The document provides an overview of a presentation on machine learning for marketers. It discusses concepts like machine learning doomsday scenarios, the differences between machine learning, deep learning and AI, and various marketing use cases for machine learning like predictive analytics, personalization, and natural language processing. It also covers specific tools that can help marketers get started with machine learning like MonkeyLearn and Orange, and provides examples of applying different machine learning techniques and models to a sample iris petal dataset for classification tasks.
Perfect Starts: How to Get the Right Traffic with a Content AuditMichael King
Mike King's Authority Rainmaker presentation about how to perform the world's greatest content audit using quantitative and qualitative research techniques.
Perfect Starts: How to Get the Right Traffic with a Content AuditMichael King
Mike King's Authority Rainmaker presentation about how to perform the world's greatest content audit using quantitative and qualitative research techniques.
SearchLove San Diego 2017 | Michael King | Machine DoingDistilled
Machine learning is a concept that has is turning science fiction into real technology today. However, the applications of this technology seem daunting to marketers. In this talk, Mike King shares how marketers can take advantage of machine learning using ready made tools and tactics without knowing how to code.
What do you need to think about before bringing advanced technology into your community, library or organization? How do you introduce it to staff? Will they worry about being replaced or losing their jobs? And how do you get machines to operate at optimal efficiency? Machines need to learn to be effective, whether it’s Siri, Alexa, or Watson. And people have to adapt to the machines. Join us and learn more!
How to use Artificial Intelligence with Python? EdurekaEdureka!
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
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AI - Artificial Intelligence - Implications for LibrariesBrian Pichman
What does the world of AI (artificial intelligence) mean for libraries? Can AI replace library services or how can libraries leverage the technology for more streamlined services. From Smart Houses, to Robots, to technology yet to be mainstreamed, this session will cover it all to help you better prepare and plan for the future.
AI for Beginners - SWFLN Makerpalooza - Session 1Brian Pichman
This session explores what artificial intelligence (AI) is and the everyday use cases for AI. It’s an introductory look at how various industries, including libraries, use AI for operational efficiencies, enhanced services, and more.
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.
Artificial Intelligence with Python | EdurekaEdureka!
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Differences Between Machine Learning Ml Artificial Intelligence AI And Deep L...SlideTeam
Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/2zFJeSC
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...SlideTeam
"You can download this product from SlideTeam.net"
Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/325zI9o
How to Use Artificial Intelligence to Grow Your BusinessSIXTY
Are you interested in learning how to use Artificial Intelligence and Machine Learning for business? If so, then be sure to download this information-packed PDF based on a presentation made by internationally recognized author, speaker, and network TV news contributor Jamie Turner.
El 6 de junio 2019 celebramos, junto al Instituto de Empresa y We Are Marketing, el evento “Viaje al futuro del turismo”.
En él contamos con la presencia de diferentes expertos del sector turismo para compartir su visión sobre todos los cambios que están por venir y las claves para superarlos con éxito.
SearchLove San Diego 2017 | Michael King | Machine DoingDistilled
Machine learning is a concept that has is turning science fiction into real technology today. However, the applications of this technology seem daunting to marketers. In this talk, Mike King shares how marketers can take advantage of machine learning using ready made tools and tactics without knowing how to code.
What do you need to think about before bringing advanced technology into your community, library or organization? How do you introduce it to staff? Will they worry about being replaced or losing their jobs? And how do you get machines to operate at optimal efficiency? Machines need to learn to be effective, whether it’s Siri, Alexa, or Watson. And people have to adapt to the machines. Join us and learn more!
How to use Artificial Intelligence with Python? EdurekaEdureka!
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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AI - Artificial Intelligence - Implications for LibrariesBrian Pichman
What does the world of AI (artificial intelligence) mean for libraries? Can AI replace library services or how can libraries leverage the technology for more streamlined services. From Smart Houses, to Robots, to technology yet to be mainstreamed, this session will cover it all to help you better prepare and plan for the future.
AI for Beginners - SWFLN Makerpalooza - Session 1Brian Pichman
This session explores what artificial intelligence (AI) is and the everyday use cases for AI. It’s an introductory look at how various industries, including libraries, use AI for operational efficiencies, enhanced services, and more.
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.
Artificial Intelligence with Python | EdurekaEdureka!
YouTube Link: https://youtu.be/7O60HOZRLng
* Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training *
This Edureka PPT on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
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LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Differences Between Machine Learning Ml Artificial Intelligence AI And Deep L...SlideTeam
Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/2zFJeSC
Differences Between Machine Learning Ml Artificial Intelligence Ai And Deep L...SlideTeam
"You can download this product from SlideTeam.net"
Differences between Machine Learning ML Artificial Intelligence AI and Deep Learning DL is for the mid level managers to give information about what is AI, what is Machine Learning, what is deep learning, Machine learning process. You can also know the difference between Machine learning and Deep learning to understand AI, ML, and DL in a better way for business growth. https://bit.ly/325zI9o
How to Use Artificial Intelligence to Grow Your BusinessSIXTY
Are you interested in learning how to use Artificial Intelligence and Machine Learning for business? If so, then be sure to download this information-packed PDF based on a presentation made by internationally recognized author, speaker, and network TV news contributor Jamie Turner.
Similar to Machine Learning for Marketers by Mike King at The Inbounder New York (20)
El 6 de junio 2019 celebramos, junto al Instituto de Empresa y We Are Marketing, el evento “Viaje al futuro del turismo”.
En él contamos con la presencia de diferentes expertos del sector turismo para compartir su visión sobre todos los cambios que están por venir y las claves para superarlos con éxito.
Cómo convertir clientes en promotores y servicios en crecimiento a través de ...We Are Marketing
En el último Madrid HUG del año contamos con la presencia de Sofía J. Valls para hablar sobre Service HUB, una nueva herramienta de HubSpot diseñada para mejorar los procesos de atención al cliente dentro de las empresas.
Las claves del Madrid HUG de septiembre: cómo aplicar Agile y Scrum en Inboun...We Are Marketing
La edición de Madrid HUG de septiembre se centró en demostrar la utilidad de las metodologías ágiles en los proyectos de Inbound Marketing. El encargado de la charla fue Juan Manuel Escuredo, Project Manager Senior y certificado como Scrum Master.
Overbooking Gran Canaria: El milagro de la multiplicación de los panes y los...We Are Marketing
El Inbound Marketing se ha convertido en una estrategia de máxima efectividad en el sector turismo: nos permite llevar a los usuarios a través del proceso de compra multiplicando los leads a corto plazo y aumentar el ingreso medio por pernocta en el medio plazo. Lo contamos en el evento de marketing digital Overbooking Gran Canaria.
Las claves del Madrid HUG de septiembre: cómo aplicar Agile y Scrum en Inboun...We Are Marketing
La edición de Madrid HUG de septiembre se centró en demostrar la utilidad de las metodologías ágiles en los proyectos de Inbound Marketing. El encargado de la charla fue Juan Manuel Escuredo, Project Manager Senior y certificado como Scrum Master.
Videos are more engaging, more memorable, and more popular than any other type of content out there. That’s why it’s estimated that 82% of consumer traffic will come from videos by 2025.
And with videos evolving from landscape to portrait and experts promoting shorter clips, one thing remains constant – our brains LOVE videos.
So is there science behind what makes people absolutely irresistible on camera?
The answer: definitely yes.
In this jam-packed session with Stephanie Garcia, you’ll get your hands on a steal-worthy guide that uncovers the art and science to being irresistible on camera. From body language to words that convert, she’ll show you how to captivate on command so that viewers are excited and ready to take action.
In today's digital world, customers are just a click away. "Grow Your Business Online: Introduction to Digital Marketing" dives into the exciting world of digital marketing, equipping you with the tools and strategies to reach new audiences, expand your reach, and ultimately grow your business.
website = https://digitaldiscovery.institute/
address = C 210 A Industrial Area, Phase 8B, Sahibzada Ajit Singh Nagar, Punjab 140308
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.\
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
Monthly Social Media News Update May 2024Andy Lambert
TL;DR. These are the three themes that stood out to us over the course of last month.
1️⃣ Social media is becoming increasingly significant for brand discovery. Marketers are now understanding the impact of social and budgets are shifting accordingly.
2️⃣ Instagram’s new algorithm and latest guidance will help us maintain organic growth. Instagram continues to evolve, but Reels remains the most crucial tool for growth.
3️⃣ Collaboration will help us unlock growth. Who we work with will define how fast we grow. Meta continues to evolve their Creator Marketplace and now TikTok are beginning to push ‘collabs’ more too.
How to Use AI to Write a High-Quality Article that Ranksminatamang0021
In the world of content creation, many AI bloggers have drifted away from their original vision, resulting in low-quality articles that search engines overlook. Don't let that happen to you! Join us to discover how to leverage AI tools effectively to craft high-quality content that not only captures your audience's attention but also ranks well on search engines.
Disclaimer: Some of the prompts mentioned here are the examples of Matt Diggity. Please use it as reference and make your own custom prompts.
In the digital age, businesses are inundated with tools promising to streamline operations, enhance creativity, and boost productivity. Yet, the true key to digital transformation lies not in the accumulation of tools but in strategically integrating the right AI solutions to revolutionize workflows. Join Jordache, an experienced entrepreneur, tech strategist and AI consultant, as he explores essential AI tools across three critical categories—Ideation, Creation, and Operations—that can reshape the way your business creates, operates, and scales.This talk will guide you through the practicalities of selecting and effectively using AI tools that go beyond the basics of today’s popular tools like ChatGPT, Claude, Gemini, Midjourney, or Dall-E. For each category of tools, Jordache will address three crucial questions: What is each tool? Why is each one valuable to you as a business leader? How can you start using it in your workflow? This approach will not only clarify the role of these tools but also highlight their strategic value, making it perfect for business leaders ready to make informed decisions about integrating AI into their workflows.
Key Takeaways:
>> Strategic Selection and Integration: Understand how to select AI tools that align with your business goals and how to conceptually integrate them into your workflows to enhance efficiency and innovation.
>> Understanding AI Tool Categories: Gain a deeper understanding of how AI tools can be leveraged in the areas of ideation, creation, and operation—transforming each aspect of your business.
>> Practical Starting Points: Learn how you can start using these tools in your business with practical tips on initial steps and integration ideas.
>> Future-Proofing Your Business: Discover how staying informed about and utilizing the latest AI tools and strategies can keep your business competitive in a rapidly evolving digital landscape.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
First Things First: Building and Effective Marketing Strategy
Too many companies (and marketers) jump straight into activation planning without formalizing a marketing strategy. It may seem tedious, but analyzing the mindset of your targeted audiences and identifying the messaging points most likely to resonate with them is time well spent. That process is also a great opportunity for marketers to collaborate with sales leaders and account managers on a galvanized go-to-market approach. I’ll walk you through the methods and tools we use with our clients to ensure campaign success.
Key Takeaways:
-Recognize the critical role of strategy in marketing
-Learn our approach for building an actionable, effective marketing strategy
-Receive templates and guides for developing a marketing strategy
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Short video marketing has sweeped the nation and is the fastest way to build an online brand on social media in 2024. In this session you will learn:- What is short video marketing- Which platforms work best for your business- Content strategies that are on brand for your business- How to sell organically without paying for ads.
Come learn how YOU can Animate and Illuminate the World with Generative AI's Explosive Power. Come sit in the driver's seat and learn to harness this great technology.
SEO as the Backbone of Digital MarketingFelipe Bazon
In this talk Felipe Bazon will share how him and his team at Hedgehog Digital share our journey of making C-Levels alike, specially CMOS realize that SEO is the backbone of digital marketing by showing how SEO can contribute to brand awareness, reputation and authority and above all how to use SEO to create more robust global marketing strategies.
The session includes a brief history of the evolution of search before diving into the roles technology, content, and links play in developing a powerful SEO strategy in a world of Generative AI and social search. Discover how to optimize for TikTok searches, Google's Gemini, and Search Generative Experience while developing a powerful arsenal of tools and templates to help maximize the effectiveness of your SEO initiatives.
Key Takeaways:
Understand how search engines work
Be able to find out where your users search
Know what is required for each discipline of SEO
Feel confident creating an SEO Plan
Confidently measure SEO performance
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Agenda
Machine Learning
Doomsday
ML vs DL vs AI?
Marketing Use Cases
Models & Use Cases
Tools For Marketers
Wrapping Up
Real World Examples
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Apparently Machine Learning Can Write Copy For you
There is a sub-field of artificial intelligence called Natural Language Generation that has made the concept of content spinning a lot more viable and has been used for sports recaps and financial reports.
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Improved Google Translate from Scratch in 2 Months
A team rebuilt the broken Google Translate using Machine Learning and within 2 months it was already as good as the version that had taken years to build.
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AI Is Gonna Steal Your Job?
One of the more common fears of middle America around the idea of artificial intelligence is that robots will replace humans in their jobs.
22. The real fear of machine
learning and artificial
intelligence should be its
ability to reflect and amplify
our biases and the lack of
diversity of the people
creating it.
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AI is Comprised of Many Disciplines
Deep Learning is a subset of Machine Learning is a subset of Artificial Intelligence.
AI many branches of which machine learning is a core branch that we can execute.
31. Artificial Intelligence as it is represented
in sci-fi is “general” artificial
intelligence. What we have achieved so
far is “narrow” artificial intelligence.
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Types of Artificial Intelligence Explained Using
“The Lawnmower Man”
Narrow Artificial Intelligence
Machines that can do a specific
task or series of tasks
exceedingly well and very
efficiently.
General Artificial Intelligence
A machine that is as smart as a
human in that it can take in new
situations and make decisions.
Artificial Superintelligence
A machine that is potentially
orders of magnitude smarter
than a human in all categories
simultaneously
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Experts Disagree on When General Intelligence Will
Happen
The primary issue keeping this from happening is computing power.
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Experts Disagree
on When General
Intelligence Will
Happen
The primary issue
keeping this from
happening is
computing power.
37. Ok. So, What Is Machine Learning?
“Machine learning is a type of artificial
intelligence that provides computers with
the ability to learn without being
explicitly programmed.”
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Supervised Learning
The machine looks for patterns that match the labeled data that you provide and classifies new data based on that.
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Reinforcement Learning
With reinforcement learning, the model is continually trained based on new data thereby improving the classifier’s ability to perform.
42. And Deep Learning?
“Deep Learning is a subfield of machine
learning concerned with algorithms inspired
by the structure and function of the brain
called artificial neural networks.”
44. Machine Learning vs. Statistics
Machine Learning learns from data without
relying on rules-based programming,
statistical modeling identifies relationships in
the form of mathematical equations.
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All Values vs. Linear
Representation
Machine Learning examines all
potential values based on probability
whereas statistics looks for a linear
function to describe the trend.
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Machine Learning is the “Growth
Hacking” of the Statistics World
However, in some ways machine learning and statistics are so similar that many statisticians just feel as though machine learning is just a rebranding of what they do much like “growth hacking” is just a rebranding of marketing.
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The Machine Learning
Process
GET & PREPARE
YOUR DATA
You identify and clean
your dataset in
preparation for solving
the machine learning
problem
CHOOSE YOUR
MODEL TRAIN YOUR
CLASSIFIER
You chose the
algorithm or model that
you believe will yield
the best results then
run it in order to train
your classifier.
SCORE AND
EVALUATE
You score the
accuracy and precision
of the classifier and
test it against other
algorithms to see what
performs best.
PREDICT OR
IDENTIFY
OUTCOMES
Once you are happy
with the results, you
use the classifier
moving forward to
make conclusions
about new data.
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This is an example of how you could
predict the demand of cars for a car
rental company. It follows the same
framework.
Car Rental Example
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Training Chatbots
Training chatbots is
similar to training
ML classifiers in that
you take a
knowledge base and
run it through NLP
then tune it with
regard to
conversations.
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Training Chatbots
Training chatbots is
similar to training
ML classifiers in that
you take a
knowledge base and
run it through NLP
then tune it with
regard to
conversations.
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Shit, Google Doesn’t Even Know How Rankbrain Works
Yet, the world’s greatest search engine has deployed it to production.
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Remember this?
A team rebuilt the broken Google Translate using Machine Learning and within 2 months it was already as good as the version that had taken years to build.
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Look Closer
A team rebuilt the broken Google Translate using Machine Learning and within 2 months it was already as good as the version that had taken years to build.
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The Methodology is the
Machine Learning Part
We took all available domain-level link
features for the Searchmetrics losers
and winners and figured out (5-fold
cross validation, random forest and
lasso) which ones correlated best with
the results and then used that model
to re-rank the Inc. 500. (I probably
shoulda asked Marcus for more data,
but whatever).
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Methodology behind
the Vector Report
We broke it into two types of machine learning questions. Classification and Logistic Regression to predict the probability of continued visibility in Organic Search.
Goal: identify SEO
winners and losers
and predict a site’s
performance in SEO
Classification
Random Forest
Gradient Boosting
Machine
Support Vector
Machine
Logistic Regression Regularization
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K-Fold Cross Validation is a Guess and Check
Try out a model and validate it using k-fold cross validation.
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How to Choose a Machine
Learning Model
https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-choice
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yHat Science Ops
yHat allows you to deploy machine learning models as REST APIs that can then be integrated with your site like any other API.
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Beeswax Bidder-as-a-Service
Beeswax allows you to set up custom models to run your Display RTB campaigns.
108. Those are tools that allow
marketers to take control
with a data scientist.
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mTurk - Labeling Data for Supervised Learning
Exploratory Data Analysis helps identifying general patterns in the data and serve as initial explorations of correlations.
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MonkeyLearn &
Orange
We will primarily talk about MonkeyLearn and Orange as two tools marketers can use to do machine learning right now.
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Exploratory Data Analysis
Exploratory Data Analysis helps identifying general patterns in the data and serve as initial explorations of correlations.
This SEO question can be translated into two type of machine learning questions (1) classification, which can be used to identify SEO winners and losers (2) while logistic regression, has the capability of predicting the probability of being a seo winner. Within classification…, within…
A snapshot shows the scatterplot of the Iris data set with the coloring matching of the class attribute.
For continuous attributes, the attribute values are displayed as a function graph.
Classification Tree is a simple classification algorithm that splits the data into nodes by class purity.
We removed stopwords and punctuation to find frequencies for meaningful words only.
Word Cloud displays tokens in the corpus, their size denoting the frequency of the word in corpus. Words are listed by their frequency (weight) in the widget. The widget outputs documents, containing selected tokens from the word cloud.
Similarity Hashing widget computes similarity hashes for the given corpus, allowing the user to find duplicates, plagiarism or textual borrowing in the corpus. What we got on the output is a table of 64 binary features (predefined in the SimHash widget), which denote a 64-bit hash size. Then we computed similarities in text by sending Similarity Hashing to Distances. Here we’ve selected euclidean row distances and sent the output to Hierarchical Clustering. We can see that we have some similar documents, so we can select and inspect them in Corpus Viewer.
Ridge regression generally yields better predictions than OLS solution, through a better compromise between bias and variance. Its main drawback is that all predictors are kept in the model, so it is not very interesting if you seek a parsimonious model or want to apply some kind of feature selection.
To achieve sparsity, the lasso is more appropriate but it will not necessarily yield good results in presence of high collinearity (it has been observed that if predictors are highly correlated, the prediction performance of the lasso is dominated by ridge regression). The second problem with L1 penalty is that the lasso solution is not uniquely determined when the number of variables is greater than the number of subjects (this is not the case of ridge regression). The last drawback of lasso is that it tends to select only one variable among a group of predictors with high pairwise correlations. In this case, there are alternative solutions like the group (i.e., achieve shrinkage on block of covariates, that is some blocks of regression coefficients are exactly zero) or fused lasso.
Naïve Bayes misclassified 14 adult corpus as children.
We randomly split the data into two subsets. The larger subset, containing 80 % of data instances, is sent to SVM and logistics regression, so they can produce the corresponding classifiers. Classifiers are then sent into Predictions, among with the remaining 20 % of the data. Predictions shows how these examples are classified.