Organizations today have lots and lots of data. Typically when it comes to data analysis we have to know what our measures of success are before we design our BI. These are typically manifested by competency, or domain driven KPI's but what if those metrics don't actually measure success at all? In this talk we will be discussing how to leverage azure machine learning to answer questions in your organization about success and how to find the KPI's that really matter and drive results.
Intelligence Augmentation - The Next-Gen AIMelanie Cook
Robotics and AI have integrated human and mechanical capabilities at work, with jobs lost and skills condensed to a keystroke. But human intelligence is far from obsolete.
With crowd-computing we have knowledge exchanges like Wiki, and real-time curated news. Semantic technology helps leaders to understand what is happening in the work place. But neurology shows that these leaders cannot make choices, and therefore take action, without emotion.
Augmented Intelligence takes human intuition and imagination, and combines it with AI’s ability to automate and scale, making the Intelligent Workplace hard to beat.
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
The State of Artificial Intelligence and What It Means for the PhilippinesThinking Machines
What consumer-ready applications of artificial intelligence are out there? What are the implications of semi-autonomous agents on Manila's BPO industry? Thinking Machines CEO and data scientist Stephanie Sy delivered this presentation on the current data science and AI landscape at the "Humans + Machines: Using Artificial Intelligence to Power Your People" conference held on February 19, 2016 at BGC, Taguig, Philippines.
Artificial Intelligence (AI) & Machine Learning: Are You Ready?SilverTech
Long dismissed as the realm of sci-fi, artificial intelligence (AI) and machine learning have finally arrived and their potential to disrupt every industry is quickly becoming apparent. Though they work in tandem, there is a distinction to be made between the two; AI is the ability of machines to mimic human intelligence, while machine learning is the ability of computers to learn from gathered data. Despite Elon Musk’s cautions, over the next two years AI will be pervasive in everything from household appliances to digital assistants, and yes, even your website and content!
Intelligence Augmentation - The Next-Gen AIMelanie Cook
Robotics and AI have integrated human and mechanical capabilities at work, with jobs lost and skills condensed to a keystroke. But human intelligence is far from obsolete.
With crowd-computing we have knowledge exchanges like Wiki, and real-time curated news. Semantic technology helps leaders to understand what is happening in the work place. But neurology shows that these leaders cannot make choices, and therefore take action, without emotion.
Augmented Intelligence takes human intuition and imagination, and combines it with AI’s ability to automate and scale, making the Intelligent Workplace hard to beat.
Artificial intelligence (AI) and machine learning (ML) are undergoing revolutionary changes that will affect wide swaths of our society. And the applications of this technology are increasingly diverse. Join us as we narrow in on how researchers in AL and ML are using AWS to identify and prevent financial market manipulation in a high-volume, high-velocity stock market. We also explore how to use natural language processing to aid emergency response organizations in real time during deadly disasters, such as during hurricanes and catastrophic wildfires.
The State of Artificial Intelligence and What It Means for the PhilippinesThinking Machines
What consumer-ready applications of artificial intelligence are out there? What are the implications of semi-autonomous agents on Manila's BPO industry? Thinking Machines CEO and data scientist Stephanie Sy delivered this presentation on the current data science and AI landscape at the "Humans + Machines: Using Artificial Intelligence to Power Your People" conference held on February 19, 2016 at BGC, Taguig, Philippines.
Artificial Intelligence (AI) & Machine Learning: Are You Ready?SilverTech
Long dismissed as the realm of sci-fi, artificial intelligence (AI) and machine learning have finally arrived and their potential to disrupt every industry is quickly becoming apparent. Though they work in tandem, there is a distinction to be made between the two; AI is the ability of machines to mimic human intelligence, while machine learning is the ability of computers to learn from gathered data. Despite Elon Musk’s cautions, over the next two years AI will be pervasive in everything from household appliances to digital assistants, and yes, even your website and content!
Artificial Intelligence & Software Testing: Hype or Hysteria?Johan Steyn
The slides from my talk at SIGiST Johannesburg on 20 June 2018. The video will be available in a few days - sign up at www.thebusinessoftesting.com
The URL of the video on the last slide: https://youtu.be/Y9FOyoS3Fag
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Leaders across the world are looking out for different strategies thru which they can leverage AI.
Realizing this we have successfully organized an event on "AI 4 Institution Leaders" at Nasik focused on the need for AI for educational institutions for the first time in India.
The most significant (not purely scientific) results in AI in the last year (2018-2019).
Disclaimer: may be very subjective :)
Slides to the set of lectures given in Feb-Apr 2019.
This one was conducted in Atlas Biomed Group, 2019-04-26
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Mathias Vercauteren
Artificial Intelligence (AI) has become an exponentially growing technology over the past decades. It moved from Science Fiction to Science Fact, but a lot of companies aren’t ready yet for AI. In this dynamic and eye-opening Keynote Mathias Vercauteren gave at the AI 4 Business Summit in Brussel in 2019 (March 14), you get a real sense of the technological exponential growth and a good understanding of the proximity of AI. Vercauteren transforms your mindset and provides tactics and strategies to innovate and transform your company. Under the motto of think big, start small, he establishes a culture of Moonshot thinking & 10X your goals to enable AI in your company.
____________________________________________
Check out the video on to the One Data Partner channel here: https://www.youtube.com/channel/UCVtXnQQwfYLEgyTyJzQqfZQ?sub_confirmation=1
____________________________________________
► Subscribe to Mathias Vercauteren Channel: https://www.youtube.com/channel/UCmRXmVy9L6vqUB0-0a7Eshw?sub_confirmation=1 to learn more about data, technology and business.
____________________________________________
Mathias Vercauteren is a thought leader on the transforming relationship between business, data & innovative technology. As founder of One Data Partner and being a dynamic inspirational keynote speaker, he inspires businesses and helps them exploit the full potential of their data.
In his powerful keynotes, Mathias delivers real value to his audience by showing them how to drive breakthrough thinking and innovation within their company in a way that delivers clear, measurable and objective results.
Having worked with international companies like Hilti (electronics manufacturing), Barry Callebaut (food manufacturing) and Carrefour (retail), Mathias is a seasoned data strategist, consultant & trainer who served as a trusted advisor for different management teams and boards. He gives his clients and his audiences a true understanding of the immediacy of the current disruptive technologies and the importance of data.
____________________________________________
DutchMLSchool. Machine Learning: A Business PerspectiveBigML, Inc
What is Machine Learning: A Business Perspective - ML for Executives Course.
DutchMLSchool: 1st edition of the Machine Learning Summer School in The Netherlands.
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?
Support for the presentation • “Does AI Improve Managerial Decision-Making?”at the International Conference Airport Operational Excellence, Jan. 28-30 2019
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning
Artificial intelligence is more and more becoming the core of digital products. Designing for Products based on AI requires Designers to know about Machine Learning.
This talk is an easy walk through the most important elements of Machine Learning. It looks at the fundamental principles of using practical examples. It showcases applications of the different types of Machine Learning. The use-cases range from text categorization to image recognition, on to speech analysis. The goal is to show what is important for designers and why.
Impact of Artificial Intelligence/Machine Learning on Workforce CapabilityLearningCafe
The application of AI/ML is reshaping the job market and will eventually create new jobs & roles that we can’t even imagine today. Reskilling the workforce and reforming learning and career models will play a critical role in facilitating this change. The question remains if that will be provided by the traditional internal HR/L&D team or some other model.
Machine Learning Salary Trends - Great LearningGreat Learning
Machine learning, a subset of Artificial Intelligence is the study of making machines more human-like in their behavior and decisions by giving them the ability to learn on their own. Machine learning can automate any tasks especially those which only humans can perform with their innate intelligence. It is being widely applied across every industry to enhance efficiency and increase profits. Since the domain is growing there is a substantial requirement for skills around machine learning. Major building blocks of machine learning are the model, parameters, and the learner.
https://www.mygreatlearning.com/blog/what-is-machine-learning/ - Machine learning is a subset of Artificial Intelligence (AI) and is the scientific study of statistical models and algorithms which can help in device computer systems to perform a specific task without explicit instructions or human interference. The primary aim of machine learning is to allow computers to learn automatically without any human intervention and assistance.
Gabor Koncz – AI in email marketing: email conversion optimization in eCommerceEmailing 2020
Most people still think that AI is just science fiction and have no idea how to use the latest results of AI research and development. The fact is that AI is outperforming humans in more and more activities. In this zero bullshit presentation I will show you the exact steps how to implement AI in your organization and how to outperform your competitors by using latest AI solutions in your marketing.
Artificial Intelligence & Software Testing: Hype or Hysteria?Johan Steyn
The slides from my talk at SIGiST Johannesburg on 20 June 2018. The video will be available in a few days - sign up at www.thebusinessoftesting.com
The URL of the video on the last slide: https://youtu.be/Y9FOyoS3Fag
Artificial intelligence (ai) will radically transform the way we do business in the future, and the way we live. That’s a strong statement, but i believe it’s true. Ai has many faces. As we are increasingly exposed to it, it’s important to understand what it can and can’t do and how companies can pivot wisely to this still evolving reality without overlooking the ethical, human and regulatory questions it raises.
AI Basic, AI vs Machine Learning vs Deep Learning, AI Applications, Top 50 AI Game Changer Solutions, Advanced Analytics, Conversational Bots, Financial Services, Healthcare, Insurance, Manufacturing, Quality & Security, Retail, Social Impact, and Transportation & Logistics
Leaders across the world are looking out for different strategies thru which they can leverage AI.
Realizing this we have successfully organized an event on "AI 4 Institution Leaders" at Nasik focused on the need for AI for educational institutions for the first time in India.
The most significant (not purely scientific) results in AI in the last year (2018-2019).
Disclaimer: may be very subjective :)
Slides to the set of lectures given in Feb-Apr 2019.
This one was conducted in Atlas Biomed Group, 2019-04-26
Demystifying AI | Mathias Vercauteren | Keynote at AI 4 Business Summit | Bru...Mathias Vercauteren
Artificial Intelligence (AI) has become an exponentially growing technology over the past decades. It moved from Science Fiction to Science Fact, but a lot of companies aren’t ready yet for AI. In this dynamic and eye-opening Keynote Mathias Vercauteren gave at the AI 4 Business Summit in Brussel in 2019 (March 14), you get a real sense of the technological exponential growth and a good understanding of the proximity of AI. Vercauteren transforms your mindset and provides tactics and strategies to innovate and transform your company. Under the motto of think big, start small, he establishes a culture of Moonshot thinking & 10X your goals to enable AI in your company.
____________________________________________
Check out the video on to the One Data Partner channel here: https://www.youtube.com/channel/UCVtXnQQwfYLEgyTyJzQqfZQ?sub_confirmation=1
____________________________________________
► Subscribe to Mathias Vercauteren Channel: https://www.youtube.com/channel/UCmRXmVy9L6vqUB0-0a7Eshw?sub_confirmation=1 to learn more about data, technology and business.
____________________________________________
Mathias Vercauteren is a thought leader on the transforming relationship between business, data & innovative technology. As founder of One Data Partner and being a dynamic inspirational keynote speaker, he inspires businesses and helps them exploit the full potential of their data.
In his powerful keynotes, Mathias delivers real value to his audience by showing them how to drive breakthrough thinking and innovation within their company in a way that delivers clear, measurable and objective results.
Having worked with international companies like Hilti (electronics manufacturing), Barry Callebaut (food manufacturing) and Carrefour (retail), Mathias is a seasoned data strategist, consultant & trainer who served as a trusted advisor for different management teams and boards. He gives his clients and his audiences a true understanding of the immediacy of the current disruptive technologies and the importance of data.
____________________________________________
DutchMLSchool. Machine Learning: A Business PerspectiveBigML, Inc
What is Machine Learning: A Business Perspective - ML for Executives Course.
DutchMLSchool: 1st edition of the Machine Learning Summer School in The Netherlands.
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?
Support for the presentation • “Does AI Improve Managerial Decision-Making?”at the International Conference Airport Operational Excellence, Jan. 28-30 2019
AI, Machine Learning & Deep Learning Risk Management & Controls: Beyond Deep Learning and Generative Adversarial Networks: Model Risk Management in AI, Machine Learning & Deep Learning
Artificial intelligence is more and more becoming the core of digital products. Designing for Products based on AI requires Designers to know about Machine Learning.
This talk is an easy walk through the most important elements of Machine Learning. It looks at the fundamental principles of using practical examples. It showcases applications of the different types of Machine Learning. The use-cases range from text categorization to image recognition, on to speech analysis. The goal is to show what is important for designers and why.
Impact of Artificial Intelligence/Machine Learning on Workforce CapabilityLearningCafe
The application of AI/ML is reshaping the job market and will eventually create new jobs & roles that we can’t even imagine today. Reskilling the workforce and reforming learning and career models will play a critical role in facilitating this change. The question remains if that will be provided by the traditional internal HR/L&D team or some other model.
Machine Learning Salary Trends - Great LearningGreat Learning
Machine learning, a subset of Artificial Intelligence is the study of making machines more human-like in their behavior and decisions by giving them the ability to learn on their own. Machine learning can automate any tasks especially those which only humans can perform with their innate intelligence. It is being widely applied across every industry to enhance efficiency and increase profits. Since the domain is growing there is a substantial requirement for skills around machine learning. Major building blocks of machine learning are the model, parameters, and the learner.
https://www.mygreatlearning.com/blog/what-is-machine-learning/ - Machine learning is a subset of Artificial Intelligence (AI) and is the scientific study of statistical models and algorithms which can help in device computer systems to perform a specific task without explicit instructions or human interference. The primary aim of machine learning is to allow computers to learn automatically without any human intervention and assistance.
Gabor Koncz – AI in email marketing: email conversion optimization in eCommerceEmailing 2020
Most people still think that AI is just science fiction and have no idea how to use the latest results of AI research and development. The fact is that AI is outperforming humans in more and more activities. In this zero bullshit presentation I will show you the exact steps how to implement AI in your organization and how to outperform your competitors by using latest AI solutions in your marketing.
Learn to identify use cases for machine learning (ML), acquire best practices to frame problems in a way that key stakeholders and senior management can understand and support, and help create the right conditions for delivering successful ML-based solutions to your business.
Machine Learning is a powerful statistical tool to help predict the probability that a prospect is a good candidate for your product or service. This guide is meant as an introduction to help you and your team know how machine learning may be useful to your organization.
Webinar - AI Powered Recommendation Engine for BusinessesJK Tech
Learn about how an AI solution can be developed at minimal cost and help you reap maximum value while adding scalability, analytics, speed and efficiency to the solution, Aquire the ways of architecting your transition into a family of Artificial Intelligence.
AWS Summit Singapore 2019 | Building Business Outcomes with Machine Learning ...Amazon Web Services
Speaker: Barnam Bora, Head of AI/ML, APAC, AWS
Customer Speaker: Guangda Li, Co-founder & CTO, ViSenze
AWS offers different paths for building and deploying scalable ML solutions. This session provides an insight to how AWS customers are building intelligent systems powered by AI and ML. Learn how these services, in conjunction with the large number of complementary AWS technologies, provide a great platform for our customers to build their own AI and ML powered solutions and drive business value. Towards the latter part of this session, hear how customers are deploying their ML on AWS and can now leverage Marketplace to monetise their models.
Machine learning for developers & data scientists with Amazon SageMaker - AIM...Amazon Web Services
Machine learning (ML) offers innovation for every business. But until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker, a fully managed service that enables developers and data scientists to build, train, and deploy ML models at scale, overcomes these barriers. We review its capabilities, including data labeling, model building, model training, tuning, and production hosting.
Smart Data Webinar: Transforming Industries with Artificial Intelligence (AI)...DATAVERSITY
The state of the art and practice for AI and Machine Learning (ML) has matured rapidly in the past few years, making it an ideal time to take a look at what works and what doesn’t.
In this webinar, we will present an overview of AI-infused applications in two industries:
Manufacturing
Retail
Participants will learn to look for characteristics of business processes and of data that make them well - or ill - suited to AI-augmentation or automation.
Machine Learning is the scientific practice of teaching computers to mimic human intelligence and actions. These computers also have to improve their learning in an autonomous manner. It is done by learning from observations and real-world interactions. Sets of data are studied by the machines to derive meaningful conclusions.
Build sophisticated forecasting & recommendation models - AIM204 - Santa Clar...Amazon Web Services
Accurate forecasting and personalization provides many opportunities. At Amazon, we’ve used our expertise to deliver Amazon Forecast and Amazon Personalize. Amazon Forecast provides you with forecasts produced by machine learning (ML) that are up to 50% more accurate than traditional methods. Amazon Personalize can create individualized recommendations for each of your customers. You don’t need ML to get started because both use sophisticated techniques to analyze your data, select the right algorithm, and automatically train a custom model that’s specific to your use case. Learn how to get started with these services and how AWS customers are using them today.
AWS Summit Singapore 2019 | Building Business Outcomes with Machine Learning ...Amazon Web Services
Speaker: Barnam Bora, Head of AI/ML, APAC, AWS
Customer Speaker: Guangda Li, Co-founder & CTO, ViSenze
Note: This is part 2 of the deck.
WS offers different paths for building and deploying scalable ML solutions. This session provides an insight to how AWS customers are building intelligent systems powered by AI and ML. Learn how these services, in conjunction with the large number of complementary AWS technologies, provide a great platform for our customers to build their own AI and ML powered solutions and drive business value. Towards the latter part of this session, hear how customers are deploying their ML on AWS and can now leverage Marketplace to monetise their models.
Artificial Intelligence disruption: How technologies are predicted to change ...LinkedIn Talent Solutions
Artificial Intelligence (AI) and other emerging technologies are expected to disrupt workplaces across industries and take away millions of jobs in the next decade. Can talent acquisition professionals ignore the technology storm happening all around them? Will their jobs be around in the next 10 years? Will technology replace humans, or just augment their capabilities?
This session will equip you with the basic understanding of key technologies that are changing the world today: Artificial Intelligence and Machine Learning, Blockchain and Virtual Reality; and present their potential applications across candidate and employee journeys.
Join me to help prepare yourself for the radical changes just around the corner.
Practical session reviewing the next evolution of robotic process automation (RPA) and the expanded value it can deliver supported by artificial intelligence (AI)
Review business interest in advancing RPA with AI
Explore the complementary strengths and weaknesses of RPA & AI
Present the future of RPA in the form of Intelligent Automation powered by AI
Discuss how your business can implement such capabilities
Part 5 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com
Amazon SageMaker - ML for every developer & data scientist ft. Workday - AIM2...Amazon Web Services
Machine learning (ML) provides innovation for every business. Until recently, developing ML models took time and effort, making it difficult for developers to get started. In this session, we demonstrate how Amazon SageMaker—a fully managed service that enables developers to build, train, and deploy ML models at scale—overcomes these barriers. We review its capabilities across data labeling, model building, model training, tuning, and production hosting. Additionally, Workday—leading provider of enterprise cloud applications for financial management, human capital management, and analytics—shares how it accelerated ML throughout its organization, the benefits gained, and why it standardized on Amazon SageMaker.
AI has for long remained an exciting area for the scientists and a fuzzy area for all the rest. We talk about Artificial General Intelligence and Artificial Narrow Intelligence in the same vein sometimes. This is an attempt to explain the tech behind ANI in simple layman's terms with a focus on the business applications of it and what to use when.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
3. ABOUT CHASE Q. AUCOIN
Height: 6’10”
Last name pronounced: Oak-Wine
Current Position: Development Lead of Communications at
VinSolutions
Nearly a decade of data and software architecture experience
Let’s connect on LinkedIn
https://www.linkedin.com/in/chaseaucoin
4. WHAT I HOPE YOU GET OUT OF
THIS SESSION
What Is Machine Learning
How Can Predictive Analytics & Azure ML Add Value To My
Organization
What Is Azure ML, & Why Is It Different From Traditional ML Tools
Example Use Cases For Azure ML
How Do I Get Started With Azure ML and Machine Learning
Questions & Answers / Shameless Self Promotion
5. WHAT IS MACHINE LEARNING?
Machine learning explores the study and construction of algorithms
that can learn from and make predictions on data. Such algorithms
operate by building a model from example inputs in order to make
data-driven predictions or decisions, rather than following strictly
static program instructions.
Machine learning is closely related to and often overlaps with
computational statistics; a discipline that also specializes in
prediction-making. It has strong ties to mathematical optimization,
which delivers methods, theory and application domains to the field.
https://en.wikipedia.org/wiki/Machine_learning
14. ML|DATA MINING|DATA
SCIENCE|AI|BIG DATA
Statistics
Data Science
Predictive
Analytics
Machine
Learning
Data Mining
Big Data
Artificial
Intelligence
“The study and
design of
intelligent agents”
and the creation of
machines that learn
Massive volumes of
structured and
unstructured data.
39. SHAMELESS SELF PROMOTION
Education & Assitance: Coding Patterns/Practices, Building To Scale,
WCF, Cloud Patterns, API Management, Machine Learning, Azure
Administration, Deployment Automation:
Phone/Text: 816-209-0033
https://www.linkedin.com/in/chaseaucoin
chase@cupcakefactory.net
Cupcake Factory – Distributed services made easy. Ask about alpha
access!
http://cupcakefactory.net
40. REFERENCES
Greg R. Beaumont – Rise of the Machine (Learning)
https://www.youtube.com/watch?v=smfDb_L4WH8
Azure ML Pricing & Info
http://azure.microsoft.com/en-us/services/machine-learning/
Azure ML Studio
https://studio.azureml.net/
Azure ML Gallery
https://gallery.azureml.net/