While Big Data professionals ruled the roost when it came to hiring in 2016, machine learning has emerged as the most sought after skill in 2017.
Source: NDTV
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Unemployment is at its lowest since 2001, yet signs point to an increasing mismatch between workers' skills and the roles employers are seeking to fill
Source: WSJ10392
What's the one thing that makes a great data leader?
Source: Data-informed3756
Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.
Source: KDnuggets5499
Burtch Works details the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.
Source: KDnuggets6552
It won't be long before "skilled in machine learning" becomes the new "proficient in Excel" as a standard bullet point on your resume.
Source: QZ4818
Graduating from college is like jumping off a plane with no parachute. Nobody teaches you how to fly as you fall.
Source: Forbes4956
What are the top 5 skills needed to become a data scientist? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Source: Forbes6072
Is it possible to be a high-standards, results-driven leader while at the same time building an engaged, fun-to-work-with team?
Source: HBR4191
Last year saw a record number of investments in AI with $5 billion in funding, and the number continues to grow. Investors' activity indicates the significance of this kind of technology for society
Source: Forbes5760
Over the last few months I've had the opportunity to talk to a lot of decision-makers about artificial intelligence in general and machine learning in particular.
Source: Talend6159
On the vast landscape of technological innovation, it's hard to argue there's any field more inherently fascinating than artificial intelligence. Between areas like automated speech, sophisticated web searches and even the robotic brains behind self-driving vehicles, the process of teaching machines to learn is an exploding growth arena.
Source: TNW5832
Machine learning is the next big thing, proclaimed by the industry experts and it has started enabling different industries grow their revenue.
Source: HOB Team13416
A vision is meaningless until other people come to see what you see.
Source: Entrepreneur3942
It always starts off glamorous. Then reality hits you in the face. The first year is always the hardest. The first year of trying to get back into shape. The first year of learning a language. The first year of learning a new skill.
Source: Inc5097
What should people new to the field know about adversarial machine learning? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Source: Forbes5556
Last year saw a record number of investments in AI with $5 billion in funding, and the number continues to grow. Investors' activity indicates the significance of this kind of technology for society -- self-driving cars of the future, DNA genome analysis, climate change, cancer predictions and many other fields. Besides the important role AI plays in these fields, AI as a technology is simply more efficient than traditional technology.
Source: Forbes5295
The Information Technology has never had it so bad as it has since a year ago when job cuts and summary dismissals have been the order of the day. No matter which blue chip IT firm an individual works for, the jobs they are hold at risk, irrespective of seniority.
Source: Firstpost8178
With their relationship with America going cold, India's information technology (IT) giants are warming up to Europe.
Source: Quartz4362
Let's say you have an amazing idea for a machine learning app. It's going to be brilliant. It's going to revolutionize the world of finance, mobile advertising, or... some other world, but it's definitely going to revolutionize something. And gosh darn it, it's going to be the smartest, most learned app the world has ever seen.
Source: Webhose11697
Well-established enterprises like retailers or manufacturing companies now have an abundance of data at their disposal. Unfortunately, merely possessing vast amounts of raw data does not lead directly to increased efficiency or the rapid development of new revenue streams. Instead, everyone must now figure out exactly how to make this data work for them.
Source: Computerweekly11736
With the sector seeing huge churn due to automation and protectionism in the western markets, industry lobby group Nasscom's president R Chandrashekhar told employees in May: Re-skill or perish.
Source: Firstpost4779
In 2016, Google gave businesses the ability to build machine learning models using its cloud platform. TechRepublic's comprehensive guide explains how it works and why it matters.
Source: Techrepublic13365
Amazon uses it. Target uses it. Google uses it. "It" is machine learning, and it's revolutionizing the way companies do business worldwide.
Source: Forbes10857
AI is a 'smart pill' CMOs can't afford not to take
Source: adweek4563
Can computers be creative? That's a question bordering on the philosophical, but artificial intelligence (AI) can certainly make music and artwork that people find pleasing. Last year, Google launched Magenta, a research project aimed at pushing the limits of what AI can do in the arts. Science spoke with Douglas Eck, the team's lead in San Francisco, California, about the past, present, and future of creative AI. This interview has been edited for brevity and clarity.
Source: Sciencemag4392
If you've been paying attention to social media for the past few weeks, you've likely caught wind of a mildly disturbing story about a pair of Facebook-developed chatbots that invented their own language. The story has been shared millions of times, from different publishers' perspectives, and has led to both serious discussions and amused jokes about the impending "AI apocalypse."
Source: Forbes3615
A revolution in warfare where killer robots, or autonomous weapons systems, are common in battlefields is about to start.
Source: Business Insider6717
Box CEO Aaron Levie has always had a vision for the company that extended well beyond its earliest use case as way to transfer files between machines online. His company has continually kept looking to the future at ways the Box toolset could adapt to the changing needs of the market. More than a decade after launching the company and almost three years after going public, the company continues to evolve.
Source: Tech Crunch4554
We're living through the most significant technological shift in human history. Our smartphones are connected to thousands of computers and access terabytes of data, and whether we realize it or not, our lives are heavily impacted by algorithms- our news feeds, the products we buy, our food, our transportation, etc.
Source: Economic Times6009
Here are three things to pay careful attention to if you're among those who plan to look for work in 2018.
Source: Fastcompany6993
If you're looking to write code for more than recreational purposes, then, code quality is a an aspect of your work that you will have to give more attention. Code quality is defined by a convergence of attributes such as maintainability, reusability, readability, efficiency, error proneness, and modularity.
Source: Codementor9462
The trend for big businesses to set up IT hubs in India shows no sign of abating, with thousands more jobs being announced by global businesses.
Source: Computerweekly7662
The technologists building artificial intelligence algorithms should take responsibility for the technology's impact on society, a survey finds
Source: Computerweekly7695
There are no cover articles praising the fails of the many data scientists that don't live up to the hype. Here we examine 3 typical mistakes and how to avoid them.
Source: Cyborgus8046
The most important lessons I've learned so far... Ok, so it's actually 14 months but it didn't have the same ring to it as "1 year". I've spent that 14 months at one company, News UK. I'm now about to embark on a new journey at Deliveroo as a consumer and growth algorithms data scientist, so I thought now would be a good time to reflect on the things that I've learned during my time at News UK.
Source: TDS9588
Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.
Source: HOB8469
Artificial Intelligence and automation is changing the nature of work and the workplace arrangements. Rising implementation of AI and automation gradually reducing the low-skilled job roles and shifting the workforce landscape.
Source: HOB6576
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Source: HOB16608
The skills that have remained important are (a) understanding the fundamentals of statistics, optimization, and building quantitative models and (b) understanding how models and data analysis actually apply to products and businesses.
Source: HOB15123
Ever since the onset of industries, most mundane work that was carried out by manual labor has been replaced with machines. This has reduced error, speeded up the yield and cost a lot less those employing humans to do repetitive tasks.
Source: HOB2187
Interviewing is a skill. Here are 10 tips and resources to improve your Data Science interviews.
Source: HOB19932
Check out part 2 of this excellent series of articles on becoming a data scientist, written by someone who spends their day recruiting data scientists. This installation focuses on learning.
Source: HOB7359
We examine what's important for data scientists in their careers, including challenging work, networking with peers, foreseeing their career path and creating a good work-life balance.
Source: HOB3300
Here details of the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter.
Source: HOB66693
Deep learning, artificial intelligence, and neural networks are challenging new concepts for many, but an intensive short course from ICHEC aims to plug the knowledge gap.
Source: HOB8508
Embarking on a journey through the lands of machine learning? Here are few important lessons like Feature Engineering, Model tuning, Overfitting, Ensembling etc. which you should keep in mind along the way.
Source: HOB3912
Data scientists are responsible for unlocking these insights and extracting intelligence which influences our lives, in commerce and at home.
Source: HOB7005
Did you know that by 2024 the demand for data scientists is projected to outpace supply by 250,000 jobs?
Source: HOB37923
Artificial Intelligence and Machine Learning are significant terminologies and both are changing the way we live and work in this modern world. Artificial Intelligence is the wider concept it helps to carry out the tasks in a smart way while Machine Learning allows the set of such smart rules that the computer itself find out.
Source: HOB10680
Machine Learning is the subset of Artificial Intelligence which allow systems to perform the specific tasks. Machine Learning and Data Mining work closely as both search through data to look for patterns basically it detects patterns in data and adjust program actions accordingly.
Source: HOB2946
It is quite possible to learn, follow and contribute to state-of-art work in deep learning in about 6 months time. This article details out the steps to achieve that.
Source: HOB9765
Jobs requiring machine learning skills are paying an average of $114,000. Advertised data scientist jobs pay an average of $105,000 and advertised data engineering jobs pay an average of $117,000.
Source: HOB65340
Coding is a prized skill in today's business environment and software developers proficient in multiple programming languages are highly valued by organizations for their ability to help businesses go digital and carry out vital business functions.
Source: HOB424596
Developer salaries are on the rise - but which languages bring in the big paydays? Developers who haven't had a recent pay rise might be due for a chat with the boss about wages or at least should freshen up their resume.
Source: HOB9732
Do you know why you're hiring data scientists? A lot of companies feel pressure to hire one, but a lot of companies aren't ready for them or don't know what to do with them, said Stephen Gatchell, head of data governance at Bose Corporation, during a closing keynote panel at the recent Global Artificial Intelligence Conference in Boston.
Source: HOB6393
The data scientist role has been attracting quite a bit of attention and interest--but if you're considering a job in that field, make sure you know what you're taking on.
Source: HOB14355
In response to growing demand from employers, San Antonio-based Codeup is launching a new program aimed at preparing people for careers in data science.
Source: HOB16521
The University's Data Science Institute recently incorporated the new Center for Data Ethics and Justice - founded by the University's Bioethics Chair Jarrett Zigon - in an effort to ramp up its focus on ethics in analysis and interpretation of data. This partnership has created a new course for graduate data science students that specifically addresses ethical issues related to the handling of data and advancement in technology.
Source: HOB5394
According to the August 2018 report by the employment-oriented service, data science skills are rising in demand across industries in the U.S.
Source: HOB66315
It's been called the New Latin for data science students, and for those who get their degree, it's considered the sexiest job of the 21st century.
Source: HOB25851
Maths is a major part of entering the field of data science but there's a lot more to it than that. When it comes to data science, there is a world of possibilities for those who want to enter the industry.
Source: HOB20547
With the demand for data scientists exceeding supply by 50 percent to 60 percent, there is a pressing need for more talent in organizations. And you can use that your advantage to establish a wonderful career. So, yes, snagging a data science job is certainly an excellent idea.
Source: HOB4557
With the clock ticking for Python 2 programming language, the cloud storage company Dropbox has detailed why it chose to move to Python 3 programming language and how it made the switch.
Source: HOB4092
The US could have as many as 250,000 open data science jobs by 2024 (InfoWorld), and the data science skills gap will find companies scrambling to train or hire talent in the coming years. So, the war for data science talent is real.
Source: HOB23004
I am a big fan of JavaScript books and programming language. Being a long-time learner of JavaScript, I've had the pleasure of reading a great many of the popular JavaScript books on the market. These days I tend to skip the ones targeted to rank newbies, but I still read a lot of books intended for JavaScript developers with a little experience.
Source: HOB3423
There is no doubt that computer science is a very marketable course and talk of the town nowadays. Upon your graduation and computer science knowledge, you are guaranteed of landing a high-paying job. On the same note, this course is very wide. Computer science opens you up to many different career options. You can choose to be a software engineer, data analyst, system administrator, security analyst, and many others.
Source: HOB14955
Business Analytics is more suitable for folks who enjoy work which will involve leveraging both business and technical skills in order to create value for the clients. On the other hand, Data Science is a little bit heavier on the coding and technology. During the interview process for Data Science courses, you can expect to be grilled much more on your coding skills as compared to a Business Analytics program.
Source: HOB54687
Python is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
Source: HOB13155
"Today's world is drowning in data and starving for insights. Our digital lives have created an overwhelming flood of information. In the last 5 years, data scientists have come to the rescue by trying to make sense of it all. The sexy job in the next 10 years will be statisticians, and I'm not kidding." - Hal Varian, chief economist at Google
Source: HOB12213
The World could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years. So, the war for data science talent is real.
Source: HOB17340
Every Java programmer loves free eBooks on Java, don't you? When I shared my collection of top 10 Java programming books, one of my readers asked me to share some free Java books as well.
Source: HOB17778
There are some key skills that go in a resume which make for a good and professional data scientist.
Source: HOB31968
The massive upsurge in the availability of data in last few years have fueled this passion for breakthrough innovation. The idea of making human life faster and comfortable is the essence of discovering "Internet of Things".
Source: HOB6240
The field of data is concerned with mining the huge volume of data flowing into the organization's warehouses via effective and proper application of scientific and mathematical skills at the same time.
Source: HOB3393
There are various ways of categorizing or differentiating programming languages. In this post, am going to focus on general-purpose and its nemesis; domain-specific programming languages. What do the two terms mean? What are the differences between them?
Source: HOB14622
Data science is basically the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.
Source: HOB31863
We know you are welcoming 2019 armed with resolutions. It has always been and will continue to be important for us programmers, to stay updated, challenge ourselves, and improve our skills. Don't give into stagnation and demotivation!
Source: HOB49188
If you are planning to learn coding courses online with your own comfort and your own time, you have a great option. You have multiple areas where you might be interested in which will help you in tailoring your skills and learning. Online courses enable you with the learning process matching your level of knowledge.
Source: HOB5340
Data Science and Machine Learning are changing the world and here with the help of following applications, one can easily increase their skills. And these applications can be accessed from anywhere and most important this didn't charge a single penny from learner's. These apps can improve your listening skills, logical skills, decision-making skills, mathematical skills, statistical skills and much more.
Source: HOB15690
All professionals I'm sure looking ahead to a new start and want to increase their data analysis skills. So here is the collection of books through which data scientist can sharpen up their knowledge and skills.
Source: HOB6237
For the technology and social changes, the supply chain leaders must invest for keeping up with it. In the upcoming years, there will be some workers who will be prepared for the task to support nonworkers population which is growing and the supply of labor will be shifted to the regions of the world which are undeveloped that have less educational and technical skills.
Source: HOB2493
Are you looking for a fresh start in 2019? Maybe you'd like to get fit? Learn a new skill? Or change career? According to analysis from networking site LinkedIn, 2019's employers are looking for a combination of both hard and soft skills, with creativity topping the list of desired attributes. The findings chime with the World Economic Forum's Future of Jobs report, which concluded that "human" skills like originality, initiative, and critical thinking are likely to increase in value as technology and automation advances.
Source: HOB2109
There will be no data science job listings in about 10 years, and here is why. There are no MBA jobs in 2019, just like there are no computer science jobs. MBAs, computer science degrees and data science degrees are degrees, not jobs. I believe the reason companies are hiring people into data science job titles is because they recognize there are emerging trends (cloud computing, big data, AI, machine learning), and they want to invest in them.
Source: HOB3183
Technical interviews for programming language jobs can be stressful. Here are eight skills to hone that could help you ace the interview.
Source: HOB137307
With the rapid pace of innovation, it can be difficult for programming language tech professionals to keep their skills current. Here are 10 tips to help you boost your professional development.
Source: HOB2535
If you are willing to go to the enterprises mainstream, artificial intelligence is the one.
Source: HOB1038
In today's era, so many businesses today relying heavily on data about their customers, products, processes, inputs and the market, these organizations are increasingly in need of talented, skilled people who can extract information and insights from the data.
Source: HOB1365
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