Natasha Kearslake, director of HR consultancy Organic P&O Solutions, told DailyMail.com January is deemed the most popular month for job searching, meaning people must make their resumes stand out among the masses. While experience, skills and education are standard, a recruitment expert has revealed six things many job seekers leave out. Natasha Kearslake, director of HR consultancy Organic P&O Solutions, told DailyMail.com Kearslake's six suggestions include adding details from the company's mission statement and forgoing fancy-looking graphics and images - she said her tips would optimize resumes to be read by both humans and AI.

Ten years ago, Tom Scott held up his phone camera and recorded a 90-second video about traffic lights on bridleways. In Britain, we have pelican crossings, toucan crossings and puffin crossings, he explained, "and then, because all those are named after flying things, we have this: a pegasus crossing. And that is a thing you might not know." And then, a day later, he posted another "thing you might not know", about Battersea heliport. The cadence settled down to one a week, but the videos kept coming.

Are you thinking about getting a new job? Well, it's time to revisit your resume, then. But rather than do the work yourself, take advantage of this Cyber Monday deal on AI Resume Builder! This tool combines an AI writer and an ATS-friendly resume builder in a drag-and-drop layout system that makes creating a fully optimized resume easy. You can rearrange elements of your resume with easy toggle controls and advanced design tools to make your resume stand out from the crowd.

There was just a lot happening in my personal life in this last period. I've been always studying but I forgot about blogging for a while. I've did amazing progress on my road to becoming a data scientist. I've spent about 4 months on that company. It really was a good company, it was more like a startup size company.

It is June 2018, and I am sitting at a table in a needlessly fancy restaurant in LA with a bunch of teenagers. Well, some of them must be over 21 as they are able to order alcohol, but most are sticking to Coke or sparkling water with their overpriced steaks. These are some of the up-and-coming stars of Twitch, the livestreaming platform that now broadcasts about 2bn hours per month from more than 9m channels, most of which involve people filming themselves and chatting while playing video games. Later, there will be a lavish party in a similarly extravagant club, where the streamers with the most views and subscribers will be treated like celebrities in the VIP area. And, well, they are celebrities.

Landing a good job in data science can be quite a challenging and difficult task. Although data science is rapidly growing, the number of people getting interested in the field or joining in for financial reasons is increasing exponentially. So, despite the fact that the demand for good data scientists is high, finding a job as a data scientist is extremely difficult. In order to get a job, you will need to stand out among hundreds, if not thousands, of other applicants. There are many aspects to a good data scientist, some are technical aspects, while others are not.

This article is for anyone who, like me, is interested in pursuing AI research in the healthcare space. Just under a month ago, I began my Master's program research in partnership with a local hospital. I want to give you an idea of my background, my current day-to-day work, and my initial thoughts on the field. As with anything, what I have to say will almost certainly not be applicable to all AI healthcare research, but I hope you can walk away with some general concepts. I am a 23 year old Master's student at Ohio State University studying… Mechanical Engineering?

Codes and demo are available. This article explores what are states, actions and rewards in reinforcement learning, and how agent can learn through simulation to determine the best actions to take in any given state. After a long day at work, you are deciding between 2 choices: to head home and write an article or hang out with friends at a bar. If you choose to hang out with friends, your friends will make you feel happy; whereas heading home to write an article, you'll end up feeling tired after a long day at work. In this example, enjoying yourself is a reward and feeling tired is viewed as a negative reward, so why write articles?

When I started my career in Data Science, I spent a lot of time in things that wasted my time and energy. I thought I am on the right track toward my dream job, but I was wrong. Here are my 10 mistakes that you should avoid when you are starting your career in data science. First, I spent too much time on the theory because I thought these will be my foundation in my career. This is draining and took too much time from me.

Artificial intelligence is at work in your life in all kinds of ways, from providing driving directions on your smartphone to recommendations of shows you might like on Netflix. Increasingly, companies are using AI in the screening and hiring process, and that means the way you look for and land a job needs to evolve as well. According to a recent Korn Ferry Global survey of hiring professionals, 63% said AI has altered the way recruiting is done within their organization. Further, nearly half of the respondents said it is making their jobs easier, including giving them valuable insights about candidates they hadn't had access to before. That last point is key, especially considering that the average job posting today garners an exhaustive 250 resumes, according to recruiting and job-review site Glassdoor. Stories of resume "black holes" abound where job seekers apply for a position online, never to hear another word.