SlideShare une entreprise Scribd logo

Practical AI and ML overview

•Télécharger en tant que PPT, PDF•
•
LSx Festival of Technology
LSx Festival of Technology

This document provides an overview of artificial intelligence and machine learning concepts. It discusses different types of machine learning including supervised learning, unsupervised learning, and reinforcement learning. It also describes various machine learning algorithms like decision trees, Bayesian classifiers, artificial neural networks, and how they can be applied to problems like spam filtering, product recommendations, and price prediction. Finally, it lists several resources for learning more about AI/ML including books, online courses, code libraries, and datasets.

Technologie
1  sur  21
Practical Artificial Intelligence and Machine Learning ,[object Object],[object Object]
About this presentation ,[object Object],[object Object],[object Object],[object Object]
Artificial Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Machine Learning ,[object Object]
Machine Learning Flavours ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More flavours ,[object Object],[object Object],[object Object]
Training Examples ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
More complex feature relations
Decision Trees ,[object Object],[object Object],[object Object],[object Object],[object Object],Source: http://www2.cs.uregina.ca/~dbd/cs831/notes/ml/dtrees/c4.5
Decision Trees, example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bayesian Classifiers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Classifying your RSS feeds ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Finding Similarity ,[object Object],[object Object],[object Object],[object Object],[object Object]
Similar items Source: http://home.dei.polimi.it/matteucc/Clustering/tutorial_html
Artificial Neural Networks ,[object Object],[object Object]
Artificial Neural Networks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example, finding the best price ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More info ,[object Object],[object Object],[object Object],[object Object]

Recommandé

Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...
Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...
Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...Edureka!
 
TensorFlow In 10 Minutes | Deep Learning & TensorFlow | Edureka
TensorFlow In 10 Minutes | Deep Learning & TensorFlow | EdurekaTensorFlow In 10 Minutes | Deep Learning & TensorFlow | Edureka
TensorFlow In 10 Minutes | Deep Learning & TensorFlow | EdurekaEdureka!
 
T4 e e-class
T4 e e-classT4 e e-class
T4 e e-classstellaklavdianou
 
The ABC of Implementing Supervised Machine Learning with Python.pptx
The ABC of Implementing Supervised Machine Learning with Python.pptxThe ABC of Implementing Supervised Machine Learning with Python.pptx
The ABC of Implementing Supervised Machine Learning with Python.pptxRuby Shrestha
 
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...Edureka!
 
Tensorflow
TensorflowTensorflow
Tensorflowmarwa Ayad Mohamed
 
Getting started with TensorFlow
Getting started with TensorFlowGetting started with TensorFlow
Getting started with TensorFlowggarber
 
Introduction to Tensorflow
Introduction to TensorflowIntroduction to Tensorflow
Introduction to TensorflowTzar Umang
 

Recommandé

Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...
Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...
Introduction To TensorFlow | Deep Learning with TensorFlow | TensorFlow For B...Edureka!
 
TensorFlow In 10 Minutes | Deep Learning & TensorFlow | Edureka
TensorFlow In 10 Minutes | Deep Learning & TensorFlow | EdurekaTensorFlow In 10 Minutes | Deep Learning & TensorFlow | Edureka
TensorFlow In 10 Minutes | Deep Learning & TensorFlow | EdurekaEdureka!
 
T4 e e-class
T4 e e-classT4 e e-class
T4 e e-classstellaklavdianou
 
The ABC of Implementing Supervised Machine Learning with Python.pptx
The ABC of Implementing Supervised Machine Learning with Python.pptxThe ABC of Implementing Supervised Machine Learning with Python.pptx
The ABC of Implementing Supervised Machine Learning with Python.pptxRuby Shrestha
 
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...
TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Py...Edureka!
 
Tensorflow
TensorflowTensorflow
Tensorflowmarwa Ayad Mohamed
 
Getting started with TensorFlow
Getting started with TensorFlowGetting started with TensorFlow
Getting started with TensorFlowggarber
 
Introduction to Tensorflow
Introduction to TensorflowIntroduction to Tensorflow
Introduction to TensorflowTzar Umang
 
A practical Introduction to Machine Learning in Python
A practical Introduction to Machine Learning in PythonA practical Introduction to Machine Learning in Python
A practical Introduction to Machine Learning in PythonPierluigi Casale
 
Neural networks - BigSkyDevCon
Neural networks - BigSkyDevConNeural networks - BigSkyDevCon
Neural networks - BigSkyDevConryanstout
 
Dual Learning for Machine Translation (NIPS 2016)
Dual Learning for Machine Translation (NIPS 2016)Dual Learning for Machine Translation (NIPS 2016)
Dual Learning for Machine Translation (NIPS 2016)Toru Fujino
 
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and PhysicsInteraction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and PhysicsKen Kuroki
 
Introduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnIntroduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnMatt Hagy
 
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Edureka!
 
Deep Learning: Chapter 11 Practical Methodology
Deep Learning: Chapter 11 Practical MethodologyDeep Learning: Chapter 11 Practical Methodology
Deep Learning: Chapter 11 Practical MethodologyJason Tsai
 
Machine Learning - Introduction to Tensorflow
Machine Learning - Introduction to TensorflowMachine Learning - Introduction to Tensorflow
Machine Learning - Introduction to TensorflowAndrew Ferlitsch
 
Natural language processing open seminar For Tensorflow usage
Natural language processing open seminar For Tensorflow usageNatural language processing open seminar For Tensorflow usage
Natural language processing open seminar For Tensorflow usagehyunyoung Lee
 
Pythonic Math
Pythonic MathPythonic Math
Pythonic MathKirby Urner
 
Machine Learning 3 - Decision Tree Learning
Machine Learning 3 - Decision Tree LearningMachine Learning 3 - Decision Tree Learning
Machine Learning 3 - Decision Tree Learningbutest
 
TensorFlow example for AI Ukraine2016
TensorFlow example for AI Ukraine2016TensorFlow example for AI Ukraine2016
TensorFlow example for AI Ukraine2016Andrii Babii
 
Malloc() and calloc() in c
Malloc() and calloc() in cMalloc() and calloc() in c
Malloc() and calloc() in cMahesh Tibrewal
 
Introduction to TensorFlow 2.0
Introduction to TensorFlow 2.0Introduction to TensorFlow 2.0
Introduction to TensorFlow 2.0Databricks
 
Android memory and performance optimization
Android memory and performance optimizationAndroid memory and performance optimization
Android memory and performance optimizationveeracynixit
 
Sound analysis and processing with MATLAB
Sound analysis and processing with MATLABSound analysis and processing with MATLAB
Sound analysis and processing with MATLABTan Hoang Luu
 
Collecting Uncertain Data the Reactive Way
Collecting Uncertain Data the Reactive WayCollecting Uncertain Data the Reactive Way
Collecting Uncertain Data the Reactive WayJeff Smith
 
Tensor board
Tensor boardTensor board
Tensor boardSung Kim
 
Internship - Python - AI ML.pptx
Internship - Python - AI ML.pptxInternship - Python - AI ML.pptx
Internship - Python - AI ML.pptxHchethankumar
 
Internship - Python - AI ML.pptx
Internship - Python - AI ML.pptxInternship - Python - AI ML.pptx
Internship - Python - AI ML.pptxHchethankumar
 
Machine Learning
Machine LearningMachine Learning
Machine Learningbutest
 
Machine Learning
Machine LearningMachine Learning
Machine Learningbutest
 

Contenu connexe

Tendances

A practical Introduction to Machine Learning in Python
A practical Introduction to Machine Learning in PythonA practical Introduction to Machine Learning in Python
A practical Introduction to Machine Learning in PythonPierluigi Casale
 
Neural networks - BigSkyDevCon
Neural networks - BigSkyDevConNeural networks - BigSkyDevCon
Neural networks - BigSkyDevConryanstout
 
Dual Learning for Machine Translation (NIPS 2016)
Dual Learning for Machine Translation (NIPS 2016)Dual Learning for Machine Translation (NIPS 2016)
Dual Learning for Machine Translation (NIPS 2016)Toru Fujino
 
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and PhysicsInteraction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and PhysicsKen Kuroki
 
Introduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnIntroduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnMatt Hagy
 
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Edureka!
 
Deep Learning: Chapter 11 Practical Methodology
Deep Learning: Chapter 11 Practical MethodologyDeep Learning: Chapter 11 Practical Methodology
Deep Learning: Chapter 11 Practical MethodologyJason Tsai
 
Machine Learning - Introduction to Tensorflow
Machine Learning - Introduction to TensorflowMachine Learning - Introduction to Tensorflow
Machine Learning - Introduction to TensorflowAndrew Ferlitsch
 
Natural language processing open seminar For Tensorflow usage
Natural language processing open seminar For Tensorflow usageNatural language processing open seminar For Tensorflow usage
Natural language processing open seminar For Tensorflow usagehyunyoung Lee
 
Machine Learning 3 - Decision Tree Learning
Machine Learning 3 - Decision Tree LearningMachine Learning 3 - Decision Tree Learning
Machine Learning 3 - Decision Tree Learningbutest
 
TensorFlow example for AI Ukraine2016
TensorFlow example for AI Ukraine2016TensorFlow example for AI Ukraine2016
TensorFlow example for AI Ukraine2016Andrii Babii
 
Malloc() and calloc() in c
Malloc() and calloc() in cMalloc() and calloc() in c
Malloc() and calloc() in cMahesh Tibrewal
 
Introduction to TensorFlow 2.0
Introduction to TensorFlow 2.0Introduction to TensorFlow 2.0
Introduction to TensorFlow 2.0Databricks
 
Android memory and performance optimization
Android memory and performance optimizationAndroid memory and performance optimization
Android memory and performance optimizationveeracynixit
 
Sound analysis and processing with MATLAB
Sound analysis and processing with MATLABSound analysis and processing with MATLAB
Sound analysis and processing with MATLABTan Hoang Luu
 
Collecting Uncertain Data the Reactive Way
Collecting Uncertain Data the Reactive WayCollecting Uncertain Data the Reactive Way
Collecting Uncertain Data the Reactive WayJeff Smith
 
Tensor board
Tensor boardTensor board
Tensor boardSung Kim
 

Tendances (18)

A practical Introduction to Machine Learning in Python
A practical Introduction to Machine Learning in PythonA practical Introduction to Machine Learning in Python
A practical Introduction to Machine Learning in Python
 
Neural networks - BigSkyDevCon
Neural networks - BigSkyDevConNeural networks - BigSkyDevCon
Neural networks - BigSkyDevCon
 
Dual Learning for Machine Translation (NIPS 2016)
Dual Learning for Machine Translation (NIPS 2016)Dual Learning for Machine Translation (NIPS 2016)
Dual Learning for Machine Translation (NIPS 2016)
 
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and PhysicsInteraction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
 
Introduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learnIntroduction to Machine Learning with Python and scikit-learn
Introduction to Machine Learning with Python and scikit-learn
 
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
 
Deep Learning: Chapter 11 Practical Methodology
Deep Learning: Chapter 11 Practical MethodologyDeep Learning: Chapter 11 Practical Methodology
Deep Learning: Chapter 11 Practical Methodology
 
Machine Learning - Introduction to Tensorflow
Machine Learning - Introduction to TensorflowMachine Learning - Introduction to Tensorflow
Machine Learning - Introduction to Tensorflow
 
Natural language processing open seminar For Tensorflow usage
Natural language processing open seminar For Tensorflow usageNatural language processing open seminar For Tensorflow usage
Natural language processing open seminar For Tensorflow usage
 
Pythonic Math
Pythonic MathPythonic Math
Pythonic Math
 
Machine Learning 3 - Decision Tree Learning
Machine Learning 3 - Decision Tree LearningMachine Learning 3 - Decision Tree Learning
Machine Learning 3 - Decision Tree Learning
 
TensorFlow example for AI Ukraine2016
TensorFlow example for AI Ukraine2016TensorFlow example for AI Ukraine2016
TensorFlow example for AI Ukraine2016
 
Malloc() and calloc() in c
Malloc() and calloc() in cMalloc() and calloc() in c
Malloc() and calloc() in c
 
Introduction to TensorFlow 2.0
Introduction to TensorFlow 2.0Introduction to TensorFlow 2.0
Introduction to TensorFlow 2.0
 
Android memory and performance optimization
Android memory and performance optimizationAndroid memory and performance optimization
Android memory and performance optimization
 
Sound analysis and processing with MATLAB
Sound analysis and processing with MATLABSound analysis and processing with MATLAB
Sound analysis and processing with MATLAB
 
Collecting Uncertain Data the Reactive Way
Collecting Uncertain Data the Reactive WayCollecting Uncertain Data the Reactive Way
Collecting Uncertain Data the Reactive Way
 
Tensor board
Tensor boardTensor board
Tensor board
 

Similaire à Practical AI and ML overview

Internship - Python - AI ML.pptx
Internship - Python - AI ML.pptxInternship - Python - AI ML.pptx
Internship - Python - AI ML.pptxHchethankumar
 
Internship - Python - AI ML.pptx
Internship - Python - AI ML.pptxInternship - Python - AI ML.pptx
Internship - Python - AI ML.pptxHchethankumar
 
Machine Learning
Machine LearningMachine Learning
Machine Learningbutest
 
Machine Learning
Machine LearningMachine Learning
Machine Learningbutest
 
B4UConference_machine learning_deeplearning
B4UConference_machine learning_deeplearningB4UConference_machine learning_deeplearning
B4UConference_machine learning_deeplearningHoa Le
 
Start machine learning in 5 simple steps
Start machine learning in 5 simple stepsStart machine learning in 5 simple steps
Start machine learning in 5 simple stepsRenjith M P
 
AI and ML Skills for the Testing World Tutorial
AI and ML Skills for the Testing World TutorialAI and ML Skills for the Testing World Tutorial
AI and ML Skills for the Testing World TutorialTariq King
 
Intelligent Ruby + Machine Learning
Intelligent Ruby + Machine LearningIntelligent Ruby + Machine Learning
Intelligent Ruby + Machine LearningIlya Grigorik
 
Meetup 29042015
Meetup 29042015Meetup 29042015
Meetup 29042015lbishal
 
original
originaloriginal
originalbutest
 
Ml programming with python
Ml programming with pythonMl programming with python
Ml programming with pythonKumud Arora
 
ML_ Unit_1_PART_A
ML_ Unit_1_PART_AML_ Unit_1_PART_A
ML_ Unit_1_PART_ASrimatre K
 
Analysis using r
Analysis using rAnalysis using r
Analysis using rPriya Mohan
 
Machine Learning Contents.pptx
Machine Learning Contents.pptxMachine Learning Contents.pptx
Machine Learning Contents.pptxNaveenkushwaha18
 
AutoML for Data Science Productivity and Toward Better Digital Decisions
AutoML for Data Science Productivity and Toward Better Digital DecisionsAutoML for Data Science Productivity and Toward Better Digital Decisions
AutoML for Data Science Productivity and Toward Better Digital DecisionsSteven Gustafson
 
Machine Learning 1 - Introduction
Machine Learning 1 - IntroductionMachine Learning 1 - Introduction
Machine Learning 1 - Introductionbutest
 
Artificial intelligence and IoT
Artificial intelligence and IoTArtificial intelligence and IoT
Artificial intelligence and IoTVeselin Pizurica
 
Easy path to machine learning (Spring 2021)
Easy path to machine learning (Spring 2021)Easy path to machine learning (Spring 2021)
Easy path to machine learning (Spring 2021)wesley chun
 
Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23
Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23
Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23Tomasz Sikora
 

Similaire à Practical AI and ML overview (20)

Internship - Python - AI ML.pptx
Internship - Python - AI ML.pptxInternship - Python - AI ML.pptx
Internship - Python - AI ML.pptx
 
Internship - Python - AI ML.pptx
Internship - Python - AI ML.pptxInternship - Python - AI ML.pptx
Internship - Python - AI ML.pptx
 
Machine Learning
Machine LearningMachine Learning
Machine Learning
 
Machine Learning
Machine LearningMachine Learning
Machine Learning
 
B4UConference_machine learning_deeplearning
B4UConference_machine learning_deeplearningB4UConference_machine learning_deeplearning
B4UConference_machine learning_deeplearning
 
Start machine learning in 5 simple steps
Start machine learning in 5 simple stepsStart machine learning in 5 simple steps
Start machine learning in 5 simple steps
 
AI and ML Skills for the Testing World Tutorial
AI and ML Skills for the Testing World TutorialAI and ML Skills for the Testing World Tutorial
AI and ML Skills for the Testing World Tutorial
 
Intelligent Ruby + Machine Learning
Intelligent Ruby + Machine LearningIntelligent Ruby + Machine Learning
Intelligent Ruby + Machine Learning
 
Meetup 29042015
Meetup 29042015Meetup 29042015
Meetup 29042015
 
original
originaloriginal
original
 
Lecture-6-7.pptx
Lecture-6-7.pptxLecture-6-7.pptx
Lecture-6-7.pptx
 
Ml programming with python
Ml programming with pythonMl programming with python
Ml programming with python
 
ML_ Unit_1_PART_A
ML_ Unit_1_PART_AML_ Unit_1_PART_A
ML_ Unit_1_PART_A
 
Analysis using r
Analysis using rAnalysis using r
Analysis using r
 
Machine Learning Contents.pptx
Machine Learning Contents.pptxMachine Learning Contents.pptx
Machine Learning Contents.pptx
 
AutoML for Data Science Productivity and Toward Better Digital Decisions
AutoML for Data Science Productivity and Toward Better Digital DecisionsAutoML for Data Science Productivity and Toward Better Digital Decisions
AutoML for Data Science Productivity and Toward Better Digital Decisions
 
Machine Learning 1 - Introduction
Machine Learning 1 - IntroductionMachine Learning 1 - Introduction
Machine Learning 1 - Introduction
 
Artificial intelligence and IoT
Artificial intelligence and IoTArtificial intelligence and IoT
Artificial intelligence and IoT
 
Easy path to machine learning (Spring 2021)
Easy path to machine learning (Spring 2021)Easy path to machine learning (Spring 2021)
Easy path to machine learning (Spring 2021)
 
Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23
Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23
Sjug #26 ml is in java but is dl too - ver1.04 - tomasz sikora 2018-03-23
 

Plus de LSx Festival of Technology

Psycho Teams & Theory Of Mind (Philip Hemsted)
Psycho Teams & Theory Of Mind (Philip Hemsted)Psycho Teams & Theory Of Mind (Philip Hemsted)
Psycho Teams & Theory Of Mind (Philip Hemsted)LSx Festival of Technology
 
Mass Customisation and the One-to-One Future (Glen Smith)
Mass Customisation and the One-to-One Future (Glen Smith)Mass Customisation and the One-to-One Future (Glen Smith)
Mass Customisation and the One-to-One Future (Glen Smith)LSx Festival of Technology
 
Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)
Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)
Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)LSx Festival of Technology
 
FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...
FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...
FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...LSx Festival of Technology
 
A Digital Will Needs A Digital Way (Ian Pringle)
A Digital Will Needs A Digital Way (Ian Pringle)A Digital Will Needs A Digital Way (Ian Pringle)
A Digital Will Needs A Digital Way (Ian Pringle)LSx Festival of Technology
 
Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)
Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)
Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)LSx Festival of Technology
 
Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)
Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)
Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)LSx Festival of Technology
 
Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)
Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)
Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)LSx Festival of Technology
 
Bringing Social to Coffee on iPhone (Katie Lips)
Bringing Social to Coffee on iPhone (Katie Lips)Bringing Social to Coffee on iPhone (Katie Lips)
Bringing Social to Coffee on iPhone (Katie Lips)LSx Festival of Technology
 
Life Online: Curating the history of the Internet (Tom Woolley)
Life Online: Curating the history of the Internet (Tom Woolley)Life Online: Curating the history of the Internet (Tom Woolley)
Life Online: Curating the history of the Internet (Tom Woolley)LSx Festival of Technology
 
Art for Art's sake, or for Mankind's sake (Mohammed Ali)
Art for Art's sake, or for Mankind's sake (Mohammed Ali)Art for Art's sake, or for Mankind's sake (Mohammed Ali)
Art for Art's sake, or for Mankind's sake (Mohammed Ali)LSx Festival of Technology
 
Open data, the City and the New Federation (Julian Tait)
Open data, the City and the New Federation (Julian Tait)Open data, the City and the New Federation (Julian Tait)
Open data, the City and the New Federation (Julian Tait)LSx Festival of Technology
 

Plus de LSx Festival of Technology (20)

The Politics Of Patterns (James Boardwell)
The Politics Of Patterns (James Boardwell)The Politics Of Patterns (James Boardwell)
The Politics Of Patterns (James Boardwell)
 
Psycho Teams & Theory Of Mind (Philip Hemsted)
Psycho Teams & Theory Of Mind (Philip Hemsted)Psycho Teams & Theory Of Mind (Philip Hemsted)
Psycho Teams & Theory Of Mind (Philip Hemsted)
 
The Future Of Reading (Guy Dickinson)
The Future Of Reading (Guy Dickinson)The Future Of Reading (Guy Dickinson)
The Future Of Reading (Guy Dickinson)
 
Mass Customisation and the One-to-One Future (Glen Smith)
Mass Customisation and the One-to-One Future (Glen Smith)Mass Customisation and the One-to-One Future (Glen Smith)
Mass Customisation and the One-to-One Future (Glen Smith)
 
Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)
Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)
Recovery 2.0: Digital Inclusion & Social Models Of Recovery (Katie Brown)
 
FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...
FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...
FriiSpray: Digital Grafitti with IR tracking (Stuart Childs, Richard Garside,...
 
My Life In Twenty Graphs (Tom Scott)
My Life In Twenty Graphs (Tom Scott)My Life In Twenty Graphs (Tom Scott)
My Life In Twenty Graphs (Tom Scott)
 
A Digital Will Needs A Digital Way (Ian Pringle)
A Digital Will Needs A Digital Way (Ian Pringle)A Digital Will Needs A Digital Way (Ian Pringle)
A Digital Will Needs A Digital Way (Ian Pringle)
 
Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)
Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)
Could Hardware Hacking Save Us? (Alexandra Dechamps-Sonsino)
 
Perfection In Design (Dean Vipond)
Perfection In Design (Dean Vipond)Perfection In Design (Dean Vipond)
Perfection In Design (Dean Vipond)
 
Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)
Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)
Embracing Concurrency: For Fun, Utility & Simpler Code (Michael Sparks)
 
Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)
Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)
Don't Forget Voice! Telephony Hacks for Web 2.0 hackers (Tim Panton)
 
Aid 2.0: IT In Africa (Jeff Allen)
Aid 2.0: IT In Africa (Jeff Allen)Aid 2.0: IT In Africa (Jeff Allen)
Aid 2.0: IT In Africa (Jeff Allen)
 
Bringing Social to Coffee on iPhone (Katie Lips)
Bringing Social to Coffee on iPhone (Katie Lips)Bringing Social to Coffee on iPhone (Katie Lips)
Bringing Social to Coffee on iPhone (Katie Lips)
 
Introducing Ignite UK North (Craig Smith)
Introducing Ignite UK North (Craig Smith)Introducing Ignite UK North (Craig Smith)
Introducing Ignite UK North (Craig Smith)
 
Tweetfoxxy (Ian Forrester)
Tweetfoxxy (Ian Forrester)Tweetfoxxy (Ian Forrester)
Tweetfoxxy (Ian Forrester)
 
Life Online: Curating the history of the Internet (Tom Woolley)
Life Online: Curating the history of the Internet (Tom Woolley)Life Online: Curating the history of the Internet (Tom Woolley)
Life Online: Curating the history of the Internet (Tom Woolley)
 
Art for Art's sake, or for Mankind's sake (Mohammed Ali)
Art for Art's sake, or for Mankind's sake (Mohammed Ali)Art for Art's sake, or for Mankind's sake (Mohammed Ali)
Art for Art's sake, or for Mankind's sake (Mohammed Ali)
 
Open data, the City and the New Federation (Julian Tait)
Open data, the City and the New Federation (Julian Tait)Open data, the City and the New Federation (Julian Tait)
Open data, the City and the New Federation (Julian Tait)
 
Turning Design On It’s Side (Paul Kerfoot)
Turning Design On It’s Side (Paul Kerfoot)Turning Design On It’s Side (Paul Kerfoot)
Turning Design On It’s Side (Paul Kerfoot)
 

Dernier

Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 

Dernier (20)

DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 

Practical AI and ML overview