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  • For IT Professionals, More Tools, More Salary Is The Mantra: Report

    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
    9741
  • What Indian IT needs to do urgently to survive the digital future

    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: ZDnet
    8454
  • Stars Not Aligned for Job Openings and Skills

    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: WSJ
    15030
  • The One Thing that Makes a Great Data Leader

    What's the one thing that makes a great data leader?

    Source: Data-informed
    8703
  • Data Scientist: Learn the Skills you need for free

    Data Scientists are in big demand! We review career pathways, relevant data science skills, and how you can learn them at no cost.

    Source: KDnuggets
    11409
  • 9 Must-Have Skills You Need to Become a Data Scientist

    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: KDnuggets
    13020
  • Why "skilled in machine learning" should be the new "proficient in Excel" on your resume

    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: QZ
    8979
  • 16 Tips You'll Never Hear In A Graduation Speech, But Should

    Graduating from college is like jumping off a plane with no parachute. Nobody teaches you how to fly as you fall.

    Source: Forbes
    9345
  • What Are The Top Five Skills Data Scientists Need?

    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: Forbes
    11082
  • How Managers Drive Results and Employee Engagement at the Same Time

    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: HBR
    8529
  • Machine Learning Is Creating A Demand For New Skills

    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: Forbes
    10368
  • What Everyone Should Know about Machine Learning

    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: Talend
    10911
  • Want to learn machine learning in 15 minutes? Start here...

    A guide to seeing the wood for the decision trees

    Source: The Register
    9831
  • How to Build a Bot: Facebook Bot for Free Without Coding

    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: Masterofcode
    10515
  • How Bots are Good for Business. Bot Summit Winnipeg 2017 Takeaways

    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: Masterofcode
    8841
  • Coding Is An Overrated Skill: Here's What You Really Need To Know

    Essential lessons from the founders of WeWork, ClassPass, Hint and Quest

    Source: Inc
    16485
  • Chart a career in AI and machine learning - get started for just $39

    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: TNW
    10002
  • Is Artificial Intelligence Over-Hyped?

    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: Mediapost
    12003
  • Data scientists are in demand on Wall Street. Here's what you need to know to land a job

    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 Career
    9252
  • Is machine learning overtaking Sales Professionals?

    Machine learning is the next big thing, proclaimed by the industry experts and it has started enabling different industries grow their revenue.

    Source: HOB Team
    18639
  • 3 Perspectives of Visionary Leaders

    A vision is meaningless until other people come to see what you see.

    Source: Entrepreneur
    7707
  • This Entrepreneur Shares 9 Difficult Lessons Learned In His First 12 Months as CEO

    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: Inc
    9588
  • What Should Beginners Know About Adversarial Machine Learning?

    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: Forbes
    10104
  • Machine Learning Is Creating A Demand For New Skills

    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: Forbes
    9744
  • How to shift your career towards data science, fast

    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: Techrepublic
    8937
  • Artificial Intelligence to make many IT jobs obsolete over next 5 years, says survey

    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: Firstpost
    12669
  • Infosys and TCS: Trumped in America, Indian IT looks to Europe

    With their relationship with America going cold, India's information technology (IT) giants are warming up to Europe.

    Source: Quartz
    9129
  • Machine Learning Showdown: Python vs R

    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: Webhose
    19389
  • How to get the best business value out of data scientists

    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: Computerweekly
    18774
  • From artificial intelligence to design thinking: How reskilling is changing Indian IT landscape

    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: Firstpost
    9381
  • Google Cloud Machine Learning Engine: The smart person's guide

    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: Techrepublic
    19518
  • What Is Machine Learning?

    Amazon uses it. Target uses it. Google uses it. "It" is machine learning, and it's revolutionizing the way companies do business worldwide.

    Source: Forbes
    19935
  • 3 Reasons Why It's Crucial for Brands to Introduce Machine Learning Into Their Marketing

    AI is a 'smart pill' CMOs can't afford not to take

    Source: adweek
    9408
  • How Google is making music with artificial intelligence

    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: Sciencemag
    8643
  • 6 Reasons Why Python Is Suddenly Super Popular

    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: Kdnuggets
    15387
  • Four jobs artificial intelligence (AI) won't destroy

    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: Telegraph
    9960
  • Machine learning tackles quantum error correction

    (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 Org
    8370
  • The artificial Intelligence wave is upon us. We better be prepared

    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 Times
    8724
  • How The Facebook Chatbots Story Got Overblown: 5 Key Lessons For Marketers

    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: Forbes
    8673
  • The world's top artificial intelligence companies are pleading for a ban on killer robots

    A revolution in warfare where killer robots, or autonomous weapons systems, are common in battlefields is about to start.

    Source: Business Insider
    11673
  • Artificial Intelligence (AI) Defined

    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: Forbes
    11301
  • Box Skills applies AI and machine learning to growing multimedia content

    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 Crunch
    8703
  • The curious case of AI in the cloud

    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 Times
    10692
  • How You'll Look For A Job In 2018

    Here are three things to pay careful attention to if you're among those who plan to look for work in 2018.

    Source: Fastcompany
    12183
  • How to start writing high quality code at any point of your programming journey

    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: Codementor
    14433
  • Eight Easy Steps To Get Started Learning Artificial Intelligence

    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: Forbes
    10353
  • Thousands of IT jobs being created in India by European and US companies

    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: Computerweekly
    14463
  • Artificial intelligence could supercharge hacking and election meddling, study warns

    AI programs can make it easier for trolls with minimal technical skills to make fake videos, audio, researchers warn

    Source: NBC News
    12633
  • Coders feel responsible for impact of artificial intelligence on society

    The technologists building artificial intelligence algorithms should take responsibility for the technology's impact on society, a survey finds

    Source: Computerweekly
    12330
  • Top mistakes data scientists make when dealing with business people

    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: Cyborgus
    12612
  • 1 year doing data science in the real world

    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: TDS
    13494
  • Data science is the big draw in business schools

    Student demand for degrees in the subject soars as employers seek skilled analysts

    Source: HOB
    29691
  • 9 Must-have skills you need to become a Data Scientist, updated

    Check out this collection of 9 (plus some additional freebies) must-have skills for becoming a data scientist.

    Source: HOB
    14676
  • AI and Automation is changing the requirements of Skill sets at workplace

    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: HOB
    14721
  • How to Learn Mathematics for Machine Learning?

    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: HOB
    24471
  • What set of Skills are required for Machine Learning Jobs?

    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: HOB
    25284
  • AI: The Change For the Society

    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: HOB
    6777
  • 10 Tips to Improve your Data Science Interview

    Interviewing is a skill. Here are 10 tips and resources to improve your Data Science interviews.

    Source: HOB
    26121
  • How to Become a Data Scientist - Part 2

    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: HOB
    13071
  • What Data Scientists Want?

    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: HOB
    7806
  • Top 9 Data Science Skills Must Have to Become a Data Scientist

    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: HOB
    78180
  • What All Can You Learn About Deep Learning in Just Five Days?

    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: HOB
    17349
  • Are you trying to acquire Machine Learning Skills? Let's Know How

    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: HOB
    8421
  • Data Scientists are in-High Demand and Well Paid - So, why is there a skills gap?

    Data scientists are responsible for unlocking these insights and extracting intelligence which influences our lives, in commerce and at home.

    Source: HOB
    11658
  • 100+ Data Structure, Algorithms & Programming Language Interview Questions Answers for Programmers - Part 1

    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: HOB
    243252
  • Top 10 Hottest Jobs In Data Science Right Now

    Did you know that by 2024 the demand for data scientists is projected to outpace supply by 250,000 jobs?

    Source: HOB
    48429
  • B-Schools Shifted Their Focus on Artificial Intelligence and Machine Learning

    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: HOB
    16968
  • A Combination of Skill Set Makes A Perfect Machine Learning Engineer

    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: HOB
    7881
  • How I learned Deep Learning in 6 Months, Follow 5 Steps

    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: HOB
    17700
  • Demand For Data Scientists & Machine Learning Will Soar 28% By 2020: IBM Report

    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: HOB
    76155
  • Which Programming Languages in Demand & Earn The Highest Salaries?

    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: HOB
    472110
  • Python has brought computer programming to a vast new audience

    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: HOB
    22422
  • Top Computer Coding Languages That Pay The Best Salaries For Developers

    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: HOB
    17823
  • A Lot Of Companies Feel Pressure To Hire Data Scientists

    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: HOB
    15279
  • 10 Things You Might Be Cut Out for A Data Scientist Job

    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: HOB
    21693
  • SD Bootcamp Codeup Launching New Data Science Program For People To Make Careers In Data Science

    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: HOB
    22893
  • Data Science Institute Develops Students For Ethical & Business Decision-Making

    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: HOB
    13818
  • Why All Employees Need Data & Data Science Skills In 2019 (And Beyond)

    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: HOB
    39672
  • Data Science Skills Are in High Demand Across Industries: LinkedIn Workforce Report

    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: HOB
    74571
  • Graduate Students Flock to Data Science as Interest & Demand Skills Surge

    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: HOB
    33648
  • Why Doing Job In Data Science Is Not Just A Numbers Game

    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: HOB
    32019
  • How to Prepare to Get Your First Data Science Job - A Guide

    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: HOB
    9015
  • Want To Learn The World's Fast Mover Programming Language? 5 Reasons To Choose Python 3 Programming Language

    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: HOB
    14394
  • 4 Best Reasons Data Scientists are Excited to Change Jobs

    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: HOB
    28413
  • 12 Books Every JavaScript Programming Language Developer Should Read

    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: HOB
    9357
  • Top 10 Highest Paying Computer Science Jobs In 2019, Every Computer Science Eng. & Graduates Should Know

    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: HOB
    35775
  • Which Is Best Choice For Masters Degree Between Data Science & Business Analytics?

    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: HOB
    66150
  • Top 6 Reasons Why Python Is Suddenly Super Popular for Every Programmer

    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: HOB
    23565
  • What Skills Do You Need to Become a Consummate Data Scientist?

    "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: HOB
    31989
  • Is Java The Programming Language For You?

    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: HOB
    27822
  • Top 4 Important Reasons Data Scientists are Motivated to Change Jobs

    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: HOB
    23445
  • 10+ Free Java Programming Language Books For Beginners - Download, Pdf, and HTML

    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: HOB
    54459
  • 7 Most Important Key Skills Data Scientists Should Have In Their Mind & CV

    There are some key skills that go in a resume which make for a good and professional data scientist.

    Source: HOB
    45861
  • Listed Books Are The Richest Source To Gain Knowledge On Internet Of Things (IoT)

    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: HOB
    12861
  • For A Perfect Data Scientist The Knowledge Of Algorithm Is Necessary

    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: HOB
    7797
  • How To Categorize General Vs Special Purpose Programming Languages

    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: HOB
    69147
  • Data Science The Trending Career In The World And Know The Path To Become A Successful Data Scientist

    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: HOB
    39573
  • Top 5 programming Language Resolutions That Every programmer Should Make

    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: HOB
    60855
  • Top online coding courses

    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: HOB
    10638
  • Data Scientist Should Have These Applications In Their Mobile Phones

    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: HOB
    22707
  • Data Scientists Should Read These Books In 2K19

    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: HOB
    10977
  • How the future supply chain will be affected by some major factors?

    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: HOB
    7053
  • The Most Demanding Soft And Hard Skills According To Big Organisations

    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: HOB
    8454
  • Why Will Not Be Data Science Job Titles By 2029?

    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: HOB
    9351
  • Huge Demand For Data Science Job Is Booming & Only Increasing Exponentially YoY

    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: HOB
    9180
  • 8 Programming Language Skills Programmers Must Master Before A Technical Interview

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