, with a
ball on the top:
group 0!
Not conic, nothing
on the top: group 1!
Higher than others,
with cross on the top:
group 2!
Unsupervised Learning
Group 0 Group 1
Unsupervised Learning
Task
Categories
Classification
Regression
Clustering
Neural
Network
Neural Network
"Convolutional Neural Networks for Visual Recognition" (http://cs231n.github.io/convolutional-
networks/)
Neuron Model
+1
a1
Input Layer Output Layer
Neuron Model
+1
a1
Weights
Input Layer Output Layer
Neuron Model
+1
a1
Inputs
Input Layer Output Layer
Neuron Model
+1
a1
Bias
Input Layer Output Layer
Neuron Model
+1
a1
Output
Input Layer Output Layer
Sigmoid
Neural Network Example
+1
a1
Create a neural
network that
behaves as an
Logic OR.
Neural Network Example
+1
a1
Input Output
0 0 0
0 1 1
1 0 1
1 1 1
Neural Network Example
+1
a1
Input Output
0 0 0
0 1 1
1 0 1
1 1 1
Neural Network Example
+1
a1
Input Output
0 0 0
0 1 1
1 0 1
1 1 1
a = -10*1 + 20*0 + 20*0 = -101
Neural Network Example
Input Output
0 0 0
0 1 1
1 0 1
1 1 1
Neural Network Example
Input Output
0 0 0
0 1 1
1 0 1
1 1 1
Deep Learning
“A machine learning approach
that attempts to extract high-
level and hierarchical features
from raw data.
Deep Neural Network
Where is it used?
•Speech Recognition;
•Music Classification;
•Recommendation;
•Image Classification;
•...
Some of the precursors...
Yann LeCun Geoffrey Hinton
Yoshua
Bengio
AI Winter
and
the Canadian Mafia
What happened?
• Major breakthrough in 2006 in the way deep architectures
were handled
• Unsupervised learning of representations is used to pre-train each
layer
• Unsupervised training of each layer at a time, on top of the previous
ones. The representation learned at each level is the input to the
next one.
• Use supervised learning to fine-tune all the layers
http://www.slideshare.net/perone/deep-learning-convolutional-neural-
networks
Besides that...
• Better hardware
• GPUs enable ~9x faster training compared to CPUs.
• High-quality datasets;
• New activation functions;
• Regularization methods.
Different implementations
• Convolutional Neural Networks (CNN);
• Deep Belief Networks;
• Autoencoders;
• Long Short Term Memory (LSTM)
• ...
Convolutional Neural
Networks
CNNs
"Convolutional networks and applications in vision" (LeCun et al., 2010)
Convolution
• In convolutional layers, all units are organized in feature maps;
• Mathematical term discrete convolution, which describes the
filtering operation performed by the feature map.
Convolution
"Deep Learning in a Nutshell" (https://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-
concepts/)
Pooling
• Usually used after convolution
layers;
• Reduces spatial size of the
representation
• Reducing the quantity of needed
parameters and computation;
• Controlling overfitting.
"Convolutional Neural Networks for Visual Recognition" (http://cs231n.github.io/convolutional-
networks/)
Example – Max Pooling
"Convolutional Neural Networks for Visual Recognition" (http://cs231n.github.io/convolutional-
networks/)
Example of Application
Image Classification Problem
"Convolutional Neural Networks for Visual Recognition" (http://cs231n.github.io/convolutional-
networks/)
Image Classification - Challenges
Traditional way
"Deep Learning Methods for Vision" (Honglak Lee, 2012)
Hand-crafted features
•Time consuming;
•Demand expert knowledge;
•Sometimes meaningful for a very specific scenario.
But what if we could learn feature extractors
instead?
Traditional
Deep
Learning
Hand-crafted
feature extractor
Trainable Classifier
Trainable feature
extractor
Trainable Classifier
Architectures Overview and Results
Thank you!
Thomas Paula - @tsp_thomas

More Related Content

What's hot

Machine Learning
Machine LearningMachine Learning
Machine LearningVivek Garg
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnBenjamin Bengfort
 
Introduction to deep learning
Introduction to deep learningIntroduction to deep learning
Introduction to deep learningAmr Rashed
 
Automated Machine Learning (Auto ML)
Automated Machine Learning (Auto ML)Automated Machine Learning (Auto ML)
Automated Machine Learning (Auto ML)Hayim Makabee
 
Artificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep LearningArtificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep LearningSujit Pal
 
Difference between Artificial Intelligence, Machine Learning, Deep Learning a...
Difference between Artificial Intelligence, Machine Learning, Deep Learning a...Difference between Artificial Intelligence, Machine Learning, Deep Learning a...
Difference between Artificial Intelligence, Machine Learning, Deep Learning a...Sanjay Srivastava
 
An introduction to Deep Learning
An introduction to Deep LearningAn introduction to Deep Learning
An introduction to Deep LearningJulien SIMON
 
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...SlideTeam
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine LearningKmPooja4
 
Intro to deep learning
Intro to deep learning Intro to deep learning
Intro to deep learning David Voyles
 
Machine Learning Ml Overview Algorithms Use Cases And Applications
Machine Learning Ml Overview Algorithms Use Cases And ApplicationsMachine Learning Ml Overview Algorithms Use Cases And Applications
Machine Learning Ml Overview Algorithms Use Cases And ApplicationsSlideTeam
 
Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Hayim Makabee
 
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Sri Ambati
 
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...Edureka!
 
Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Krishnaram Kenthapadi
 

What's hot (20)

Machine Learning
Machine LearningMachine Learning
Machine Learning
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
 
Machine learning
Machine learningMachine learning
Machine learning
 
Machine learning
Machine learning Machine learning
Machine learning
 
Machine learning
Machine learningMachine learning
Machine learning
 
Introduction to deep learning
Introduction to deep learningIntroduction to deep learning
Introduction to deep learning
 
Automated Machine Learning (Auto ML)
Automated Machine Learning (Auto ML)Automated Machine Learning (Auto ML)
Automated Machine Learning (Auto ML)
 
Artificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep LearningArtificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning and Deep Learning
 
Difference between Artificial Intelligence, Machine Learning, Deep Learning a...
Difference between Artificial Intelligence, Machine Learning, Deep Learning a...Difference between Artificial Intelligence, Machine Learning, Deep Learning a...
Difference between Artificial Intelligence, Machine Learning, Deep Learning a...
 
An introduction to Deep Learning
An introduction to Deep LearningAn introduction to Deep Learning
An introduction to Deep Learning
 
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine Learning
 
Intro to deep learning
Intro to deep learning Intro to deep learning
Intro to deep learning
 
Machine Learning Ml Overview Algorithms Use Cases And Applications
Machine Learning Ml Overview Algorithms Use Cases And ApplicationsMachine Learning Ml Overview Algorithms Use Cases And Applications
Machine Learning Ml Overview Algorithms Use Cases And Applications
 
Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)
 
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
 
Machine learning
Machine learningMachine learning
Machine learning
 
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...
 
Machine learning
Machine learningMachine learning
Machine learning
 
Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)
 

Similar to An introduction to Machine Learning (and a little bit of Deep Learning)

Visualization of Deep Learning
Visualization of Deep LearningVisualization of Deep Learning
Visualization of Deep LearningYaminiAlapati1
 
introduction to deeplearning
introduction to deeplearningintroduction to deeplearning
introduction to deeplearningEyad Alshami
 
A tutorial on deep learning at icml 2013
A tutorial on deep learning at icml 2013A tutorial on deep learning at icml 2013
A tutorial on deep learning at icml 2013Philip Zheng
 
Separating Hype from Reality in Deep Learning with Sameer Farooqui
 Separating Hype from Reality in Deep Learning with Sameer Farooqui Separating Hype from Reality in Deep Learning with Sameer Farooqui
Separating Hype from Reality in Deep Learning with Sameer FarooquiDatabricks
 
Deep Learning Sample Class (Jon Lederman)
Deep Learning Sample Class (Jon Lederman)Deep Learning Sample Class (Jon Lederman)
Deep Learning Sample Class (Jon Lederman)Jon Lederman
 
Introduction of Machine learning and Deep Learning
Introduction of Machine learning and Deep LearningIntroduction of Machine learning and Deep Learning
Introduction of Machine learning and Deep LearningMadhu Sanjeevi (Mady)
 
Startup.Ml: Using neon for NLP and Localization Applications
Startup.Ml: Using neon for NLP and Localization Applications Startup.Ml: Using neon for NLP and Localization Applications
Startup.Ml: Using neon for NLP and Localization Applications Intel Nervana
 
Automatic Attendace using convolutional neural network Face Recognition
Automatic Attendace using convolutional neural network Face RecognitionAutomatic Attendace using convolutional neural network Face Recognition
Automatic Attendace using convolutional neural network Face Recognitionvatsal199567
 
Yann le cun
Yann le cunYann le cun
Yann le cunYandex
 
Understanding Deep Learning & Parameter Tuning with MXnet, H2o Package in R
Understanding Deep Learning & Parameter Tuning with MXnet, H2o Package in RUnderstanding Deep Learning & Parameter Tuning with MXnet, H2o Package in R
Understanding Deep Learning & Parameter Tuning with MXnet, H2o Package in RManish Saraswat
 
Deep Learning With Python Tutorial | Edureka
Deep Learning With Python Tutorial | EdurekaDeep Learning With Python Tutorial | Edureka
Deep Learning With Python Tutorial | EdurekaEdureka!
 
Introduction to Neural Networks in Tensorflow
Introduction to Neural Networks in TensorflowIntroduction to Neural Networks in Tensorflow
Introduction to Neural Networks in TensorflowNicholas McClure
 
V2.0 open power ai virtual university deep learning and ai introduction
V2.0 open power ai virtual university   deep learning and ai introductionV2.0 open power ai virtual university   deep learning and ai introduction
V2.0 open power ai virtual university deep learning and ai introductionGanesan Narayanasamy
 
Getting Started with Machine Learning
Getting Started with Machine LearningGetting Started with Machine Learning
Getting Started with Machine LearningHumberto Marchezi
 
nncollovcapaldo2013-131220052427-phpapp01.pdf
nncollovcapaldo2013-131220052427-phpapp01.pdfnncollovcapaldo2013-131220052427-phpapp01.pdf
nncollovcapaldo2013-131220052427-phpapp01.pdfGayathriRHICETCSESTA
 

Similar to An introduction to Machine Learning (and a little bit of Deep Learning) (20)

Visualization of Deep Learning
Visualization of Deep LearningVisualization of Deep Learning
Visualization of Deep Learning
 
introduction to deeplearning
introduction to deeplearningintroduction to deeplearning
introduction to deeplearning
 
Deep learning - a primer
Deep learning - a primerDeep learning - a primer
Deep learning - a primer
 
Deep learning - a primer
Deep learning - a primerDeep learning - a primer
Deep learning - a primer
 
Deep learning
Deep learningDeep learning
Deep learning
 
Introduction to deep learning
Introduction to deep learningIntroduction to deep learning
Introduction to deep learning
 
Development of Deep Learning Architecture
Development of Deep Learning ArchitectureDevelopment of Deep Learning Architecture
Development of Deep Learning Architecture
 
A tutorial on deep learning at icml 2013
A tutorial on deep learning at icml 2013A tutorial on deep learning at icml 2013
A tutorial on deep learning at icml 2013
 
Separating Hype from Reality in Deep Learning with Sameer Farooqui
 Separating Hype from Reality in Deep Learning with Sameer Farooqui Separating Hype from Reality in Deep Learning with Sameer Farooqui
Separating Hype from Reality in Deep Learning with Sameer Farooqui
 
Deep Learning Sample Class (Jon Lederman)
Deep Learning Sample Class (Jon Lederman)Deep Learning Sample Class (Jon Lederman)
Deep Learning Sample Class (Jon Lederman)
 
Introduction of Machine learning and Deep Learning
Introduction of Machine learning and Deep LearningIntroduction of Machine learning and Deep Learning
Introduction of Machine learning and Deep Learning
 
Startup.Ml: Using neon for NLP and Localization Applications
Startup.Ml: Using neon for NLP and Localization Applications Startup.Ml: Using neon for NLP and Localization Applications
Startup.Ml: Using neon for NLP and Localization Applications
 
Automatic Attendace using convolutional neural network Face Recognition
Automatic Attendace using convolutional neural network Face RecognitionAutomatic Attendace using convolutional neural network Face Recognition
Automatic Attendace using convolutional neural network Face Recognition
 
Yann le cun
Yann le cunYann le cun
Yann le cun
 
Understanding Deep Learning & Parameter Tuning with MXnet, H2o Package in R
Understanding Deep Learning & Parameter Tuning with MXnet, H2o Package in RUnderstanding Deep Learning & Parameter Tuning with MXnet, H2o Package in R
Understanding Deep Learning & Parameter Tuning with MXnet, H2o Package in R
 
Deep Learning With Python Tutorial | Edureka
Deep Learning With Python Tutorial | EdurekaDeep Learning With Python Tutorial | Edureka
Deep Learning With Python Tutorial | Edureka
 
Introduction to Neural Networks in Tensorflow
Introduction to Neural Networks in TensorflowIntroduction to Neural Networks in Tensorflow
Introduction to Neural Networks in Tensorflow
 
V2.0 open power ai virtual university deep learning and ai introduction
V2.0 open power ai virtual university   deep learning and ai introductionV2.0 open power ai virtual university   deep learning and ai introduction
V2.0 open power ai virtual university deep learning and ai introduction
 
Getting Started with Machine Learning
Getting Started with Machine LearningGetting Started with Machine Learning
Getting Started with Machine Learning
 
nncollovcapaldo2013-131220052427-phpapp01.pdf
nncollovcapaldo2013-131220052427-phpapp01.pdfnncollovcapaldo2013-131220052427-phpapp01.pdf
nncollovcapaldo2013-131220052427-phpapp01.pdf
 

Recently uploaded

9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?SANGHEE SHIN
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Things you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceThings you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceMartin Humpolec
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataSafe Software
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServicePicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServiceRenan Moreira de Oliveira
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxMatsuo Lab
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 

Recently uploaded (20)

9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?Do we need a new standard for visualizing the invisible?
Do we need a new standard for visualizing the invisible?
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Things you didn't know you can use in your Salesforce
Things you didn't know you can use in your SalesforceThings you didn't know you can use in your Salesforce
Things you didn't know you can use in your Salesforce
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer ServicePicPay - GenAI Finance Assistant - ChatGPT for Customer Service
PicPay - GenAI Finance Assistant - ChatGPT for Customer Service
 
Introduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptxIntroduction to Matsuo Laboratory (ENG).pptx
Introduction to Matsuo Laboratory (ENG).pptx
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 

An introduction to Machine Learning (and a little bit of Deep Learning)