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76. What is the difference between data science and big data..? November 01, 2019 The basic definitions are as below: Data Science: Dealing with unstructured and structured data. Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis. Big Data: Big Data refers to huge volumes of data that cannot be processed effectively with the traditional applications that exist. The processing of Big Data begins with the raw data that isn’t aggregated and is most often impossible to store in the memory of a single computer. For Your Information: We are currently building an online careers portal - datasciencecareers ... (read more) Author: Harris Elahi

77. How PACS Radiology Software Is Advancing Healthcare Tech November 01, 2019 Radiology software may be used by radiology departments of hospitals or healthcare centers, along with by independent radiology centers. Each computer software is tried and tested and is highly suggested by medical personnel throughout the world. It is possible to also see EMR Software with the assistance of PACS tools, doctors can provide a fast and immediate diagnosis to their patients. Finding the proper software is vital to your transition. The Intel compatible software can be utilized with pretty much any frequent office network. Even standardized, web-based systems need a degree of ... (read more) Author: Shovon Joarder

78. After learning Python how does one learn machine learning/AI? October 26, 2019 Well the good thing is that one doesn't need to possess a PhD-level understanding of the theoretical aspects of machine learning in order to practice. Hence, the best way to get started using Python for machine learning is to complete a small project. It would be highly recommended for one to try this project - "Project Hello World of Machine Learning in Python" This is a good project because it is so well understood. *Attributes are numeric so you have to work out how to load and handle data. *It is a classification problem, allowing you to practice with perhaps an easier type... (read more) Author: Harris Elahi

79. Considering Machine Learning or Data Science, which has a better future. October 25, 2019 Actually, since many data scientists work in Machine Learning, it can be argued that their futures are closely tied. Overall, being an machine learning engineer or data scientist with a very good grasp of machine learning are both good bets. For Your Information: We are currently building an online careers portal - datasciencecareerandmachinelearningjobs for those who are aspiring to work within big data or who already work within the field and are looking for careers specifically within the areas of data science, machine learning, deep learning, data analytics, big data and statisti... (read more) Author: Harris Elahi

80. Is Machine Learning a subset of data science? October 25, 2019 To put it in a simple way, machine learning is a discipline or a field that studies algorithms that can learn from data and with that knowledge are able to make a prediction. It is one of the TOOLS of data science and it addresses quite a number of data science tasks. It is not actually a subset of data science but a subset of computer science. For Your Information: We are currently building an online careers portal - datasciencejobs for those who are aspiring to work within big data or who already work within the field and are looking for careers specifically within the areas o... (read more) Author: Harris Elahi

81. What statistics should one know to do data science..? October 24, 2019 Essentially, one should start with the basics. Hopefully you have a mathematical background. Even if you don't it isn't really a big deal: you won't understand all the concepts at a deep level but you can at least gain a practical understanding of them. Try to find an introductory course online. Next, move to more challenging topics. You can check the basic concepts you have learned and read more in depth descriptions. Some Wikipedia articles are very good and contain plenty of useful links to external material. You can also read some practical books and implement... (read more) Author: Harris Elahi

82. What qualities separate great data scientists from good data scientists? October 20, 2019 Great data scientists ask the right questions. Essentially data science is all about collecting data, and making sense of it. Useful analysis starts with insight into which questions will yield interesting and useful answers. Everything else - what data to collect, what models & statistical methods to apply, what tools to use - these aspects all flows from the questions you ask. For Your Information: We are currently building an online careers portal - bigdatajobs for those who are aspiring to work within big data or who already work within the field and are looking for careers speci... (read more) Author: Harris Elahi

83. Top companies in data science.. October 20, 2019 Although it is hard to define "top" companies, below is a list of 25 great companies that incorporate data science... Dataiku Looker SAP Google Salesforce Microsoft MongoDB Redis Labs Cloudera Databricks Snowflake Computing RapidMiner Couchbase Dell Technologies Amazon Web Services Tableau Software Sumo Logic SAS SiSense Hortonworks IBM Oracle Hewlett Packard Enterprise Teradata Hitachi Vantara For Your Information: We are currently building an online careers portal - datasiencejobs for those who are aspiring to work within big data or who already work with... (read more) Author: Harris Elahi

84. What is it like to be a data scientist? October 19, 2019 As a data scientist, what one does during the course of a day does vary quite a bit. Hence, on any given day a data scientist could be doing any of the following (in no particular order): Writing project proposals. Acting as the technical resource in sales meetings. Networking with customers. Exploring new technologies. Attending courses. Mentoring junior data scientists. Leading project teams. Analyzing data. Gaining domain knowledge by talking to customers. Defining business cases Brainstorming solutions to problems. Designing predictive models. Deploying models into produc... (read more) Author: Harris Elahi

85. Why Should We Integrate Radiology Information System? October 18, 2019 online DICOM viewer is only available in internet e-book format, so in case you desire a paper copy for now you are going to have to print it yourself. Naturally, it's wise to buy a system which adheres to the current guidelines of the law. It is crucial that if investing for RIS systems, the units have to be affordable but very powerful. Inside each hospital, among the most essential devices is the radiology information system computer software. You ought to be aware that a radiology information process is basically an electronic health record system that is always employed for radiology... (read more) Author: Shovon Joarder

86. What are good MSc data science courses in the UK? October 09, 2019 Today Data Science has increasing demands in all aspects from business to marketing and finance to education. It provides huge career options and these will only increase in the future. Below are some of the leading universities for MSc Data Science in the UK. These universities prepare students and develop their skill and knowledge in order to achieve their career goals. * University of Edinburgh - MSc in Data Science at the University of Edinburgh is the study of computation methods and principles for extracting knowledge from given data. This university offers both full time and ... (read more) Author: Harris Elahi

87. Data Science Jobs: Which cities outside London in the UK are best for data science jobs? October 08, 2019 Manchester is a good city for data science jobs now and especially in the future. During July 2018, the University of Manchester announced that it was seeking corporate partners to develop one of its Campuses to become a mixed-use district to attract technology and science occupants in order to develop in areas including artificial intelligence. The university reported that this project could potentially create up to 6,000 jobs and over $2.5 billion in growth during the next 20 years. During the coming years, the city also plans to experiment with IOT - Internet of Things technology... (read more) Author: Harris Elahi

88. Data Science Career: What are the best entry-level positions that could lead to a career in data sc October 07, 2019 The best entry-level positions that could lead to a career in data science would ideally be related entry-level jobs which involve analyzing large datasets. These could be for instance: * Data Analyst * Business Intelligence Analyst * Business Analyst * Quantitative Finance * Software Engineering with a focus on Machine Learning. * Research experience with a professor (or similar) that works with large datasets. The related- entry jobs would certainly do your case no harm however, AN ENTRY LEVEL DATA SCIENCE POSITION would definitely be the best way to start your data science... (read more) Author: Harris Elahi

89. Data Science Jobs: Are actual data science jobs fun? October 04, 2019 Depending on the persons aptitude and passions some aspects would be more fun then other aspects. For example data cleaning could be argued as being frustrating, and monotonous. However, on the other hand it can be argued as being very satisfying; the process of taking some raw data that's stored in some less-than-useful format and coming up with an elegant solution to get it into the format that you think you want can be a lot of fun – especially when you're able to do the whole process without leaving data frames. A lot of satisfaction can be gained in having an open-ended question or proble... (read more) Author: Harris Elahi

90. Reasons to Integrate The DCM File Viewer in Your Props October 04, 2019 At times, you simply require a tool or program to rapidly open and view certain files without needing to install cumbersome software to access them. Though this software is offered from several vendors, they are costly and beyond the range of the typical radiologist. As a few of these programs are made to run on image data in non-DICOM formats (for example, Analyze and NIFTI), DICOM data should be converted using applications like DCM file viewer. The activation process doesn't collect any personal info. It will associate the hardware on which the software is installed with the serial num... (read more) Author: Shovon Joarder

91. Data Science Careers: How do I find a data science job without experience? September 30, 2019 Before one can think about applying for jobs you need to build the right foundation for yourself, and make sure you have got the skill set that employers are looking for. Luckily there are many resources for people out who want to learn about statistics, machine learning or data science. For instance one can take free online courses from platforms such as Coursera, EdX and even Udemy. Once you have gained the basic foundation, you can get some on-the-job learning and if it comes to it even internships could prove to be very useful, so definitely don't turn them down! In some cases inter... (read more) Author: Harris Elahi

92. Data Science Jobs: What is the future of data science as a career... September 27, 2019 Here in the UK there is a growing demand for data scientists, much so that the growing demand is leaving the UK vulnerable to skills shortages. As of May 2019 demand for workers with specialist data skills like data scientists and data engineers has more then tripled over 5 years (+231%), according to a labour market analysis report commissioned. For Your Information: We are currently building an online careers portal - datasciencejobs for those who are aspiring to work within big data or who already work within the field and are looking for careers specifically within the areas of data s... (read more) Author: Harris Elahi

93. Data Science Jobs: Is data science really a rising career...? September 26, 2019 Yes, Data science is a rising career if you look at a career in terms of job trends in relation to growth. Stats show that the US could potentially have as many as 250,000 open data science jobs by 2024 and that the data science skills gap will mean that companies are scrambling to train or hire talent in the coming years. The reasons why data science is such a fast growing job are due to the following reasons: The amount of data has skyrocketed. Due to the fact that the amount of data has grown exponentially, so has the need for people that can read and analyze it. Data driven decisions... (read more) Author: Harris Elahi

94. Data Science Careers: How do I learn data science by myself? September 26, 2019 Well, it probably isn't possible to learn data science all by oneself, although its certainly possible to learn parts of data science on your own. Putting everything together would require the help of other people, for example a mentor or a group of people who can guide you through processes, what is important, tips etc.. Ofcourse there are many resources online that can help you learn, tutorials, courses etc and there is no doubt that you can get pretty good, however you need to be confident that you can use and assimilate your learning in practical and novel situations. For Your In... (read more) Author: Harris Elahi

95. Data Science jobs: What major should I choose if I want to be a data scientist? September 26, 2019 The following degree subjects may be particularly useful: computer science data science/computer and data science engineering mathematics mathematics and operational research physics statistics, or any other subject that tests your analytical skills. Some large employers offer data science graduate training schemes, which take roughly two years to complete. However, some schemes will accept graduates from any discipline and others will specify the degree subjects they will accept. For Your Information: We are currently building an online careers portal - datascientistjobs for ... (read more) Author: Harris Elahi

96. Data Science Jobs: Why is data science important? September 26, 2019 To answer the question why data science is important you have to consider what data science and big data can do for the average citizen: The results of data science are already working their magic in our day to day lives. Take for instance the internet. There are more websites than one can imagine (a quick google search suggests 1 billion which is a figure that is actually hard to imagine). Every time you use Google to search, data science is working in the background to sift through those 1 billion websites in order to bring you the information you want. Data science brings us Facebook and Tw... (read more) Author: Harris Elahi

97. Data Science Careers: Do data scientists code? September 26, 2019 Most of them can, however some don’t. A number of years ago very few people were using the job title “data scientist”, the internet was still in its infancy and coding was a must. Nowadays, with many algorithms already worked out and available online, coding doesn't seem to be a "must" any more. If you decide you're not a coder, and you want an alternative path to becoming a data scientist, then perhaps statistics is the way to go. For Your Information: We are currently building an online careers portal - datascientistjobs for those who are aspiring to work within big data or who alr... (read more) Author: Harris Elahi

98. Data Science Careers: Can a Software Engineer become a Data Scientist? September 26, 2019 Well it is certainly possible to go from being a Software Engineer to becoming a Data Scientist and people have done it, although it is by no means easy. You would need to fully understand core concepts and techniques in data science and this could be gained by for example starting courses online. One could learn python for data science on courses on Udemy for instance, however this is easier said then done. It can be a time consuming process, especially when you have a job in a totally different field. You would need to be pretty determined to get through it. As well as courses one ... (read more) Author: Harris Elahi

99. Data Science Jobs: Are too many people training to become data scientists? September 26, 2019 Maybe yes (hypothetically) and definitely no. Yes (hypothetically) in the sense that perhaps the field may not expand sufficiently enough to be able to accommodate everyone in the future. No in the sense that when training to become a data scientist one learns all sorts of skills, such as problem solving approaches and such skills are transferable and could be used or be important in other areas. Hence, if anyone studying data science or machine learning for instance doesn’t get a specific job within data science (as in the job title) there will be ways to apply that knowledge and sk... (read more) Author: Harris Elahi

100. Data Science Jobs: What is the difference between data science and statistics? September 26, 2019 Answered Aug 23 Statistics is more of a traditional field, one based on a scientific method of sorts (for example hypothesis testing). While data scientists are often more proficient at programming, those in statistics excel more with the underlying theory, designing experiments and analyzing data to test a certain hypothesis. Overall it can be stated that data scientists use statistical methods to discover problems. Those working in statistics use statistical methods to answer problems. For Your Information: We are currently building an online careers portal - datasciencecareers fo... (read more) Author: Harris Elahi

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