Wolfram Research, Inc., creator of Mathematica, Wolfram|Alpha and the Wolfram Language, announces the integration of Wolfram technology with SolveBio, the operating system for precision medicine that enables biotech and pharmaceutical companies to leverage molecular information for therapeutic development.
Source: PR NewswireScientists crunching numbers on infant deaths in the US are using data-analysis algorithms to try and find new ways to reduce the number of babies lost to SIDS each year, with Microsoft contributing free cloud hosting and software tools for their work.
Source: The StarData science is the theory and practice powering the data-driven transformations we are seeing across industry and society today. Artificial intelligence (AI), self-driving cars, and predictive analytics are just a few of the breakthroughs that have been made thanks to our ever-growing ability to collect and analyze data.
Source: Data InformedWant to be a data scientist? Third-level institutions and full-time education aren't the only way you can learn essential data science skills.
Source: SiliconrepublicWell-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: ComputerweeklyThe words artificial intelligence often conjure up a sense of fear and apprehension. Fear for the unknown possibilities of AI, fear for the AI-fueled dystopian images brought about by movies like The Terminator, and most practically, fear for the possibility that AI will someday take our jobs.
Source: VBDoes it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500.000-plus per year for a data scientist worth it? What is a data scientist anyway?
Source: IMCoupled with technology, data can transform the way businesses operate to stay ahead of their competitors.
Source: Daily NationWhile all the attention is on the data scientists, it's market research where the really interesting work is says Ryan Howard.
Source: RESEARCHLIVEMachine learning engineers, data scientists, and Big Data engineers are among the top emerging jobs in technology. This is based off of a recently released report from LinkedIn.
Source: SD TimesSpecial thanks to Michael Shepherd, AI Research Strategist, Dell EMC Services, for his co-authorship. Learn more about Michael at the bottom of this post.
Source: Linkedin PulseBased on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgemental error. Data Science is everywhere and here is the rescue for how to be a data scientist.
Source: HOBLeveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.
Source: HOBAccording to an IDC Digital Universe Study, by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. Uncovering insights from this homogenous amount of information will require the seamless adoption of big data technologies, stronger data security, and integration of AI, machine learning and cognitive technologies applications with business operations
Source: HOBThe exploding demand for data scientists is representative of a need that will not slow down anytime soon. The monetary value of storing, workings with and drawing penetration from data keeps falling the demand for professionals that can work with this data and deliver on the insight will continue to grow.
Source: HOBData science is ubiquitous and is broadening its branches all over the world. The invisible hand of data science in the form of ranking algorithm governs the news streams and feed, recommendation engines that guide the content we see on Netflix and YouTube. Similarly, survival analyses for the estimation of time queues and neural networks for self-driving cars. But there includes a lot of challenges which hinders a data scientist while dealing with data.
Source: HOBArtificial intelligence is the future. Google, Microsoft, Amazon and Apple are all making big bets on AI. Artificial Intelligence (AI) is all the rage from self-driving cars and Siri personal assistants, to chatbots and email scheduling agents that will take routine tasks out of human hands.
Source: HOBNumbers don't lie, data analytics is on rise soon it will be integrate part of all the organizations. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies
Source: HOBData science informs entrepreneurs in a way that listening to their gut just can't.
Source: HOBHarvard hosts some of the most prestigious programs in the world, especially in business and law. So it was big news in the data science industry when the university announced a new master's program in data science in March 2017
Source: HOBBased on historical data and accurately predicting some patterns out of it then, Data science comes into the picture. Data Science is the data driven decision making and building business strategies based on data analysis by removing any manual or judgmental error. Data Science is everywhere and here is the rescue for how to be a data scientist. Data scientists basically deal with huge no of both the data whether structured or not structured and the future of data scientists will be data psychology.
Source: HOBData science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science is helpful for the employees to get understand about data and then make it in a proper way so that it can be communicated in a better way which is valuable for the companies.
Source: HOBLeveraging the application of big data, whether it is to improve the process of product development, improve customer retention or work through the data to find new business possibilities organizations are more relying on the expertise of data scientists to sustain, grow and beat their competition. Consequently, as the market for data scientists increases, the system presents an exciting career path for students and existing professional.
Source: HOBAnalytic is the interpretation of the data collected. Raw form of data is not of any use. It is important to convert raw data into analytic so that it is easier to find that what is the decision that are to be taken by the use of analytic. Businesses use this analytic for making actionable business analytic that will help them in taking real time actions.
Source: HOBApache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.
Source: HOBFor any tech enthusiast, knowing certain Machine Learning Algorithms and its applications have now become very important. Tech giants like Google, Amazon, Facebook, Walmart are using Machine Learning significantly to keep their business tight enough to compete with their rivalries.
Source: HOBData Scientists are big data wranglers. They consider mass and messy data both structured and unstructured and use their formidable skills and organize them accordingly. They use or apply their analytics power to uncover hidden solutions to business challenges.
Source: HOBIt was declared as the "sexiest job of the 21st century," by Harvard Business Review. While the job has got a great description by Harvard the career path for now is a bit uncertain.
Source: HOBData Scientists is the highest paying and demanding job in the current year. All HR professionals are under pressure to get hired the best data science talent so they can achieve the valuable business insights. According to Harvard Business Review described the role of data scientists as it is the sexiest job of the 21st century.
Source: HOBBig Data Analytics is the perfect solution for the complex problems. Every marketer have to take right decision for their organization and now for all those decisions they need not to be depend on their employees. With the help of big data analytics they can easily come to know about each fact and findings.
Source: HOBWith data sciences being the focal point, Entrepreneur India analyses why this new trend is now the essential tool for a majority of smart entrepreneurial solutions.
Source: HOBThe growth of data and its usage across the industry is hidden from none. During the last decade in general, and the last couple of years in particular, we have seen a major distinction in the roles tasked with crafting and managing data.
Source: HOBIn today's world with the introduction of "Internet of Things" and the improvement of "AI Technology" has led to implementation of big data solutions to almost every organization whether small or large organizations. With the help of big data analytics the management can easily take the decision and improve their operational efficiency.
Source: HOBAround Data Science Platforms all of its functionalities like data exploration and integration from several sources, coding, model building are executed. Data science platforms are programmed to train and test models and deploy the results to solve real-life business challenges.
Source: HOBNow a day's most of the organizations are using Data Science capabilities to shape the next set of products which will be more personalized and dynamic. Businesses across verticals have been sitting on huge quantities of data over the years, in various forms like customer, partner, and internal data.
Source: HOBMachine learning is increasingly being deployed in credit card purchase fraud detection, personalized advertising though pattern identification, personalized shopping/entertainment recommendations, to determine cab arrival times, pick-up locations, and finding routes on maps.
Source: HOBData scientists who find themselves straying too far away from technical work may quickly find their skills out of date and unmarketable in today's climate.
Source: HOBThe data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.
Source: HOBThe data scientist role is fast becoming the most sought after career of the technology world. We asked top data scientist Jake Porway from The New York Times about how he got his job and his tips for success in the field.
Source: HOBData Scientists are leaving their jobs, And according to Financial Times it's correct that data scientists usually spend 1-2 hours a week to find good opportunities. We read so many stories about data science being the sexiest job of the 21st century and the attractive sums of money that you can make as a data scientist that it can seem like the absolute dream job.
Source: HOBWith the manifold of data science tools in the market, it is certainly a rising challenge for you as a data scientist or a blooming data scientist to sort out the best ones.
Source: HOBYet the task description of data scientists is ever-changing. the increase of computing, machine learning, and automatic information assortment means that the character of their work is shifting at a speedy pace. Time-intensive tasks, together with information assortment, have become less primary as they become machine-driven, giving thanks to additional strategic tasks.
Source: HOBOver the past years, it was witnessed that data science is majorly used by everyone and there are rise and fall of some words like big data, business intelligence, analytics and these days artificial intelligence. Today there are many aspiring data scientists who are encouraged in learning the techniques of modeling. There are several books which will help a data scientist to get prepared philosophically.
Source: HOBAcross many industries, there are many large enterprises and businesses having the high performance which are tidily turning towards artificial intelligence and new analytics to make the decisions faster, productively and data-driven.
Source: HOBFour forces are deep at work altering the landscape for marketing in 2019 and beyond. The forces and the opportunities they represent are hidden in plain sight. Take privacy for example. Many still view privacy policies as a check-the-box legal exercise, yet consumer attitudes toward privacy and data collection have fundamentally changed.
Source: HOBAcross many industries, big data is being used to drive decisions which are informed and better ones. But it is used in the legal industry is relatively new, mainly because most law firms are resistant to both change and new IT expenditures on unfamiliar initiatives.
Source: HOBMachine Learning is the most powerful tool that businesses are using today. Software and machines have been developed which are not just performing operations for businesses but also enhancing and reshaping the business.
Source: HOBHere are two courses by famous writers which will help you in building your skills in deep learning and artificial intelligence.
Source: HOBThere are multiple reasons why your analytics strategy might not be working. Here is the overview of why is it so and how you can overcome them.
Source: HOBWhen we talk about machine learning, the eye of the media is a blessing as well as the curse. Although it's great that AI has captivated the general public, the way that the media discusses it often obscures the meaning of the term entirely.
Source: HOBGoogle's machine learning program launched 11 Feb 2019 at Mills College in Oakland, California, and will train a cohort of future data scientists to help address the country's computer science workforce gap.
Source: HOBThere is too much explosion in the generation of the data in every major industry all around the world, and the demand of skilled workers if very much as they need professional workers to handle that huge data for solving certain problems and this profession has an unpredictable growth in recent times.
Source: HOBIt seems that these days building a career is a bit dicey task and here you will see how to build a career in machine learning with R programming language.
Source: HOBIn regards to bitcoin, blockchains implications to data science are quite transparent.
Source: HOBThis article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.
Source: HOBStatistics plays a very important role in Data Science. The article draws out some statistical concepts that every Data Scientist should know.
Source: HOBThis article will dive through some of the most Frequently Asked questions in Data Science Interviews with the help of a popular video of YouTube so that your preparation for the next Data Science interview becomes easier.
Source: HOBThe report by Gartner states Augmented Analytics as an approach that automates insights using machine learning and natural language generation.
Source: HOBThe 7 most important terms in Data Science that every Data Scientist must know while making a career in Data Science are discussed in the present article.
Source: HOBThis article discusses those top 3 skills which are required by every Data scientist and it won't be wrong to say that these 3 skills are like the 3 keys in unlocking your success-door in the field. It thus becomes very important that you take these 3 skills very sincerely and start developing them right from today.
Source: HOBData is everywhere. Data is flooding. Data is in huge quantity. But how do I find insights out of this data? This is the big question which everyone asks in this data-driven world.
Source: HOBBooks are always the best sources to explore while learning a new thing. Reinforcement Learning has finds its huge applications in recent times with categories like Autonomous Driving, Computer Vision, Robotics, Education and many others. Here are some best books on Reinforcement Learning that you can easily find on Amazon
Source: HOBWith an Average base salary of $146085, Machine Learning Engineer stood as the best job in the U.S FOR 2019 according to a recent report by Indeed.
Source: HOBWhether you just want to stay informed in the data craze or you're looking to kickstart your data science or data literacy journey, this article features a list of books.
Source: HOBFor a beginner who want to start a career in Data Science, a lot of online platforms are available providing a bunch of information about the field and offering several courses but still there is some ambiguity that still lies in the mind of the aspirants about the careers, salaries, growth rate, skills, and the the various positions in Data Science.
Source: HOBThanks to Machine Learning that businesses can now be reliable to Machine learning in knowing their customers, predicting their customer wants, assisting their customers and moving the business to the next level.
Source: HOBThere are a number of online resources that have emerged today to teach learners the various concepts and things related to Data Science that it is a bit confusing to get started with any.
Source: HOBIt doesn't matter how much data businesses collect, unless they are unable to find actionable insights out of it, all data collected is useless.
Source: HOBIf you are looking to start a new career that is in high demand, then you need to continue reading.
Source: HOBThe wide application of Information Technology and Computer Science has given rise to so many new fields in the corporate sector which have enormous potentials and possibilities.
Source: HOBBig data analytics is all about how you store the huge amount of data and how you process it to get meaning out of it to draw conclusions and make the correct business decisions.
Source: HOBThe emergence of relationship analytics highlights the growing use of a graph, location, and social analytical techniques.
Source: HOBBig data isn't quite the term de rigueur that it was a few years ago, but that doesn't mean it went anywhere. If anything, big data has just been getting bigger.
Source: HOBData Science in today's world is not just a profession or a kind of study. It's a revolution, and it's hard to find any industry which has not been impacted by it.
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