Our AI Impact

 for the health of people

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 Our AI Impact

 for the health of planet

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 Our AI Impact

 for the health of business

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FOR THE HEALTH OF PEOPLE: EQUITY
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“The work [with Synaptiq] is unprecedented in its scale and potential impact,” Mortenson Center’s Managing Director Laura MacDonald MacDonald said. “It ties together our center’s strengths in impact evaluation and sensor deployment to generate evidence that informs development tools, policy, and practice.” 
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    ⇲ Implement & Scale
    DATA STRATEGY
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    A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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      PREDICTIVE ANALYTICS
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      Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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        MACHINE VISION
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        Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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          INTELLIGENT AUTOMATION
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          This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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            Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 

            Start Chapter 1 Now ⇢ 

             

              How Should My Company Prioritize AIQ™ Capabilities?

               

                 

                 

                 

                Start With Your AIQ Score

                  MACHINE LEARNING

                  Mushrooms, Goats, & Machine Learning

                  Start learning with Dr. Tim Oates today

                  New chapters will be released on a rolling basis. Follow us on social to find out when each new chapter drops.

                  The free digital book has two goals. The first is to provide an accessible and rigorous introduction to the fundamentals of machine learning, with equal emphasis on both accessibility and rigor. We make it free because machine learning is an exciting field that is impacting people's lives in sometimes profound ways, so it's important that the field's promise and pitfalls be well understood by those who take an interest.

                  The second goal of this book is to promote learning through experimentation - thus the use of Python notebooks.

                   

                   

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                  Chapter 1

                  This chapter explores some fundamental concepts in and about machine learning, including what machine learning is and how machines can be made to learn, starting with a thought experiment. As the experiment progresses the discussion will become more general and less grounded in a specific scenario.

                  Start Chapter 1 now:

                  WHAT PEOPLE ARE SAYING

                  PROFESSOR OATES IS A STALWART IN THE FIELD OF MACHINE LEARNING. IN ADDITION TO BEING A BRILLIANT RESEARCHER, HE IS AN EMPATHETIC TEACHER WHO GENUINELY CARES FOR HIS STUDENTS, UNDERSTANDS WHERE STUDENTS FACE DIFFICULTIES, AND PROVIDES GUIDANCE ON HOW TO OVERCOME THEM. HE EMPHASIZES PRACTICAL APPLICATIONS THAT MAKE A POSITIVE IMPACT ON HUMANITY. I HIGHLY ENCOURAGE MACHINE LEARNING ENTHUSIASTS TO READ HIS NEW BOOK.

                  - Sourav Mukherjee, Ph.D

                   

                  Read & Visualize in Python

                  You'll find code scattered throughout the text, some of which generates graphs and tables. There is code that constitutes bare bones but highly understandable implementations of common machine learning algorithms, and there is code that demonstrates machine learning concepts that stand apart from specific algorithms.

                  read code
                   

                  Enjoy Hands-On UX

                  You will be free to tinker with all of it; trying different inputs or even modifying the code to see what happens. Sometimes the text will suggest things for you to try within the text, but surely other ideas will come to mind. The science and practice of machine learning are like any other human activity, you get better with experience.

                  edit code
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                  A new and unique way to learn

                  Dr. Oates will be listening and open to feedback along the way, tailoring chapters to learners questions and comments. An entirely new way to experience learning machine learning.

                  Start now: