How Functional Programming Made Me A Better DeveloperCameron Presley
With the rise in popularity recently, functional programming has become "The Next Big Thing". As of today, there are tons of frameworks and tools that can be used to for front-end, back-end, desktop, and mobile development. With that being said, the majority of us are still using object-oriented languages for our day jobs and don't need to learn functional programming, right?
In this talk, I'll walk you through my experiences learning functional programming over the last year, how my style of programming has changed, and now how I think about programming with regards to both functional and object-oriented paradigms.
Purpose of this presentation is to highlight how end to end machine learning looks like in real world enterprise. This is to provide insight to aspiring data scientist who have been through courses or education in ML that mostly focus on ML algorithms and not end to end pipeline.
Architecture and components mentioned in Slide 11 will be discussed in detailed in series of post on LinkedIn over the course of next few month
To get updates on this follow me on LinkedIn or search/follow hashtag #end2endDS. Post will be active in August 2019 and will be posted till September 2019
How Functional Programming Made Me A Better DeveloperCameron Presley
With the rise in popularity recently, functional programming has become "The Next Big Thing". As of today, there are tons of frameworks and tools that can be used to for front-end, back-end, desktop, and mobile development. With that being said, the majority of us are still using object-oriented languages for our day jobs and don't need to learn functional programming, right?
In this talk, I'll walk you through my experiences learning functional programming over the last year, how my style of programming has changed, and now how I think about programming with regards to both functional and object-oriented paradigms.
Purpose of this presentation is to highlight how end to end machine learning looks like in real world enterprise. This is to provide insight to aspiring data scientist who have been through courses or education in ML that mostly focus on ML algorithms and not end to end pipeline.
Architecture and components mentioned in Slide 11 will be discussed in detailed in series of post on LinkedIn over the course of next few month
To get updates on this follow me on LinkedIn or search/follow hashtag #end2endDS. Post will be active in August 2019 and will be posted till September 2019
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It’s a simple concept, a new user is added and an email is triggered to let them know what to do to get started with the application. But is it that simple? There is so much to consider before creating that email. What does the email look like? How do you code the html? Why does it look different in every email client? How do we keep track of all the different emails going out? What is the tone of voice in the copy? What are the other triggers that call for an email to be sent to the user? What about translating the emails? How can we structure templates to make them translated easily?
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Not only 10 blue links can drive you traffic anymore, Google has added many so called Knowlegde cards and panels to answer the specific informational need of their users. Sounds complicated, but it isn’t. If you ask for information, Google will try to answer it within the result pages.
I'll share my research from a theoretical point of view through exploring patents and papers, and actual testing cases in the live indices of Google. Getting your site listed as the source of an Answer Card can result in an increase of CTR as much as 16%. How to get listed? Come join my session and I'll shine some light on the factors that come into play when optimizing for Google's Knowledge graph.
In this latest installment of the O365 Productivity Tips series, Tom Duff (@duffbert) and Christian Buckley (@buckleyplanet) return with another head-to-head battle of the Microsoft Office and Office 365 productivity hints and tips, recorded May 26th, 2020 with viewers voting on each round.
Follow us on Twitter for future webinars and sessions where we'll share more great tips, and be sure to follow the CollabTalk YouTube channel at https://youtube.com/c/collabtalk
Presentation that I gave at the August Ruby Meetup at ODEO in San Francisco. A bit light on content as most of the presentation was a live coding session.
JDO 2019: Data Science for Developers - Matthew RenzePROIDEA
Data science is revolutionizing the world around us. We’re incorporating artificial intelligence, machine learning, and data-driven decision making into all aspects of business. However, many software developers have yet to learn how to leverage these practices to create better software. In this presentation, we’ll learn how expert developers are using data science to create better software. We’ll learn how to use data analytics, machine learning, and anticipatory design to create more intelligent software. In addition, we’ll learn how to use data from our dev-ops pipeline to improve our software development practices.
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By @mrjoe http://mrjoe.uk
The poet John Keats famously blamed scientists experimenting with light for 'unweaving the magic of the rainbow'.
Joe will look at applying science to design to make our apps and websites better.
We'll look at different types of data, from user research and analytics, to psychology. How to research, collect, source, asses and most importantly design using data without losing the magic.
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Session slides from Future Insights Live, Vegas 2015:
https://futureinsightslive.com/las-vegas-2015/
The poet John Keats famously blamed scientists experimenting with light for 'unweaving the magic of the rainbow'. Joe will look at applying science to design to make our apps and websites better. We'll look at different types of data, from user research and analytics, to psychology and multi-variant testing. How to research, collect, source, asses and most importantly design using data without losing the magic.
Presented at the 2016 Community Engaged Research Institute. How researchers can cut down on the tedium of their work by using tech tools and cultivating a practice of automation
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A website gives associations access to data that makes old school direct marketers salivate. But many organizations find themselves getting bogged down in producing graphs every month, obsessing over drops in pageviews, throwing their hands up on the air, and deciding they dont have enough resources to maintain this kind of analytics analysis. Stop obsessing about the small stuff, and start learning about creating a goal-oriented, actionable analytics plan that can help your website thrive.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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Lists are used as the core of many things SharePoint but they are rarely used as well as they can be. Learn the top tips and tricks for getting the most of your lists: How to build them smarter, how to display them more clearly, and how to use them in your environment for effectively. Also see how these practices evolve from 2007 to 2010.
It’s a simple concept, a new user is added and an email is triggered to let them know what to do to get started with the application. But is it that simple? There is so much to consider before creating that email. What does the email look like? How do you code the html? Why does it look different in every email client? How do we keep track of all the different emails going out? What is the tone of voice in the copy? What are the other triggers that call for an email to be sent to the user? What about translating the emails? How can we structure templates to make them translated easily?
What is the current status quo of the Semantic Web as first mentioned by Tim Berners Lee in 2001?
Not only 10 blue links can drive you traffic anymore, Google has added many so called Knowlegde cards and panels to answer the specific informational need of their users. Sounds complicated, but it isn’t. If you ask for information, Google will try to answer it within the result pages.
I'll share my research from a theoretical point of view through exploring patents and papers, and actual testing cases in the live indices of Google. Getting your site listed as the source of an Answer Card can result in an increase of CTR as much as 16%. How to get listed? Come join my session and I'll shine some light on the factors that come into play when optimizing for Google's Knowledge graph.
In this latest installment of the O365 Productivity Tips series, Tom Duff (@duffbert) and Christian Buckley (@buckleyplanet) return with another head-to-head battle of the Microsoft Office and Office 365 productivity hints and tips, recorded May 26th, 2020 with viewers voting on each round.
Follow us on Twitter for future webinars and sessions where we'll share more great tips, and be sure to follow the CollabTalk YouTube channel at https://youtube.com/c/collabtalk
Presentation that I gave at the August Ruby Meetup at ODEO in San Francisco. A bit light on content as most of the presentation was a live coding session.
JDO 2019: Data Science for Developers - Matthew RenzePROIDEA
Data science is revolutionizing the world around us. We’re incorporating artificial intelligence, machine learning, and data-driven decision making into all aspects of business. However, many software developers have yet to learn how to leverage these practices to create better software. In this presentation, we’ll learn how expert developers are using data science to create better software. We’ll learn how to use data analytics, machine learning, and anticipatory design to create more intelligent software. In addition, we’ll learn how to use data from our dev-ops pipeline to improve our software development practices.
How to design with science and not destroy the magicJoe Leech
By @mrjoe http://mrjoe.uk
The poet John Keats famously blamed scientists experimenting with light for 'unweaving the magic of the rainbow'.
Joe will look at applying science to design to make our apps and websites better.
We'll look at different types of data, from user research and analytics, to psychology. How to research, collect, source, asses and most importantly design using data without losing the magic.
How to design with science: and not destroy the magic (Joe Leech)Future Insights
Session slides from Future Insights Live, Vegas 2015:
https://futureinsightslive.com/las-vegas-2015/
The poet John Keats famously blamed scientists experimenting with light for 'unweaving the magic of the rainbow'. Joe will look at applying science to design to make our apps and websites better. We'll look at different types of data, from user research and analytics, to psychology and multi-variant testing. How to research, collect, source, asses and most importantly design using data without losing the magic.
Presented at the 2016 Community Engaged Research Institute. How researchers can cut down on the tedium of their work by using tech tools and cultivating a practice of automation
Data Data Everywhere: Drowning in a Sea of AnalyticsMegan Denhardt
A website gives associations access to data that makes old school direct marketers salivate. But many organizations find themselves getting bogged down in producing graphs every month, obsessing over drops in pageviews, throwing their hands up on the air, and deciding they dont have enough resources to maintain this kind of analytics analysis. Stop obsessing about the small stuff, and start learning about creating a goal-oriented, actionable analytics plan that can help your website thrive.
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3. Practical demonstrations
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What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
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A model is class that represents a logical structure and associated database table. In other words, models manage data.
EE has a number of models already there, like Channel, ChannelEntry, Member, Template, etc.
- Create an Entry
system/ee/EllisLab/ExpressionEngine/Controller/Publish/Publish.php
- Read a Member
system/ee/EllisLab/ExpressionEngine/Controller/Members/Members.php
- Get a File with Relationship
system/ee/EllisLab/ExpressionEngine/Controller/Files/Files.php
Let’s help E720 change their site so people can upvote and downvote their content
### Create our Data and DB Tables
- Models don't create your database tables by default, so we'll need to use the DBForge to create them.
1. Map our data first
2. Create schema in `upd` file
### Create our Data and DB Tables
- Models don't create your database tables by default, so we'll need to use the DBForge to create them.
1. Map our data first
2. Create schema in `upd` file
### Initiate Our Model
Models are registerd in your addon.setup.php file
Add it to your add-on setup
1. `models` array
2. Lots of ways to extend this, we'll go through one way later
### Initiate Our Model
Models are registerd in your addon.setup.php file
Add it to your add-on setup
1. `models` array
2. Lots of ways to extend this, we'll go through one way later
### Scaffolding
- Let's look at the basics of the model
1. Extend the EE Model class
2. Primary Key and Table Name are required
3. Protected Elements of the Model are your data points
### Let's Make it CRUDdy!
1. `votes` method: Reading the votes, Creating a new one
2. `cast_vote` method: Updating the votes
### Relationships
- By nature of our Votes model, it's connected to a ChannelEntry.
- Only problem is that we have not defined this relationship, so we would need multiple DB calls to get it.
- Relationships relate entries
1. Define the relationship
2. Define the inverse (addon.setup and Vote model)
3. `top` method: Getting entries by the top voted
## What Else Can Models Do?
- Events (i.e. update another model when your model is updated)
- Validation (i.e. check to make sure data coming in is good and will save)
- Metadata (i.e. setting variables re: whether model was updated)
- Relationships with pivot tables (i.e. tagging entries, multiple entries can have multiple tags)
- Collections (manage multiple items in your data)