Here is an interesting discussion with a data scientist at Reddit.
Here’s an interesting chat with a data scientist at Facebook.
For this month’s episode we have Maoni Stephens, the owner for the .NET GC.
She’s a deep domain expert in garbage collection for over 15 years and has a lot of interesting learnings to share about building a career towards the architect path.
In this video, Steve and Maoni discuss everything from getting the most out of of mentors, building learning into a career, the critical skill of debugging others’ code, developing confidence and perseverance towards her goals.
Amanda Silver explains how she accelerated her career with customer understanding and how she harnesses a sense of mission to stay motivated to achieve more.
In this video, Miguel de Icaza, Distinguished Engineer, talks about his career building open source software, founding companies, and building communities.
Here’s an interview with a data scientist at Uber. Learn how she got started in data science and what she’s working on now.
Python Programmer offers up his thoughts on whether or not an advanced degree is needed to do data science.
Here’s a good article answering a very common question asked by folks who want to further shift their career focus into analytics, cloud computing, data science, and machine learning.
Breaking into the field of data science has to be navigated before launching into a career. Earning a job in data science isn’t easy, especially since there are extra job seekers in this analytics jobs.
Given the rise of data science and machine learning as an in-demand career, many people are wondering how to get started as a Data Scientist. Forbes explores how to get started in this article.
Many people are looking to break into data science, from undergraduates to career changers, have asked me how I’ve attained my current data science position at Pacific Life. I’ve referred them to many different resources, including discussions I’ve had on the Dataquest.io blog and the Scatter Podcast. In the interest of providing job seekers with a comprehensive view of what I’ve learned that works, I’ve put together the five most valuable lessons learned. I’ve written this article to make your data science job hunt easier and as efficient as possible.
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: