Data Scientist was the hottest job title of the last few years. Recently, a new challenger has risen to top of the heap: Machine Learning Engineer. Part and parcel of being an ML Engineer is a solid understanding of deep learning.

Edureka has compiled a list of top deep learning interview questions you must know the answers to in order to ace any interview.

From the article:

Artificial Intelligence is going to create 2.3 million Jobs by 2020 and to crack those job interview I have come up with a set of Deep Learning Interview Questions. I have divided this article into two sections:

The battle for top talent in the AI space is heating up with Apple looking to boost their AI stable. This reminds me of the 90’s when major tech firms would poach talent from each other with impunity. It’s interesting to see how “hot” AI skills have become.

Artificial Intelligence Apple has poached another top engineer from Google as it continues to grow its artificial intelligence and machine learning divisions, with Google’s Dr. Ian Goodfellow having left his role as a “Senior Staff Research Scientist” with Google to join Apple as a “Director of Machine Learning” in […]

Recently, I was on the Workforce Show new segment “Breaking the AI Code” hosted by Swathi Young. Press the play button below to listen here or visit the show page.

Frank La Vigne works at Microsoft as an AI Technology Solutions Professional where he helps companies achieve more by getting the most out of their data with analytics and AI. He also co-hosts the DataDriven podcast. He blogs regularly at FranksWorld.com and you can watch him on his YouTube channel, “Frank’s World TV” (FranksWorld.TV). Frank has extensive experience as a software engineer. You can find him on Twitter at @tableteer

Last week, I spoke to a group of high school students about careers in STEM. Aside from being happy that STEM is now encouraged, I pointed out to them that the workforce they will be entering may look different than the one they see now.  By the time they hit the workforce, digital transformation will have made short work of companies that have not become data driven. The only surviving and thriving companies will be the one who adapted quickly. 

Proving that point is this article from TechRepublic and helpful advice on how to stay ahead of the robots.

Here’s an interesting video related to the article:

.

If there ever was a case for AI, this could be a compelling one: Resume writing. It’s a task many job seekers see as a necessary evil and it seems as  everyone has an opinion about how to carefully craft the perfect document.

A new website can write your résumé for you in just ten seconds — as long as you don’t mind sending employers a document of totally-made-up information and just a touch of gibberish.

According to a new report by Indeed, there’ s a new top job in America and it’s a pretty cool gig if I do say so myself.

Machine learning engineer is the best job of 2019, according to an Indeed report released Thursday. With an average base salary of $146,085 and an impressive 344% growth in job postings, machine learning engineers are expected to continue on this growth track in the coming years, the report found, [Read more on TechRepublic]

When I started to pivot my career towards data science, there was not a well-worn path from app developer to data scientist. In fact, I encountered more than a few naysayers when I started.

Now in 2019, there are multiple paths forward. Many require significant financial investment, but not all do. All require a fair bit of time commitment.  Here’s a great compiled list of free resources.

In 2016, I started the Microsoft Professional Program in Data Science when it was released to the public. At the time, I was changing my career vector from an ace Windows app developer to the Data Science and AI world. The program, the first of its kind for Microsoft, provided me with the means and the tools to achieve ninja status quickly and reboot my career. They are also, when compared to university programs, much more affordable.

In the years since, Microsoft has added more professional programs, from Cybersecurity to DevOps. Naturally, I took and completed the tracks for AI and Big Data. You can hear Andy Leonard and I talk about our experiences with the program and how they differ from traditional MCP programs in this episode of Data Driven. Or click on the play button below.

Now, the team has added an IoT track to the list, which can help accelerate anyone’s career in this fast-growing and world changing field: IoT.

This new program will teach you the device programming, data analytics, machine learning, and solution design skills you need for a successful career in IoT. Learn the skills necessary to start or progress a career working on a team that implements IoT solutions.

And, in case you’re wondering, I signed up and so should you: https://aka.ms/mppiot