At GDSC HCMUT Info Seminar 2021, you will:
- Get a better understanding of the community, purpose, activities and benefits received from participating in GDSC.
- Meet, exchange and learn from people who have the same passion for technology.
- Receive detailed information about GDSC HCMUT 2021 recruitment.
Intro to Nick Arancio and NOC Building philosophyNick Arancio
This is a power point intro to me (Nick Arancio) and a high level NOC Building Philosophy. I created it for an interview with MathWorks (great company). And no, I did not get the job, but I did have fun.
GDSC MESCOE is here with its very first event - LET'S TALK ANDROID Dev with Shreyas Patil.
Android app development is pivotal for businesses to reach out to more customers, improve their sales, brand image and create a loyal customer base.
So if you have myths, questions, or an unquenched thirst to know more about Android, this is the perfect session for you!
Reviewing progress in the machine learning certification journey
𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻 - Short tech talk on How to Network by Qingyue(Annie) Wang
C𝗼𝗻𝘁𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗻 AI and ML on Google Cloud by Margaret Maynard-Reid
𝗔 𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗻 𝗠𝗟 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗳𝗿𝗮𝗺𝗶𝗻𝗴, 𝗺𝗼𝗱𝗲𝗹 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗳𝗮𝗶𝗿𝗻𝗲𝘀𝘀 by Sowndarya Venkateswaran.
A discussion on sample questions to aid certification exam preparation.
An interactive Q&A session to clarify doubts and questions.
Previewing next steps and topics, including course completions and material reviews.
Delta Analytics is a 501(c)3 non-profit in the Bay Area. We believe that data is powerful, and that anybody should be able to harness it for change. Our teaching fellows partner with schools and organizations worldwide to work with students excited about the power of data to do good.
Welcome to the course! These modules will teach you the fundamental building blocks and the theory necessary to be a responsible machine learning practitioner in your own community. Each module focuses on accessible examples designed to teach you about good practices and the powerful (yet surprisingly simple) algorithms we use to model data.
To learn more about our mission or provide feedback, take a look at www.deltanalytics.org. If you would like to use this material to further our mission of improving access to machine learning. Education please reach out to inquiry@deltanalytics.org.
At GDSC HCMUT Info Seminar 2021, you will:
- Get a better understanding of the community, purpose, activities and benefits received from participating in GDSC.
- Meet, exchange and learn from people who have the same passion for technology.
- Receive detailed information about GDSC HCMUT 2021 recruitment.
Intro to Nick Arancio and NOC Building philosophyNick Arancio
This is a power point intro to me (Nick Arancio) and a high level NOC Building Philosophy. I created it for an interview with MathWorks (great company). And no, I did not get the job, but I did have fun.
GDSC MESCOE is here with its very first event - LET'S TALK ANDROID Dev with Shreyas Patil.
Android app development is pivotal for businesses to reach out to more customers, improve their sales, brand image and create a loyal customer base.
So if you have myths, questions, or an unquenched thirst to know more about Android, this is the perfect session for you!
Reviewing progress in the machine learning certification journey
𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻 - Short tech talk on How to Network by Qingyue(Annie) Wang
C𝗼𝗻𝘁𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗻 AI and ML on Google Cloud by Margaret Maynard-Reid
𝗔 𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗿𝗲𝘃𝗶𝗲𝘄 𝗼𝗻 𝗠𝗟 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗳𝗿𝗮𝗺𝗶𝗻𝗴, 𝗺𝗼𝗱𝗲𝗹 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗳𝗮𝗶𝗿𝗻𝗲𝘀𝘀 by Sowndarya Venkateswaran.
A discussion on sample questions to aid certification exam preparation.
An interactive Q&A session to clarify doubts and questions.
Previewing next steps and topics, including course completions and material reviews.
Delta Analytics is a 501(c)3 non-profit in the Bay Area. We believe that data is powerful, and that anybody should be able to harness it for change. Our teaching fellows partner with schools and organizations worldwide to work with students excited about the power of data to do good.
Welcome to the course! These modules will teach you the fundamental building blocks and the theory necessary to be a responsible machine learning practitioner in your own community. Each module focuses on accessible examples designed to teach you about good practices and the powerful (yet surprisingly simple) algorithms we use to model data.
To learn more about our mission or provide feedback, take a look at www.deltanalytics.org. If you would like to use this material to further our mission of improving access to machine learning. Education please reach out to inquiry@deltanalytics.org.
AI and ML for Product Management by Smartsheet Sr Dir of PMProduct School
Product Management Event at #ProductCon Seattle on AI and ML for Product Management by Nitin Bhat, Senior Director of Product Management at Smartsheet.
Machine learning: A Walk Through School ExamsRamsha Ijaz
When it comes to studying, Machines and Students have one thing in common: Examinations. To perform well on their final evaluations, humans require taking classes, reading books and solving practice quizzes. Similarly, machines need artificial intelligence to memorize data, infer feature correlations, and pass validation standards in order to solve almost any problem. In this quick introductory session, we'll walk through these analogies to learn the core concepts behind Machine Learning, and why it works so well!
Machine Learning: Artificial Intelligence isn't just a Science Fiction topicRaúl Garreta
In this presentation I show a brief introduction to Machine Learning and its applications. I also present two cloud platforms for Machine Learning: Microsoft Azure for Machine Learning and MonkeyLearn.
In a world of data explosion, the rate of data generation and consumption is on the increasing side,
there comes the buzzword - Big Data.
Big Data is the concept of fast-moving, large-volume data in varying dimensions (sources) and
highly unpredicted sources.
The 4Vs of Big Data
● Volume - Scale of Data
● Velocity - Analysis of Streaming Data
● Variety - Different forms of Data
● Veracity - Uncertainty of Data
With increasing data availability, the new trend in the industry demands not just data collection but making an ample sense of acquired data - thereby, the concept of Data Analytics.
Taking it a step further to further make futuristic prediction and realistic inferences - the concept
of Machine Learning.
A blend of both gives a robust analysis of data for the past, now and the future.
There is a thin line between data analytics and Machine learning which becomes very obvious
when you dig deep.
The talk is on How to become a data scientist. This was at 2ns Annual event of Pune Developer's Community. It focuses on Skill Set required to become data scientist. And also based on who you are what you can be.
Are We Generation AI? An Introduction to Applications, Benefits, and Challenges of AI for Small and Medium Sized Business. Presented at the WIN.fbg meeting in Fredericksburg, TX on April 11, 2023.
Slides Chris Butler recently used in his discussion w/ mentees of The Product Mentor.
Synopsis: In this talk, Vikas will share his thoughts on what is Product Strategy and how Product Managers can develop it, He will also share some concepts in Strategy and how Product Managers can apply them to make their products more successful.
The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals…Better Decisions. Better Products. Better Product People.
Throughout the program, each mentor leads a conversation in an area of their expertise that is live streamed and available to both mentee and the broader product community.
http://TheProductMentor.com
AI and ML for Product Management by Smartsheet Sr Dir of PMProduct School
Product Management Event at #ProductCon Seattle on AI and ML for Product Management by Nitin Bhat, Senior Director of Product Management at Smartsheet.
Machine learning: A Walk Through School ExamsRamsha Ijaz
When it comes to studying, Machines and Students have one thing in common: Examinations. To perform well on their final evaluations, humans require taking classes, reading books and solving practice quizzes. Similarly, machines need artificial intelligence to memorize data, infer feature correlations, and pass validation standards in order to solve almost any problem. In this quick introductory session, we'll walk through these analogies to learn the core concepts behind Machine Learning, and why it works so well!
Machine Learning: Artificial Intelligence isn't just a Science Fiction topicRaúl Garreta
In this presentation I show a brief introduction to Machine Learning and its applications. I also present two cloud platforms for Machine Learning: Microsoft Azure for Machine Learning and MonkeyLearn.
In a world of data explosion, the rate of data generation and consumption is on the increasing side,
there comes the buzzword - Big Data.
Big Data is the concept of fast-moving, large-volume data in varying dimensions (sources) and
highly unpredicted sources.
The 4Vs of Big Data
● Volume - Scale of Data
● Velocity - Analysis of Streaming Data
● Variety - Different forms of Data
● Veracity - Uncertainty of Data
With increasing data availability, the new trend in the industry demands not just data collection but making an ample sense of acquired data - thereby, the concept of Data Analytics.
Taking it a step further to further make futuristic prediction and realistic inferences - the concept
of Machine Learning.
A blend of both gives a robust analysis of data for the past, now and the future.
There is a thin line between data analytics and Machine learning which becomes very obvious
when you dig deep.
The talk is on How to become a data scientist. This was at 2ns Annual event of Pune Developer's Community. It focuses on Skill Set required to become data scientist. And also based on who you are what you can be.
Are We Generation AI? An Introduction to Applications, Benefits, and Challenges of AI for Small and Medium Sized Business. Presented at the WIN.fbg meeting in Fredericksburg, TX on April 11, 2023.
Slides Chris Butler recently used in his discussion w/ mentees of The Product Mentor.
Synopsis: In this talk, Vikas will share his thoughts on what is Product Strategy and how Product Managers can develop it, He will also share some concepts in Strategy and how Product Managers can apply them to make their products more successful.
The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by the fundamental goals…Better Decisions. Better Products. Better Product People.
Throughout the program, each mentor leads a conversation in an area of their expertise that is live streamed and available to both mentee and the broader product community.
http://TheProductMentor.com
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
9. Introduction
● How-to-AI Series will be held on 5 days, each day during the event you will
be introduced to different topics about AI and Machine Learning.
● Understand the common terms and be able to build an AI/ML product.
10. Timeline
Day 1: WazzUp AI 05/12/2021
Day 2: Build Up your own Neural Network 11/12/2021
Day 3: Take Up Convolutional Neural Network 12/12/2021
Day 4: Level Up your model 02/01/2022
Day 5: Meet Up with experts 09/01/2022
11. GDSC AI Challenge
Training your first AI model
● A competition hosted on Kaggle platform to help attendees revise what
they have learned in the first 3 workshops and build their own Machine
Learning models.
● Timeline: 12/12/2021 - 26/12/2021
● Total prizes: 3 million VND
13. how-to-AI Series: Unlock Potential
Day 1: WazzUp AI
Nguyễn Luật Gia Khôi
@giakhoi.nguyenluat
Nguyễn Hoàng Trung
@hoangtrung.nguyen
14. Outline
1. Break the ice
2. Introduction to How-to-AI Series: Unlock Potential
3. Introduction to AI/ML
4. What can AI/ML do ?
5. Introduction to Deep Learning
16. What is AI ?
An artificial intelligence (AI) is basically the mechanism to incorporate human
intelligence into machines through a set of rules (algorithm).
19. ANI
Artificial Narrow Intelligence
● Artificial narrow intelligence (ANI or narrow AI) refers to a computer’s ability
to perform a single task extremely well, such as crawling a webpage or
playing chess.
● Siri, Face ID and the Google Assistant, to self-driving cars, etc.
● The only form of AI that we have been able to develop so far. If you can
think about any form of AI that you know exists today, it is ANI.
23. “A year spent in artificial
intelligence is enough to make
one believe in God.”
- Alan Perlis -
24. What is Machine Learning ?
A subset of AI that uses statistical
learning algorithms to build smart
systems that can automatically learn
and improve without explicitly being
programmed.
25. Data
Data can be texts or numbers written
on papers, or it can be bytes and bits
inside the memory of electronic
devices, or it could be facts that are
stored inside a person’s mind.
26. Data in AI/ML
A good dataset? Some problems when choosing dataset ?
A good data set is one that has
either well-labeled fields and
members or a data dictionary
so you can re-label the data
yourself.
27. Data in AI/ML
A good dataset? Some problems when choosing dataset ?
● Wrong Data
● Missing Data
● Outliers in Data
● Redundancy in Data
● Unbalanced Data
● Lack of Variability in Data
39. Supervised vs Unsupervised
● Supervised learning: Learning on
labeled data. The goal is to learn a
general rule that maps inputs to
outputs
● Unsupervised learning: Learning
on unlabeled data. The goal is to
cluster the similar examples into
classes.
53. Reasons
● Training data is not cleaned and
contains noise.
● Complex model but small data set.
● Lack of features.
● The model is too simple
● Small size of dataset
For Overfitting: For Underfitting:
54. Solution
● Get/Generate more data
● Regularization
For Overfitting:
● Spend more time for preprocessing
data
● Increase the training duration
(# epochs)
● Increase model complexity
For Underfitting:
● Spend more time for feature
engineering (ML)
