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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The world has changed almost overnight, and yet Indian IT firms seem to be reluctant to take the plunge to radically overhaul their operations, wean themselves off the traditional model, and undergo some short term pain so they can compete in the digital present and future. Here's a to-do list that they may find helpful.
Source: ZDnet4515
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: WSJ10617
What's the one thing that makes a great data leader?
Source: Data-informed3981
Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.
Source: KDnuggets5775
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: KDnuggets6855
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: QZ5049
Graduating from college is like jumping off a plane with no parachute. Nobody teaches you how to fly as you fall.
Source: Forbes5184
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: Forbes6297
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: HBR4395
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: Forbes6024
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: Talend6387
A guide to seeing the wood for the decision trees
Source: The Register5793
While some digital marketers are still discovering the power of social media, those who are on the cutting edge of technological progress are raising awareness about chatbots and how to build a bot.
Source: Masterofcode5679
On June, 16 we hosted our first ever Bot Summit 2017 in Winnipeg, Manitoba, Canada to bring Winnipeg businesses together and ideate what bots can accomplish for their respective organizations.
Source: Masterofcode4665
Essential lessons from the founders of WeWork, ClassPass, Hint and Quest
Source: Inc11340
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: TNW6030
Worldwide spending on cognitive and artificial intelligence (AI) systems is predicted to increase 59.3% year-over-year to reach $12.5 billion by the end of 2017, according to an International Data Corporation (IDC) spending guide.
Source: Mediapost8202
Most industries are struggling to find data science expertise, but Wall Street especially has particularly keen to hire in this area. Data has always been a big part of the finance industry, and over the last few years, top financial services firms have ramped up their spending, investing millions of dollars to recruit and train data scientists.
Source: Efinancial Career5058
Machine learning is the next big thing, proclaimed by the industry experts and it has started enabling different industries grow their revenue.
Source: HOB Team13632
A vision is meaningless until other people come to see what you see.
Source: Entrepreneur4140
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: Inc5322
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: Forbes5745
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: Forbes5502
Data science is complex. Let us help break it down for you in this bundle where you can learn everything a data scientist needs to know before jumping into it as a career.
Source: Techrepublic4884
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: Firstpost8355
With their relationship with America going cold, India's information technology (IT) giants are warming up to Europe.
Source: Quartz4575
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: Webhose11973
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: Computerweekly12045
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: Firstpost4974
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: Techrepublic13665
Amazon uses it. Target uses it. Google uses it. "It" is machine learning, and it's revolutionizing the way companies do business worldwide.
Source: Forbes11571
AI is a 'smart pill' CMOs can't afford not to take
Source: adweek4776
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: Sciencemag4590
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: Kdnuggets9189
Given the trajectory that artificial intelligence is on, machines will soon do everything that people do today. In a world of increasingly powerful technology, which in aggregate will make the world a better, richer place but at the micro, personal level will make a lot of skills less relevant and less valuable, it is smart to try to figure out how to "beat the bot". These are four areas and skills that are "AI-proof" - well, at least for a little while...
Source: Telegraph5487
(Phys.org)-Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design noise-tolerant quantum computing protocols.
Source: Phys Org4176
The common citizen is concerned about AI taking away their jobs. This calls for broader thinking, including the evolution of industry protocols, while making sure that the public is ready for these futuristic advancements.
Source: Hindustan Times4668
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: Forbes3843
A revolution in warfare where killer robots, or autonomous weapons systems, are common in battlefields is about to start.
Source: Business Insider6978
This week's milestones in the history of technology include the coining of the term "artificial intelligence," the digitization of the Library of Congress, and the first penny paper.
Source: Forbes6672
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 Crunch4764
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 Times6285
Here are three things to pay careful attention to if you're among those who plan to look for work in 2018.
Source: Fastcompany7269
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: Codementor9696
What are the best sources to study machine learning and artificial intelligence? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Source: Forbes5751
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: Computerweekly7896
AI programs can make it easier for trolls with minimal technical skills to make fake videos, audio, researchers warn
Source: NBC News8445
The technologists building artificial intelligence algorithms should take responsibility for the technology's impact on society, a survey finds
Source: Computerweekly7932
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: Cyborgus8292
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: TDS9804
Student demand for degrees in the subject soars as employers seek skilled analysts
Source: HOB14817
Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.
Source: HOB8733
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: HOB6993
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: HOB16938
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: HOB15894
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: HOB2385
Interviewing is a skill. Here are 10 tips and resources to improve your Data Science interviews.
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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.
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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.
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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: HOB67461
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: HOB8793
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: HOB4101
Data scientists are responsible for unlocking these insights and extracting intelligence which influences our lives, in commerce and at home.
Source: HOB7194
There are a lot of computer science graduates and programmers applying for programming, coding, and software development roles at startups like Uber and Netflix; big organizations like Amazon, Microsoft, and Google; and service-based companies like Infosys or Luxsoft, but many of them have no idea of what kind of programming interview questions to expect when you're applying for a job with these companies.
Source: HOB215763
Did you know that by 2024 the demand for data scientists is projected to outpace supply by 250,000 jobs?
Source: HOB38607
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: HOB10932
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: HOB3216
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: HOB10440
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: HOB65877
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: HOB428898
The language's popularity has grown not merely among professional developers-nearly 40% of whom use it, with a further 25% wishing to do so, according to Stack Overflow, a programming forum-but also with ordinary folk.
Source: HOB16842
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: HOB10215
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: HOB6906
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: HOB14736
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: HOB16866
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: HOB5802
Data & Data Science is not just for the analytics team anymore. While data scientists are still in demand, the newest conundrum facing today's organizations concerns the rest of the staff. Data isn't used in a vacuum: it touches many other roles, and those employees need the literacy to handle it effectively.
Source: HOB28818
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: HOB66738
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: HOB26118
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: HOB20991
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: HOB4803
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: HOB4530
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: HOB23379
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: HOB3756
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: HOB16503
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: HOB55299
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: HOB13656
"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: HOB12918
First released in 1995 by Sun Microsystems (later bought up by Oracle), Java is a highly-popular high-level object-oriented programming language. It is primarily used to develop and deliver content online and has been a popular choice with programmers for many years.
Source: HOB16314
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: HOB17667
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: HOB19374
There are some key skills that go in a resume which make for a good and professional data scientist.
Source: HOB32595
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: HOB6543
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: HOB3627
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: HOB15390
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: HOB32268
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: HOB49956
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: HOB5763
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: HOB16086
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: HOB6456
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: HOB2673
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: HOB2397
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: HOB3468
Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace.
Source: HOB2865
Technical interviews for programming language jobs can be stressful. Here are eight skills to hone that could help you ace the interview.
Source: HOB138819
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: HOB2757
If you are willing to go to the enterprises mainstream, artificial intelligence is the one.
Source: HOB1272
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: HOB1740
The ambition to become a software tester is common and is worth praising because of the fast-growing significance and cost-effectiveness of the job.
Source: HOB1218
Questions are going to be an integral part while developing your AI strategy for your business. So you really can't take them lightly. Here is my list of 10 mind-blowing questions that you must ask and think over before developing an AI strategy for your Business.
Source: HOB2124
Across sectors, management, programming language, and technical skills were seen as the most in-demand skills in India.
Source: HOB1752
Many technical skills require training and experience to master. They are also typically a type of hard skill. Hard skills are those that can be taught in a classroom and can be defined, evaluated, and measured.
Source: HOB879
Diversion is the easiest option you could do after your first or many rejections in Data Science interviews but standing positively all over again and trying to crack the next interview in the next chance is the best thing you can ever do.
Source: HOB1863
A Big Data Analyst is the person in the organization who collects data from various resources, clean it for further processing, converts it into another format which is easy to analyze (also called Data Munging) and finally analyze it for finding hidden patterns and useful information from it (also called insights).
Source: HOB4785
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