Tuesday, October 10, 2017

How to Build a Resume Website That Will Impress Every Hiring Manager Who Sees It

There are plenty of good reasons to have your own website—if you want to build your online brand, for example, or start a side project.

But for most of you reading this, the reason you want to create a website is because you want to get a job, and you know a sleek highlighting your experience could help you stand out from other candidates—or even help a hiring manager find you to fill a position.

And while you could just copy and paste your resume onto a web page, the online possibilities really are endless, so why not go big or go home?

Don’t worry, though; this doesn’t have to take weeks of your life. If you want to turn your resume into a website that impresses, try one of the strategies below—all of which can be done with no coding knowledge and very little time using website building tools like Squarespace.

Strategy 1: Link to Your Resume From a Landing Page

The easiest and fastest way to get your resume on the web is to create a simple but beautiful [single page website] Like this: http://www.eringreenawald.com/single-page-test

There are a couple benefits to this approach. First, if you have a resume you’re proud of, the bulk of the work is already done—all you have to do is write a short bio for the landing page, pick a photo that represents you or your work, and put it all together. (We’ve laid out how to build this site itself in an hour or less here.) So you’re still boosting your name in Google results without too much work on your end. You’re also giving hiring managers your resume in a form they’re very familiar with; they can download it, print it, share it with other team members, and more pretty easily.

The biggest downside of putting your resume on the web this way is that search engines can’t read PDFs, so if a hiring manager happened to be Googling for someone with your experience, they wouldn’t necessarily be able to find you. Combat this by including keywords related to your industry and highlighting important skills in the bio text on your landing page, as well as optimizing other on-site SEO features.

Strategy 2: Create a Page for Each Section of Your Resume

This method will take a little extra work, but it will result in a more full-blown (that’s fully searchable!). I’ve created a sample site here using a portion of my resume:
Basically, you’re going to transform each section of your resume into a page on your website. So, your home page might be akin to an objective or summary statement—giving visitors a high-level overview of who you are, what you do, and what you’re looking for. Then, you’ll create a page for your experience, your skills, your education, your achievements, even your hobbies if you want to share a little of your personality—each of which will show up in your site menu, making it easy for hiring managers to find the information they’re looking for.

For the text on each page, start by copying and pasting the text from your resume—but then think of ways to style or bulk it up to look a little nicer on the web. This could range from putting the name of each company you’ve worked for in a header font that stands out to using icons to visualize each of your skills. And don’t forget to add links to companies you’ve worked with and projects you’ve worked on when applicable—this is meant to be more dynamic than your paper resume.

Also consider ways to make each page feel a little more cohesive and stand-alone. This might mean having a beautiful image related to the work that you do at the top. Or, you could include a short summary before diving into the bullet points and specifics.

No matter how you go about styling each page, you want to make sure hiring managers can reach out once they see how awesome you are. So, don’t forget to make a page with your contact information and social profiles as well, and include a button at the bottom of all of the other pages directing people there.

Strategy 3: Turn Your Website Into a Multimedia Timeline of Your Work History

This last method will take the most work—but if you’re really looking for your site to help you stand out, it may just do the job. Similar to LinkedIn, you’re going to create a single-page, reverse-chronological timeline of your work history—but this one will be souped up with multimedia elements and designed to be extra beautiful. See the sample site here!

Start by picking a website template that lets you create one long, scrolling page with different sections, also known as an index (we love Alex and Pacific from Squarespace.

Then, starting from your most recent work experience to your least, create a section for each place you’ve worked. Feel free to throw relevant volunteer work, side projects, or other personal achievements into the timeline if you want—just make sure to keep it all in order so someone is scrolling through your professional past as they go down your page.

As you’re building out each section, start with your standard bullet points explaining what you did, but then think of ways to add a little oomph. Maybe that’s adding testimonial pull quotes from bosses or co-workers at past jobs. If you have a particularly visual job, you could add a mini portfolio to each role, using a gallery to show specific examples of your work at that company. You could add infographic elements showing off your achievements, videos of speaking gigs you did, a stream of tweets or Instagrams you helped produce—the possibilities are endless (and the right thing for you is going to vary by industry), so get creative!

And, again, you want to make sure people can reach out to you, so include you contact information somewhere on the page—or even in the header so it’s front and center and easy to find.

Once you have your ready to go, don’t be afraid to share it! Add the URL to your paper resume, your LinkedIn profile, your social media accounts, really anywhere recruiters or hiring managers could potentially find you.

Thursday, October 5, 2017

This AI Helps You Paint Like Van Gogh

The artificial intelligence system learned to paint by "studying" 8,000 works of art from the Renaissance up to the 20th century.
A new artificial intelligence system can turn simple sketches into paintings reminiscent of works by great artists of the 19th and 20th centuries, researchers say.
The artificial intelligence (AI) system, dubbed Vincent, learned to paint by "studying" 8,000 works of art from the Renaissance up to the 20th century. According to the system's creators — engineers from the United Kingdom-based research and innovation company Cambridge Consultants — Vincent is unique not only in its ability to make art that is actually enjoyable but also in its capability to respond promptly to human input.
"Vincent allows you to draw edges with a pen, edges of a picture you can imagine in your mind, and from those pictures, it produces a possible painting based on its training," said Monty Barlow, director of machine learning at Cambridge Consultants, who led the project. "There is this concern that artificial intelligence will start replacing people doing things for them, but Vincent allows humans to take part in the decisions of the creativity of artificial intelligence." 
Some previous attempts to produce AI-generated art delivered rather scary results, such as the human portraits drawn by the Pix2Pix tool that was introduced earlier this year by Dutch Public Broadcaster NPO. Pix2Pix used sketches drawn by humans as a starting point and attempted to turn them into what is meant to resemble an oil painting of a female face. The creations, however, looked more like they were pulled from a horror movie.
While Vincent's art doesn't look entirely realistic, it could pass for some of the more abstract creations of masters of the impressionist or expressionist era, such as Vincent van Gogh or Edvard Munch.
"It has learned contrast and color and brushstrokes," Barlow told Live Science here at the Re.Work Deep Learning Summit on Sept. 22, where Vincent was first presented. "It can bring all of that to play when you draw a picture, giving you access to all that artistic content."
Barlow said that using only 8,000 works of art to train Vincent is by itself a major achievement. Previously, a similar system would have needed millions, or even billions, of samples to learn to paint.
"Most machine learning deployed today has been about classifying and feeding lots and lots of examples into a system," Barlow said. "It's called supervised learning.  You show a million photos of a face, for example, and a million photos of not a face, and it learns to detect faces."
Vincent uses a more sophisticated technique that allows the machine to teach itself automatically, without constant human input. The system behind Vincent's abilities is based on the so-called generative adversarial network, which was first described in 2014. The technique uses two neural networks that compete with each other. At the beginning, both networks are trained, for example, on images of birds. Subsequently, one network is tasked with producing more images of birds that would persuade the other network that they are real. Gradually, the first network gets better at producing realistic images, while the second one gets better at spotting fakes, according to the researchers.
"For Vincent, we had to combine several of those networks into a fairly complicated circuit," Barlow said. "If you asked us five years ago how much art we would need to train this system, we would have guessed that maybe a million times more."
To speed up the learning, the researchers occasionally continued providing the machine with feedback on the quality of its creations. 
The need for extremely large data sets to produce reliable results is a major hindrance to the use of AI systems in practical applications. Therefore, researchers are trying to design new techniques that would allow machines to learn faster in different ways.
Barlow said a system such as the one behind Vincent could, for example, help teach self-driving cars how to do a better job of spotting pedestrians.
"If you want an autonomous car to reliably detect pedestrians, you can't just have a face detector, because you can have faces on billboards, on the side of buses, and equally, some pedestrians might be wearing a hood or walk in a shadow; you wouldn't even see their face," Barlow said. "To even train a system that would reliably decide that something dangerous is happening on the road — that somebody has walked out — you need a ridiculous number of examples in different weather and lighting, with different people and heights."
To collect such an enormous amount of data is, according to Barlow, nearly impossible. Systems such as those behind Vincent could use their creative abilities to generate more images from a limited data set. The system would, with a little bit of human help, learn to synthesize realistic images and subsequently teach itself to reliably evaluate all sorts of real-life scenarios.
"It's a virtual circle where not only can machine learning do some amazing things, but it is in itself helping to drive forward the progress of machine learning," Barlow said.

Wednesday, September 20, 2017

Amazon APP Jackpot offer: You can win products worth Rs 2 lakhs in new app sale

Amazon India's festival special offers are about to pour in with the Great Indian Festival Sale, but there is another offer on the app you may not know about. Apart from the sale, Amazon has a mobile app exclusive offer called the Amazon App Jackpot where you can win upto Rs 2 lakh worth of prizes if you are lucky. The Amazon Great Indian Sale will start from September 21 and will go on until September 24. With the upcoming festival season in the country, online shopping going to get a big boost where buyers will try our various deals and discounts on most e-commerce websites. In fact, even Flipkart has announced that it will host its famous Big Billion Days sale during the same days. The Flipkart offer will go on from September 20 to September 24. It should be noted that the Amazon Sale will take place from September 20, for Prime users.


Meanwhile, when it comes to the Amazon Jackpot offer, there are plenty of prizes to be won and most of them are smartphones and other electronic items. The products on offer are, Apple iPad Air 2, OnePlus 5, Sony PS4 1TB console, Panasonic LED Smart TV, Moto G5s Plus, Fitbit Blaze smartwatch, and Seagate 5Th hard drive. In order to avail the offer, all you need to do is download the Amazon mobile app on your smartphone and sign in with your credentials. The offer is available on both Android and iOS devices. This contest will go on until October 31, 2017.

It should be noted that there are certain terms and conditions, including eligibility criteria related to the offer, and you should read them before availing it. At the end of the contest period, seven 7 participants who undertake the actions, will be selected by a random draw of lots to be eligible to answer the contest question which they will receive from Amazon through an email.


The selected participants who answer the contest question correctly within the stipulated time period will be eligible to receive one of the products mentioned above. When you enter the Contest, you will not be eligible to club it with any other sale or offer. The winner will be announced on November 3, 2017.

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