Looking To Build and Win With a Data Science Team Also How Big Data Can Save Us From Next Financial Crisis.

One of the most exciting challenges I have at Hitachi as the Vice-Chairmen of Hitachi’s “Data Science 部会” is to help lead the development of Hitachi’s data science capabilities. We have a target number of people who we want trained and operational by 2020, so there is definitely a sense of urgency. And I like urgency because it’s required to sweep aside the inhibitors and resistors to change.

Ten years on from the financial crisis, stock markets are regularly reaching new highs and volatility levels new lows. The financial industry has enthusiastically and profitably embraced big data and computational algorithms, emboldened by the many triumphs of machine learning.

The best part is that data science education is readily available to those who want it and live online courses are a great way to begin your data science education. Why is that? Here are 4 reasons:

Top 4 Reasons You Should Take A LIVE Online Data Science Course - Data science education is readily available and live online courses are a great way to begin. Metis 20% off all part-time, Live Online courses offer ends Sep 23 - Get started today.

https://www.kdnuggets.com/2018/09/metis-online-live-data-science-course.html

A Winning Game Plan For Building Your Data Science Team - We need to understand the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.

https://www.kdnuggets.com/2018/09/winning-game-plan-building-data-science-team.html

Machine Learning Cheat Sheets - Check out this collection of machine learning concept cheat sheets based on Stanord CS 229 material, including supervised and unsupervised learning, neural networks, tips & tricks, probability & stats, and algebra & calculus.

https://www.kdnuggets.com/2018/09/machine-learning-cheat-sheets.html

10 trending real life applications of the internet of things - The power of internet connectivity has now stepped beyond computers and smartphones. Every ‘smart’ device around us is now aiming to solve real world problems with digital interventions. These are the real life applications of IoT.

https://www.bbntimes.com/en/technology/10-trending-real-life-applications-of-the-internet-of-things

Big Data and Machine Learning Won’t Save Us from Another Financial Crisis - However, it is imperative we question the confidence placed in the new generation of quantitative models, innovations which could, as William Dudley warned, “lead to excess and put the [financial] system at risk.”

https://hbr.org/2018/09/big-data-and-machine-learning-wont-save-us-from-another-financial-crisis

"Smart homes and other connected products won't just be aimed at home life. They'll also have a major impact on business. And just like any company that blissfully ignored the Internet at the turn of the century, the ones that dismiss the Internet of Things risk getting left behind." — Jared Newman, writing in Fast Company