Machine Learning helps to make intelligent autonomous decisions by improving the underlying computer algorithms automatically. You experience this first hand each time Netflix or Amazon recommends a movie or book title to you. The basic process of finding patterns and then applying those patterns allows Machine Learning to make huge advancements across multiple industries, such as healthcare, automobile, finance, and entertainment. It also enables virtual assistants like iPhone's Siri to understand and execute your commands. Come join Andrew Means to learn more about Machine Learning.

This is a workshop focused on learning about Machine Learning for beginners! Knowing some python will help, but not required. What You'll Learn: What Machine Learning is Who uses Machine Learning Careers in Machine Learning Overview of common models & uses Overview of working with data in python Build 2 machine learning models(clasification & regression) in Python How to Prepare: - Install Google Chrome (any modern browser should work):https://www.google.com/chrome/browser/desktop/ - Sign up for a Google account if you don't already have one (We will be using an online code editor by Google) - Have the Zoom Client for Video Meetings installed well before the webinar begins: https://zoom.us/download Taught live online: - 2 Hours - 5:30pm - 7:30pm Pacific Time - Link to join the workshop will be provided to you once you RSVP. We look forward to meeting you virtually!

Thanks to advancements in deep learning & artificial neural networks, computer vision is increasingly capable of mimicking human vision & is paving the way for self-driving cars, medical diagnosis, scanning recorded surveillance, manufacturing & much more. In this introductory workshop, Sage Elliot will give an overview of deep learning as it related to computer vision with a focused discussion around image classification. You will also learn about careers in computer vision & who are some of the biggest users of this technology. About Your Instructor: Sage Elliott is a Machine Learning Developer Evangelist for Sixgill with about 10 years of experience in the engineering space. He has passion for exploring new technologies & building communities.

CHICAGO--(BUSINESS WIRE)--Donnelley Financial Solutions (NYSE: DFIN), a leading risk and compliance company, today announced a strategic partnership with Galvanize, an award-winning, cloud-based security, risk management, compliance and audit software company. Galvanize was recently named a leader in The Forrester Wave: Governance, Risk, And Compliance Platforms for the first-quarter 2020. "The partnership with Galvanize accelerates DFIN's position as a leading risk and compliance company with a comprehensive portfolio of technology-enabled solutions that meet the needs of clients globally," said Craig Clay, president of Global Capital Markets at DFIN. "In these unprecedented times, our partnership with Galvanize gives us the ability to help our clients identify areas of revenue leakage, using Galvanize's analytics engine powered by ACL Robotics. The combination of cloud-based tools and automation with ACL Robotics has revolutionized internal control and audit management. Our clients will benefit from the HighBond software platform, a complete GRC solution that includes industry-leading internal controls / SOX compliance, operational audit and enterprise risk management software solutions."

I just started my new job at Airbnb as a data scientist a month ago, and I still feel that I'm too lucky to be here. In the past, when people asked me, "Which company do you want to work for the most?" I dare not to say "Airbnb" because when I said that, they replied to me, "Do you know how many people want to work there? How many of them eventually got in? The result proves that nothing is impossible.

Over the last four months, I attended an immersive data science program at Galvanize in San Francisco. As a graduation requirement, the last three weeks of the program are reserved for a student-selected project that puts to use the skills learned throughout the course. The project that I chose to tackle utilized natural language processing in tandem with sentiment analysis to parse and classify news articles. With the controversy surrounding our nation's media and the concept of "fake news" floated around every corner, I decided to take a pragmatic approach to address bias in the media. My resulting model identified three topics within an article and classified the sentiments towards each topic.

Can coal make a comeback under President Trump? In her old life, it was not unusual for Annie Evans to find herself standing in the pouring rain outside of a coal mine at three in the morning, staring down a broken piece of equipment. A heavy maintenance superintendent for a surface coal mine in Elgin, Texas, Evans was responsible for figuring out how to patch or replace outdated parts of a field delivery system that ferried coal from the mine to a plant. Each minute of downtime could cost the company as much as $170. Now the third-generation coal miner gets her adrenaline rush sitting indoors on a soft swivel chair, fixing code on a computer screen.

IBM and Galvanize have launched the first online Cognitive Builder Course hosted on IBM Cloud and powered by IBM Watson. The course is aimed at enterprise developers and interested university students who seek to build on their fundamental Python programming skills, while gaining knowledge about machine learning and artificial intelligence. Currently, the technology industry is facing a shortage of experienced developers to address the growing demand for cognitive and AI development. Recently'Upskilling India' a study conducted by IBM Institute for Business Value indicates 60 percent of global executives expect that employees will need new and different skills to be successful. The study also highlights that 61 percent of the respondents believe that India's higher education system is slow in responding to the changing social demands and needs, followed by 59 percent of the respondents expressing the challenge in maintaining a relevant curriculum for students.

Jobs requiring STEM skills (science, technology, engineering and math) are among the best in the U.S. Here's why. Would-be technology workers learn coding and programming skills at Galvanize, one of a number of new boot camps that help teach skills suited to the tech booming tech economy that has a particular need for data science experts. SAN FRANCISCO -- The nation's best jobs boast salaries that average $100,000 and up, offer generous company benefits, and promise to have recruiting suitors fighting for your hand. But they are highly technical roles carrying job descriptions like DevOps engineer and analytics manager that demand an alphabet soup of computer skills as well as incessant on-the-job learning. So do you have to be a math genius with a spare PhD in physics to get one of these great gigs?

A heavy maintenance superintendent for a surface coal mine in Elgin, Texas, Evans was responsible for figuring out how to patch or replace outdated parts of a field delivery system that ferried coal from the mine to a plant. Each minute of downtime could cost the company as much as $170. Now the third-generation coal miner gets her adrenaline rush sitting indoors on a soft swivel chair, fixing code on a computer screen. The 33-year-old is a data scientist currently doing a paid residency at Galvanize in Austin. "I was an adrenaline junkie," sad Evans of her past career.