Thinkful Webinar | Data Science Basics: Machine Learning

Thinkful is a career accelerator equipping people with the education and network to launch new careers and take their place in the world's next workforce.Join us for free workshops, info sessions, tech talks, and happy hours focused on building relevant technical skills and growing your professional network. To join the Thinkful network visitThinkful.com

Thinkful Webinars

In today’s world, machine learning algorithms drive the majority of artificial intelligence advancements and applications that you hear about (and plenty that you don’t).

Companies and professionals often point to them as a cure-all for a seemingly unlimited amount of applications. But what does machine learning entail? And how do data scientists apply this powerful tool in a practical setting?
Join us for this interactive workshop as we break down everything that aspiring data scientists need to know about machine learning and how to apply that knowledge with Python.
What you will learn:<ul>
<li>What is Machine Learning?</li>
<li>Various predictive models</li>
<li>Hands-on examples of them with Python</li>
<li>Ways to continue learning</li></ul>
How to join us: Once you register with Eventbrite, you will receive an email with the links to the live webinar from BigMarker. If you do not receive your link, please email virtual@thinkful.com.
Sponsored by Thinkful:
Thinkful is a tech bootcamp equipping people with the education and network to launch new careers and take their place in the world’s next workforce. Every course comes with a personal mentor who’s experienced in the field, as well as career coaches and an academic success manager. To find out more schedule a call <a href="https://calendly.com/admissions-cfi-scheduling/thinkful-webinar-interview?utm_source=bigmarker&utm_medium=organic-social&utm_campaign=webinars&utm_content=thinkful-schedule-a-call-in-description" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">HERE</a>

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Thinkful Webinar | Data Science Basics: Machine Learning

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