The document discusses the basics of data and AI. It explains that data contains rows and columns, with each row representing an example for the AI to train on. Features describe the examples, while labels categorize them. It provides an example of using text data describing feelings as features to train a model to predict if a feeling is happy or sad. The document also defines an AI service as a program that takes new questions or data as input and uses a pre-trained model to generate predictions or answers that can be used by an application.
Adam Wesolowski "How to start working on growth?"IT Event
Not every startup should work on growth, it all depends on the stage you’re at. Growth consists of processes, people and tools and during this talk Adam tells you what is it all about and how to start working on your growth.
Machine learning applications nurturing growth of various business domainsShrutika Oswal
Machine learning is a science in which machines are becoming smarter and helping humans to make the best decisions based on previous data recommended practices. This technique is not new but is occupying fresh momentum. Machine Learning Algorithm learns from the previous records and analyses the data. Without any human interrupt, it will generate its own recommendation. A machine will add that recommendation as experience in its database and use it for further processing. In short, the machine learns from its own experience and gives you better and better output.
Machine learning is an iterative process as the more data added to machines learn from fresh feeds of data and then independently adapt new features to handle new data without constant human intervention. Machine learning was earlier used to predict what’s happing with the business but now the machine learning algorithm will suggest what action needs be taken by moving our business forward.
This PowerPoint presentation presents the results of a literature survey of machine learning applications nurturing the growth of various business domains. More specifically, it gives a brief introduction of Machine Learning, four major types of Machine Learning, enhancement in various business domains by the use of various machine learning algorithms.
How To Leverage AI to Triple Your Marketing Newsletter ReadershipLearnhomebusiness.com
How creators should be thinking about a world with generative AI. An AI tool that shows people how to create email newsletters that shape them into something truly awesome.
Adam Wesolowski "How to start working on growth?"IT Event
Not every startup should work on growth, it all depends on the stage you’re at. Growth consists of processes, people and tools and during this talk Adam tells you what is it all about and how to start working on your growth.
Machine learning applications nurturing growth of various business domainsShrutika Oswal
Machine learning is a science in which machines are becoming smarter and helping humans to make the best decisions based on previous data recommended practices. This technique is not new but is occupying fresh momentum. Machine Learning Algorithm learns from the previous records and analyses the data. Without any human interrupt, it will generate its own recommendation. A machine will add that recommendation as experience in its database and use it for further processing. In short, the machine learns from its own experience and gives you better and better output.
Machine learning is an iterative process as the more data added to machines learn from fresh feeds of data and then independently adapt new features to handle new data without constant human intervention. Machine learning was earlier used to predict what’s happing with the business but now the machine learning algorithm will suggest what action needs be taken by moving our business forward.
This PowerPoint presentation presents the results of a literature survey of machine learning applications nurturing the growth of various business domains. More specifically, it gives a brief introduction of Machine Learning, four major types of Machine Learning, enhancement in various business domains by the use of various machine learning algorithms.
How To Leverage AI to Triple Your Marketing Newsletter ReadershipLearnhomebusiness.com
How creators should be thinking about a world with generative AI. An AI tool that shows people how to create email newsletters that shape them into something truly awesome.
This presentation describes simple steps to get from a problem statement to an AI. How to find the right AI type for each problem, how to do basic feature engineering, and how to select an algorithm.
AI will augment our humanity—it will give each of us “superpowers” to meet challenges of all kinds—including some of our biggest ones.. All around the world, the Artificial Intelligence and Research team is leading the way, working to fulfill our mission—to empower every person and every organization on the planet to achieve more—with AI.
Svm and maximum entropy model for sentiment analysis of tweetsS M Raju
From millions of online websites and social medias, millions of texts are generated basis on several issues and factors such as stories, discussions, decisions, blogs, feedback, twitter, postings etc. on daily basis. These data of texts have been reshaping corporations for analyzing their services, impacts of public sentiments, public emotions etc. These data are great opportunity to impact our social and political views and methods. But to analyses these vast datasets are not easy. Several researches and algorithms have been developed over these as sentiment analysis and opinion mining. For our project, our subject texts are collected from twitter. These tweets will be extracted as texts and filtered as plain texts, which will feed the process of sentiment analysis. During the process, the content as well as the texts is classified into several polarity measures as positive, negative and neutral. Here in this experiment, SVM and Maximum entropy algorithms will be used regarding the sentiment analysis to test their accuracy.
Email AI solution template provides ready-to-use components for users can quickly build solutions to process emails in bulk. The components include ML models, sample datasets, RPA workflows, analytics templates and human-in-the-loop technology. Email AI automatically detects intent in emails, identifies urgent and high-value emails, extracts important information and shows the impact of AI-enhanced automations on a dashboard.
Agenda:
- What is Email AI solution template?
- What problems does Email AI solve?
- How does it work?
- Best practices of building Email AI solutions
Speaker: Vishal Motwani, Principal Product Manager AI & Machine Learning @UiPath
This session streamed live on January 18, 2022, 14:00 GMT.
Check our upcoming events or past sessions at:
https://community.uipath.com/events/
Contact us at: community@uipath.com
Do you want to teach your students how to conduct research, write a speech, and present information using a visual aid? This is the first presentation in a series of lessons on this topic
Machine learning is a sub-field of artificial intelligence (AI) that focuses on creating statistical models and algorithms that allow computers to learn and become more proficient at performing particular tasks. Machine learning algorithms create a mathematical model with the help of historical sample data, or “training data,” that assists in making predictions or judgments without being explicitly programmed.
Machine learning is a sub-field of artificial intelligence (AI) that focuses on creating statistical models and algorithms that allow computers to learn and become more proficient at performing particular tasks.
Drive App Discoverability and Downloads with ASOApptentive
Did you know App Store Optimization (ASO) is responsible for driving 68% of all new app discoveries? It also helps drive revenue and conversion by encouraging downloads, updates, and in-app purchases.
Laura Eccles, the Founder of Matchstick Mobile and the first hire on the App Store Marketing team at Apple, and Emily Carrion, the Head of Marketing at Apptentive, cover how to increase organic downloads via ASO, improve app engagement or get featured on the App Store in this webinar presentation.
You’ll learn:
-How to improve app store discovery
-How you can use ASO to drive conversion
-The anatomy of a top 100 app
-Tips and checklists for implementing ASO strategies
-How to track your app store rank
This presentation describes simple steps to get from a problem statement to an AI. How to find the right AI type for each problem, how to do basic feature engineering, and how to select an algorithm.
AI will augment our humanity—it will give each of us “superpowers” to meet challenges of all kinds—including some of our biggest ones.. All around the world, the Artificial Intelligence and Research team is leading the way, working to fulfill our mission—to empower every person and every organization on the planet to achieve more—with AI.
Svm and maximum entropy model for sentiment analysis of tweetsS M Raju
From millions of online websites and social medias, millions of texts are generated basis on several issues and factors such as stories, discussions, decisions, blogs, feedback, twitter, postings etc. on daily basis. These data of texts have been reshaping corporations for analyzing their services, impacts of public sentiments, public emotions etc. These data are great opportunity to impact our social and political views and methods. But to analyses these vast datasets are not easy. Several researches and algorithms have been developed over these as sentiment analysis and opinion mining. For our project, our subject texts are collected from twitter. These tweets will be extracted as texts and filtered as plain texts, which will feed the process of sentiment analysis. During the process, the content as well as the texts is classified into several polarity measures as positive, negative and neutral. Here in this experiment, SVM and Maximum entropy algorithms will be used regarding the sentiment analysis to test their accuracy.
Email AI solution template provides ready-to-use components for users can quickly build solutions to process emails in bulk. The components include ML models, sample datasets, RPA workflows, analytics templates and human-in-the-loop technology. Email AI automatically detects intent in emails, identifies urgent and high-value emails, extracts important information and shows the impact of AI-enhanced automations on a dashboard.
Agenda:
- What is Email AI solution template?
- What problems does Email AI solve?
- How does it work?
- Best practices of building Email AI solutions
Speaker: Vishal Motwani, Principal Product Manager AI & Machine Learning @UiPath
This session streamed live on January 18, 2022, 14:00 GMT.
Check our upcoming events or past sessions at:
https://community.uipath.com/events/
Contact us at: community@uipath.com
Do you want to teach your students how to conduct research, write a speech, and present information using a visual aid? This is the first presentation in a series of lessons on this topic
Machine learning is a sub-field of artificial intelligence (AI) that focuses on creating statistical models and algorithms that allow computers to learn and become more proficient at performing particular tasks. Machine learning algorithms create a mathematical model with the help of historical sample data, or “training data,” that assists in making predictions or judgments without being explicitly programmed.
Machine learning is a sub-field of artificial intelligence (AI) that focuses on creating statistical models and algorithms that allow computers to learn and become more proficient at performing particular tasks.
Drive App Discoverability and Downloads with ASOApptentive
Did you know App Store Optimization (ASO) is responsible for driving 68% of all new app discoveries? It also helps drive revenue and conversion by encouraging downloads, updates, and in-app purchases.
Laura Eccles, the Founder of Matchstick Mobile and the first hire on the App Store Marketing team at Apple, and Emily Carrion, the Head of Marketing at Apptentive, cover how to increase organic downloads via ASO, improve app engagement or get featured on the App Store in this webinar presentation.
You’ll learn:
-How to improve app store discovery
-How you can use ASO to drive conversion
-The anatomy of a top 100 app
-Tips and checklists for implementing ASO strategies
-How to track your app store rank
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
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Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
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.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
4. The Basics of Data
Columns
Rows
Sample
Each row is an Example for
the AI to Train with
Feature Label
5. The Basics of Data
Features Labels
Features can come in many types
(numbers, categories, text etc.)
Common real life examples take 100s
to 1000s of features!
Each dataset has
only one Label
column
Samples
Each row is an
Example for
the AI to Train
with
Number of
Countries Visited
Number of Years
in School
Height
(Feet)
Who am I?
20 15 5.2 Adult
2 3 3.5 Child
10 12 4.9 Adult
7. Example: Use AI to Guess a Person’s Mood
Training: Use text data
describing feelings for happy or
sad. Develop a model.
Examples of
happy and sad
8. Example: Use AI to Guess a Person’s Mood
Training: Use text data
describing feelings for happy or
sad. Develop a model.
Examples of
happy and sad
Question ‘sentence’ This is called a feature
Answers ‘feeling’ This is called a label
10. AI Basics
Training : Use data to develop a ML model.
Model : A formula learned from the data
that can be used to predict new outcomes.
Inference/Prediction : Using the model
to answer new questions.
11. Training : Use data on feelings for happy or
sad. Develop a model
Model : Learn how to map feelings to
“Happy” or “Sad”
Inference/Prediction : Provide a new
feeling “example – I am feeling great!”.
Predict that this is “Happy”
Example: Use AI to Guess a Person’s Mood
13. What is an AI Service?
• An AI Service is a program that
takes questions (new data) and
uses a model to create answers
(predictions)
14. What is an AI Service?
• An AI Service is a program that
takes questions (new data) and
uses a model to create answers
(predictions)
• An AI service connects with your
application
• Application sends questions
• AI service sends back
predictions/answers
Application uses the answers
15. What is an AI Service?
• An AI Service is a program that
takes questions (new data) and
uses a model to create answers
(predictions)
• An AI service connects with your
application
• Application sends questions
• AI service sends back
predictions/answers
Application uses the answers
