Monetizing in a global market is challenging. Many organizations hope that by the time an opportunity arises, they'll have a plan in place to handle both the risk and opportunity of monetizing any new market by using data science for risk management Prabhu Sadasivam's 2019 talk for ODSC's Accelerate AI, "Data Science for Risk Management in a Global Market," seeks to define strategies for using data science in global risk management as companies expand to new markets and predict up and coming ones. He offers practical strategies, and some pitfalls organizations must avoid in order to have a reliable strategy. Let's learn from his expertise. When you move into new markets, you must create a master file identifying the unique list of businesses or customers.

Recent years have seen the increasing popularity of certificates as a means for data scientists to build new skills. Companies, such as Google, have even begun offering their own, with promising results. This popularity may be a result of the fact that a machine learning certificate can offer similar amounts of knowledge for less time and costs. There are numerous other benefits as well. There is a lot that can be learned on the job.

As the distribution of the COVID-19 vaccine continues apace and it seems like we might return to some semblance of normal in 2021, we can see other indicators of positivity in the economy: namely in the data science job market. In particular, there seems to be many opportunities for machine learning experts in a variety of fields. Below is a list of just a few of the industries currently hiring machine learning experts. Retailers and e-commerce sites are primarily interested in how past customer behavior can be used to predict future customer behavior and believe that machine learning is the answer. At these organizations, you might find yourself working on projects related to customer segmentation, recommendation systems, customer service forecasting, website design, and inventory and pricing optimization.

Were thrilled to announce ODSCs new virtual event, ODSC Applied AI, on July 15, 2020. ODSC Applied AI is a one-day, free, virtual event featuring 90-minute hands-on workshops & tutorials that will help you strengthen existingor build newskills using real-world data. The event will be organized into four tracks based on job roles. And, each track is designed to teach you how to best utilize machine learning & AI in that role to meet your personal or business goals. There are only a limited number of spots available for the hands-on workshops in each track.

Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside research labs. It's often from those labs that open source projects are started. That's why ODSC focuses on research at its conferences and invites the experts pushing the boundaries of AI to speak. Between the two upcoming conferences, researchers from more than 20 of the top research institutes in the country will deliver talks and lead trainings at ODSC West 2019. Institutes like Open AI, NASA's JPL, Google, MIT CSAIL, BAIR, The Turing Institute, and Max Planck - to name just a handful - are presenting at ODSC in 2019, helping us bring our community to the leading edge of AI.

Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside AI research labs. It's often from those labs that open source projects are started. Institutes like Open AI, NASA's JPL, Google Deepmind, MIT CSAIL, BAIR, The Turing Institute, and Max Planck -- to name just a handful -- are presenting at ODSC in 2019, helping us bring our community to the leading edge of AI. To learn more about the labs' role at ODSC, visit ODSC West. Since our next conference is in San Francisco, we're looking west at a few exciting research labs in the area that are participating in ODSC this year.

Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside AI research labs. It's often from those labs that open source projects are started. Institutes like Open AI, NASA's JPL, Google Deepmind, MIT CSAIL, BAIR, The Turing Institute, and Max Planck -- to name just a handful -- are presenting at ODSC in 2019, helping us bring our community to the leading edge of AI. To learn more about the labs' role at ODSC, visit ODSC West. Since our next conference is in San Francisco, we're looking west at a few exciting research labs in the area that are participating in ODSC this year.

Astrophysicist (Views are my own) http://rocketdatascience.org/ Are you sure you want to view these Tweets? The way you think about data needs an update, so here's a patch for your brain. This collection of blog posts from @KirkDBorne will expand AND update your thinking! RT @ScienceUnderSec " @ENERGY's #NationalLabs are using #AI and supercomputing to solve some of the world's toughest problems as well as advancing cancer research and strengthening our national security." Twitter may be over capacity or experiencing a momentary hiccup.

According to Machine Learning models, you'll be denied a loan if you have a PhD, but not if you only have a BA. Can we change this outcome? Learn how to audit your ML models to understand and improve their decision factors.

Topic: Not always a black box: Machine learning approaches for model explainability Schedule: 6:00pm - 6:30pm - ODSC Intro, Pizza & Refreshments 6:30pm - 7:20pm - Talk 7:20pm - 7:30pm - Q&A 7:30pm - 8:00pm - Networking Bio: Violeta has been working as a data scientist at ABN AMRO bank for the past 2 years. Before that she worked as a data science consultant at Accenture, the Netherlands for about 1,5 years. Before working in the industry, Violeta was working in academia. She completed a Ph.D. degree from Erasmus University in the field of applied econometrics. Abstract: Most data scientists will agree that in most cases, a more complex model will result in a more accurate model.