What is Machine Learning?
How can you use it to make your job more efficient?
What are the necessary tools and resources you need to get started?
Explore ways you can automate various SEO tasks today!
The Search Landscape is changing. Be prepared for the future by optimizing for featured snippets, compressing images to help improve page speed, leveraging machine learning, pruning your website, refurbishing your top content, and more.
SearchLove San Diego 2019 - Britney Muller - Machine Learning: Know Enough To...Distilled
What is Machine Learning and how can we apply it to digital marketing? After this session, you'll understand machine learning basics, what ML can be used for, examples of ML solving SEO tasks and executable programs you start using immediately.
Google announced its new Hummingbird algo update, putting lots of SEOs into doubts and concerns – what should this algo change mean to you and your website? To make sure you don't get down into panic and plan your SEO strategy wisely, we've put up this short guide to explain what Hummingbird update is, how it affects your rankings and how to adapt your SEO strategy to benefit from the changes.
TechSEO Boost 2017: Fun with Machine Learning: How Machine Learning is Shapin...Catalyst
Join JR as he shares a few projects that he had been involved with in the SEO space as well as recent technologies of particular interest to SEOs. He’ll also cover recent research and share thoughts on how Google is using machine learning. SEO is a data rich realm and machine learning thrives on data. Some of the limitations involve: access to data, cost of processing, and learning curve for platforms (and platform specialization). From query semantics, anomaly detection, ontologies, to having machines write descriptions for your images, you’ll learn what is available and how to get started.
Google Hummingbird and Semantic Search - An UpdateEric Enge
Google's Hummingbird landed in September of 2013. Yet it was a soft landing with few noticing its impact, even though Google told us it impacted 90% of queries.
In this presentation at MN Search in Minneapolis, I provide an update on what's going on, and how the impact is becoming very real in 2014.
The Search Landscape is changing. Be prepared for the future by optimizing for featured snippets, compressing images to help improve page speed, leveraging machine learning, pruning your website, refurbishing your top content, and more.
SearchLove San Diego 2019 - Britney Muller - Machine Learning: Know Enough To...Distilled
What is Machine Learning and how can we apply it to digital marketing? After this session, you'll understand machine learning basics, what ML can be used for, examples of ML solving SEO tasks and executable programs you start using immediately.
Google announced its new Hummingbird algo update, putting lots of SEOs into doubts and concerns – what should this algo change mean to you and your website? To make sure you don't get down into panic and plan your SEO strategy wisely, we've put up this short guide to explain what Hummingbird update is, how it affects your rankings and how to adapt your SEO strategy to benefit from the changes.
TechSEO Boost 2017: Fun with Machine Learning: How Machine Learning is Shapin...Catalyst
Join JR as he shares a few projects that he had been involved with in the SEO space as well as recent technologies of particular interest to SEOs. He’ll also cover recent research and share thoughts on how Google is using machine learning. SEO is a data rich realm and machine learning thrives on data. Some of the limitations involve: access to data, cost of processing, and learning curve for platforms (and platform specialization). From query semantics, anomaly detection, ontologies, to having machines write descriptions for your images, you’ll learn what is available and how to get started.
Google Hummingbird and Semantic Search - An UpdateEric Enge
Google's Hummingbird landed in September of 2013. Yet it was a soft landing with few noticing its impact, even though Google told us it impacted 90% of queries.
In this presentation at MN Search in Minneapolis, I provide an update on what's going on, and how the impact is becoming very real in 2014.
Doing More with Less: Automated, High-Quality Content GenerationHamlet Batista
You're dealing with shrinking budgets, disappearing clients, and taking on the work of furloughed coworkers. How do you continue to deliver amazing results with limited time and resources?
Writing quality content that educates and persuades is still a surefire way to achieve your traffic and conversion goals. But the process is an arduous, manual job that doesn't scale.
Fortunately, the latest advances in Natural Language Understand and Generation offer some promising and exciting results.
Hamlet will walk you through what is possible right now using practical examples (and code!) that technical SEOs can follow and adapt for their business.
People generally react to machine learning in one of two ways: either with a combination of fascination and terror brought on by the possibilities that lie ahead, or with looks of utter confusion and slight embarrassment at not really knowing much about it. With the advent of RankBrain, not even higher-ups at Google can tell us exactly how some things rank above others, and the impact of machine learning on SEO is only going to increase from here. Fear not: Moz's own senior SEO scientist, Britney Muller, will talk you through what you need to know.
y Keynote Presentation from today at SMXL Milan 2019 - Loving Italy about entities and augmentation queries and question answer through building knowledge graphs.
Crafting Expertise, Authority and Trust with Entity-Based Content Strategy - ...Jamie Indigo
At SMXL, I presented a talk about crafting effective, authoritative content by understanding entities. People, places, objects, and ideas have facets. Human users have unique perspectives and their language changes as their relationship to an entity changes. It's time we stop chasing keywords-- a byproduct of search intent-- in favor of strategic entity-based strategy.
This deck includes insights into how to access the data behind Google's knowledge graph, use external links to boost the search engine's understanding, and ways to become an authoritative and trusted source.
TechSEO Boost 2017: Working Smarter: SEO Automation to Increase Efficiency & ...Catalyst
In today’s always-on world our “to do” lists never seem to shrink. Fortunately, when it comes to SEO there are ways to work faster AND better. One sure-fire way to increase efficiency and effectiveness is automation. Join Catalyst’s Paul Shapiro as he discusses specific ways to use automation to deliver better results in less time. You’ll leave with an understanding of how automation technology can simplify technical SEO processes. Audiences will learn how to:
• Leverage SQL databases to automatically collect data from Google search console over time
• Automate keyword research with an open-source tool called KNIME
• Use programming concepts, such as regex for data extraction, and work with APIs to enhance your data analysis
• Implement data visualization strategies to quickly recognize critical patterns and trends
Building an SEO Exponential Growth model by closing your content gapsRazvan Gavrilas
Content Gap Analysis, Keyword Research & Content Optimization for SEO is one of the most powerful techniques to achieve continuous SEO growth. It will allow you to discover new opportunities & optimize to achieve top rankings in Google for both existing & new content. BrightonSEO April 2019.
What is Machine Learning and how can we apply it to digital marketing? Britney Muller's SearchLeeds talk explained the machine learning basics, what ML can be used for, providing examples of ML solving SEO tasks and executable programs you can start using immediately.
BrightonSEO March 2021 | Dan Taylor, Image Entity TagsDan Taylor
My talk from BrightonSEO 2021; focusing on using Google's image category labels (glancing into the Knowledge Graph and Google's image annotation processes) for better topic research and content optimization.
Evaluation of User Experience: Inner-view to Google by Published Patents Rela...SEOzeo
Everybody talks about importance of user-experience but only few of us know what metrics Google cares. In this session, I will show inner-view to Google’s predicted perspective to measure happiness of users by ad-hocs and Google’s published patents.
SEO Checklist for Google Mobile First IndexErudite
Google will switch to a mobile 1st index in 2018. This means a HUGE opportunity for anyone in digital. SEO, CRO, UX professionals can drive performance gains for clients by making sure this work is on the schedule NOW!
databricks ml flow demonstration using automatic features engineeringMohamed MEJDOUBI
demonstration of using featuretools package to generate features / aggregates from raw relational data, and using ml flow to track entire model building & hyperparams optimization
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp
ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET
In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET
Doing More with Less: Automated, High-Quality Content GenerationHamlet Batista
You're dealing with shrinking budgets, disappearing clients, and taking on the work of furloughed coworkers. How do you continue to deliver amazing results with limited time and resources?
Writing quality content that educates and persuades is still a surefire way to achieve your traffic and conversion goals. But the process is an arduous, manual job that doesn't scale.
Fortunately, the latest advances in Natural Language Understand and Generation offer some promising and exciting results.
Hamlet will walk you through what is possible right now using practical examples (and code!) that technical SEOs can follow and adapt for their business.
People generally react to machine learning in one of two ways: either with a combination of fascination and terror brought on by the possibilities that lie ahead, or with looks of utter confusion and slight embarrassment at not really knowing much about it. With the advent of RankBrain, not even higher-ups at Google can tell us exactly how some things rank above others, and the impact of machine learning on SEO is only going to increase from here. Fear not: Moz's own senior SEO scientist, Britney Muller, will talk you through what you need to know.
y Keynote Presentation from today at SMXL Milan 2019 - Loving Italy about entities and augmentation queries and question answer through building knowledge graphs.
Crafting Expertise, Authority and Trust with Entity-Based Content Strategy - ...Jamie Indigo
At SMXL, I presented a talk about crafting effective, authoritative content by understanding entities. People, places, objects, and ideas have facets. Human users have unique perspectives and their language changes as their relationship to an entity changes. It's time we stop chasing keywords-- a byproduct of search intent-- in favor of strategic entity-based strategy.
This deck includes insights into how to access the data behind Google's knowledge graph, use external links to boost the search engine's understanding, and ways to become an authoritative and trusted source.
TechSEO Boost 2017: Working Smarter: SEO Automation to Increase Efficiency & ...Catalyst
In today’s always-on world our “to do” lists never seem to shrink. Fortunately, when it comes to SEO there are ways to work faster AND better. One sure-fire way to increase efficiency and effectiveness is automation. Join Catalyst’s Paul Shapiro as he discusses specific ways to use automation to deliver better results in less time. You’ll leave with an understanding of how automation technology can simplify technical SEO processes. Audiences will learn how to:
• Leverage SQL databases to automatically collect data from Google search console over time
• Automate keyword research with an open-source tool called KNIME
• Use programming concepts, such as regex for data extraction, and work with APIs to enhance your data analysis
• Implement data visualization strategies to quickly recognize critical patterns and trends
Building an SEO Exponential Growth model by closing your content gapsRazvan Gavrilas
Content Gap Analysis, Keyword Research & Content Optimization for SEO is one of the most powerful techniques to achieve continuous SEO growth. It will allow you to discover new opportunities & optimize to achieve top rankings in Google for both existing & new content. BrightonSEO April 2019.
What is Machine Learning and how can we apply it to digital marketing? Britney Muller's SearchLeeds talk explained the machine learning basics, what ML can be used for, providing examples of ML solving SEO tasks and executable programs you can start using immediately.
BrightonSEO March 2021 | Dan Taylor, Image Entity TagsDan Taylor
My talk from BrightonSEO 2021; focusing on using Google's image category labels (glancing into the Knowledge Graph and Google's image annotation processes) for better topic research and content optimization.
Evaluation of User Experience: Inner-view to Google by Published Patents Rela...SEOzeo
Everybody talks about importance of user-experience but only few of us know what metrics Google cares. In this session, I will show inner-view to Google’s predicted perspective to measure happiness of users by ad-hocs and Google’s published patents.
SEO Checklist for Google Mobile First IndexErudite
Google will switch to a mobile 1st index in 2018. This means a HUGE opportunity for anyone in digital. SEO, CRO, UX professionals can drive performance gains for clients by making sure this work is on the schedule NOW!
databricks ml flow demonstration using automatic features engineeringMohamed MEJDOUBI
demonstration of using featuretools package to generate features / aggregates from raw relational data, and using ml flow to track entire model building & hyperparams optimization
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp
ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET
In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET
What's AGI? How is it different from an Agent or an AI Assistant? If you're looking to understand how AI Agents/AGI can help your company, check this out.
This article is about using Serverless platform OpenWhisk. The example shows how to do auto retweeting in Python to illustrate an application of serverless approach. Originally published in October 2017 edition of Open Source For You magazine - shared under CC BY SA-3.0 License.
Nowadays the Web is not the only way to interact with the Users. The shifting to Mobile first and now towards Bots, will shape the industry in the next years. The talk will illustrate, hands-on, how to start building your own bot, for both Facebook and Alexa. And by doing so, how you will have to structure your project, design your application and build a set of API. Re-shaping how you build your software, for the challenges ahead.
Machine Learning Platformization & AutoML: Adopting ML at Scale in the Enterp...Ed Fernandez
Adoption of ML at scale in the Enterprise, Machine Learning Platforms & AutoML
[1] Definitions & Context
• Machine Learning Platforms, Definitions
• ML models & apps as first class assets in the Enterprise
• Workflow of an ML application
• ML Algorithms, overview
• Architecture of a ML platform
• Update on the Hype cycle for ML & predictive apps
[2] Adopting ML at Scale
• The Problem with Machine Learning - Scaling ML in the
Enterprise
• Technical Debt in ML systems
• How many models are too many models
• The need for ML platforms
[3] The Market for ML Platforms
• ML platform Market References - from early adopters to
mainstream
• Custom Build vs Buy: ROI & Technical Debt
• ML Platforms - Vendor Landscape
[4] Custom Built ML Platforms
• ML platform Market References - a closer look
Facebook - FBlearner
Uber - Michelangelo
AirBnB - BigHead
• ML Platformization Going Mainstream: The Great Enterprise Pivot
[5] From DevOps to MLOps
• DevOps <> ModelOps
• The ML platform driven Organization
• Leadership & Accountability (labour division)
[6] Automated ML - AutoML
• Scaling ML - Rapid Prototyping & AutoML:
• Definition, Rationale
• Vendor Comparison
• AutoML - OptiML: Use Cases
[7] Future Evolution for ML Platforms
Appendix I: Practical Recommendations for ML onboarding in the Enterprise
Appendix II: List of References & Additional Resources
AI & ML: Although it has been around for a long time, artificial intelligence was once thought to be incredibly challenging. It was typical for scientists and developers to avoid examining utilising it.
To know more about, Top AI & ML tools and frameworks, see https://www.logic-fruit.com/blog/al-ml/top-ai-ml-tools-and-frameworks/
About Logic Fruit Technologies
Logic Fruit Technologies is a product engineering R&D & consulting services provider for embedded systems and application development. We provide end-to-end solutions from the conception of the idea and design to the finished product. We have been servicing customers globally for over a decade.
The company has specific experience in various fields, such as
FPGA Design & hardware design
RTL IP Design
A variety of digital protocols
Communication buses as1G, 10G Ethernet
PCIe
DIGRF
STM16/64
HDMI.
Logic Fruit Technologies is also an expert in developing,
software-defined radio (SDR) IPs
Encryption
Signal generation
Data analysis, and
Multiple Image Processing Techniques.
Recently Logic Fruit technologies are also exploring FPGA acceleration on data centers for real-time data processing.
**Our Social Media Channels**
Facebook: https://www.facebook.com/LogicFruit/
Twitter: https://twitter.com/logicfruit
LinkedIn: https://www.linkedin.com/company/logi…
Website: https://www.logic-fruit.com/
#LFT #LogicFruitTechnologies #LogicFruit
Interested to view more SlideShares, Click on the below links,
https://www.slideshare.net/LogicFruit/a-designers-practical-guide-to-arinc-429-standard-3pptx
https://www.slideshare.net/LogicFruit/a-swift-introduction-to-milstd
https://www.slideshare.net/LogicFruit/arinc-the-ultimate-guide-to-modern-avionics-protocol/LogicFruit/arinc-the-ultimate-guide-to-modern-avionics-protocol
https://www.slideshare.net/LogicFruit/arinc-629-digital-data-bus-specifications/LogicFruit/arinc-629-digital-data-bus-specifications
https://www.slideshare.net/LogicFruit/afdx
https://www.slideshare.net/LogicFruit/end-system-design-parameters-of-the-arinc-664-part-7
https://www.slideshare.net/LogicFruit/compute-express-link-cxl-everything-you-ought-to-know
https://www.logic-fruit.com/blog/fpga/what-is-fpga/
https://www.slideshare.net/LogicFruit/cxl-vs-pcie-gen-5-the-brief-comparison
https://www.slideshare.net/LogicFruit/fpga-technology-development-and-market-trends-in-the-new-decade
https://www.slideshare.net/LogicFruit/fpga-design-an-ultimate-guide-for-fpga-enthusiasts
https://www.slideshare.net/LogicFruit/fpga-vs-asic-design-comparison
https://www.slideshare.net/LogicFruit/afdx-a-timedeterministic-application-of-arinc-664-part-7
https://www.slideshare.net/LogicFruit/fpgas-expansion-in-adas-autonomous-driving
https://www.slideshare.net/LogicFruit/take-a-step-ahead-with-an-upgrade-to-arinc-818-revision-3-avionics-digital-video-bus
https://www.slideshare.net/LogicFruit/arinc-8182-standard-overview-and-its-characteristics
MLSEV Virtual. ML Platformization and AutoML in the EnterpriseBigML, Inc
Machine Learning Platformization and AutoML in the Enterprise, by Ed Fernández, Board Director at Arowana International.
This presentation focuses on the adoption of Machine Learning platforms and AutoML in the Enterprise, the challenges around DevOps and MLOps, latest market trends, future evolution and the impact of AutoML for rapid prototyping of Machine Learning models.
*MLSEV 2020: Virtual Conference.
Machine Learning and Python For Marketing Automation | MKGO October 2019 | Ru...Ruth Everett
Advancements to Machine Learning are changing the game for busy marketers, with automation possibilities from personalised messaging and content creation to social listening and predictive analysis available.
We've known for years that data-driven content was a 'thing' when we'd produce simple infographics that shared a few statistics and they'd get easy traction for us online. The game has lifted and consumers are becoming more and more obsessed with data and are now demanding higher quality and more complex data-driven content. The challenge for us now as "T-Shaped" marketers is that there are increasing demands for us to learn new skills to produce this content but we don't have the time to do this amongst the other things we need to be expert at.
This presentation is going to give you specific help on how to produce data-driven content without any programming skill. After watching this presentation you'll have the confidence to build your own data-driven content with the knowledge of:
- blueprints for data-driven content ideas
- scraping tools, frameworks and methodologies
- how to brief in a data scraping project to your in-house team or a freelancer
- how to turn your data into visually appealing content
- channels for promoting data-driven content to ensure it gets traction
Artificial Artificial Intelligence: Using Amazon Mechanical Turk and .NET to ...goodfriday
Amazon Mechanical Turk is a new Web service that allows .NET software developers to incorporate the power of human decision-making into their automated software systems
Machine Learning for Marketers - CTAConf 2019Britney Muller
Explore CTAConf's Marketing IQ theme with a layer of AI.
You don't have to be a data scientist to think of the next genius ML application!!! ANYONE CAN!
Machine Learning is power at your fingertips! Learn more about how you can apply Machine Learning to your day to day life here.
Machine Learning for Non-Technical People - Turing Fest 2019Britney Muller
Machine Learning/AI is becoming more and more accessible and will free you up to work on higher level thinking.
ANYONE can come up with the next big ML/AI application.
What will you solve?
Machine Learning for SEOs - SearchLeeds - Britney MullerBritney Muller
Machine Learning is becoming more and more accessible and will free up our time to work on more strategic tasks!!! Start exploring your ML opportunities today with these tools!
Machine Learning For SEOs - TechSEOBoost 2018Britney Muller
ATTN: Digital Marketers!!! Why you should care about Machine Learning:
1. It already affects the work that you're doing.
2. You should be able to speak intelligently about it.
3. It powers up your arsenal 10 fold.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
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.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Sectors of the Indian Economy - Class 10 Study Notes pdf
ML & Automation in SEO - Traffic Think Tank Conference 2019
1. Machine Learning & Automation In SEO
Britney Muller
Senior Data Scientist @ Moz
2. #TTTLIVE19
74%
of online consumers get
frustrated when content
appears that has
nothing to do with
their interests.
1. It already effects the work that you do.
2. You should be able to speak intelligently about it.
3. Level up by adding it to your arsenal.
Why You Should Care About ML:
–
20. #TTTLIVE19
What is Machine Learning?
•Machine Learning is a subset of AI that
combines statistics & programming to give
computers the ability to “learn” without
explicitly being programmed.
39. #TTTLIVE19
@jroakes @GraysonParks
Grayson Parks
Writer, programmer, constant learner.
Digital marketer, husband, golden
retriever owner. Words and data are
my passions. #SEO @AdaptPartners
GraysonParks.com
JR Oakes
Love working with smart people
on smart things. Tech SEO
Director at @adaptpartners
codeseo.io
41. #TTTLIVE19
1. Assist with deploying AWS Lambda. --Several steps will affect the cost & security.
2. Extract the content of the webpage using the library Goose3 (a Python library w/BeautifulSoup).
3. Summarize the content using summa (or another summarizing library/model)
4. Create a Lambda Function.
a. Package the files for AWS Lambda & install the dependencies (in this case Goose3 and
summa, etc) into a folder along with what is called a handler file. The handler file is what
Lambda calls to run your script.
b. Here is the packaged Lambda function (including the dependencies):
https://s3.amazonaws.com/ap-lambda-functions/meta_summa.zip
5. Once the zip file is deployed to AWS as a Lambda function, you should get a URL to access the API
that looks like:
https://XXXXXXXX.execute-api.us-east-1.amazonaws.com/v1/ap_meta_descriptions
Find a developer familiar with AWS to:
42. #TTTLIVE19
function pageDescription(url, length) {
if (typeof length == 'undefined' || !length || length < 1){
var endpoint = 'https://XXXXXXXX.execute-api.us-east-1.amazonaws.com/v1/ap_meta_descriptions?url=' + url;
}else{
var endpoint = 'https://XXXXXXXX.execute-api.us-east-1.amazonaws.com/v1/ap_meta_descriptions?url=' + url + "&len="
+ length;
}
var response = UrlFetchApp.fetch(endpoint);
var text = response.getContentText();
var data = JSON.parse(text);
if (data){
return data.meta_description
}
}
Copy & Paste like a badass in GSheets! =pageDescription(A2, 150)
54. #TTTLIVE19
Finding ranking opportunities
Title tag optimization
Keyword opportunity gaps
Client reports
Finding common question opportunities
Content creation
Log file analysis
Parsing text into entities (insurance ex)
GSC data analysis
Rich customer understanding
Traffic predictions
Ranking factor probabilities
User engagement insights
Marketplace Creation
Other SEO Opportunities with Machine Learning:
56. #TTTLIVE19
Collect & clean dataset
Build your model
Train
Evaluate
Predict
Most of the work
A few lines of code
One line
One line
One line
Steps To Build Your First ML Model:
63. #TTTLIVE19
CPU > GPU > FPGAs > TPU
Flexibility< ------------------------------------------- > Power
64. #TTTLIVE19
Search ‘Harvard CS109’ in GitHub
Google CodeLabs – Break things!!!
Colab Notebooks OR Jupyter Notebooks
Learn With Google AI
Image-net.org (don’t forget it’s racist tho!)
Kaggle
Getting Started Resources
65. #TTTLIVE19
Yearning Learning (free book preview
by Andre Ng)
Neural Networks & Deep Learning
Correlation vs Causation (by Dr. Pete!)
Exploring Word2Vec
The Zipf Mystery
BigML
Targeting Broad Queries in Search
Project Mosaic Books
How to eliminate bias in data driven
marketing
TensorFlow Dev Summit 2018
[videos]
NLP Sentiment Analysis
Talk 2 Books
The Shallowness of Google
Translate
TF-IDF
LSI
LDA
Learn Python
Massive Open Online Courses
Coursera Machine Learning
RAY by Professors at UC
Berkeley
Advanced Resources
66. #TTTLIVE19
What did we learn?
➢ Machine Learning combines statistics & programming
➢ A model is only as good as its training data!!!!
➢ Avoid overfitting.
➢ YOU can create a ML model today!!!
➢ ML will help scale SEO tasks & allow us to evolve as SEOs
What is the bottleneck for ML? Data? Compute Power? People?
Michael Jordan from UC Berkeley talked about how ML will create new Marketplaces!
LIVE DEMOOOOOOO
Mention data drift and how models need to be maintained over time.
Photo of paul shapiro TTT video?
KNIME & auto 301 redirects!!!! + Jon Cooper has some really cool shit on TTT vids too
AI Computation has doubled every 3.5 months!!! – Yifeng Lu @ Google Brain 300,000X that of in 2012
The notion of ”disposable AI” is WILDDDD – xnor.ai are doing incredible things!