This type of career planning requires an element of inspiration along with wise counsel and practical advice. The best books for the purpose are those that help you see and grab hold of your own potential.
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According to Forbes, 53 % of organizations are embracing Big Data Analytics, which means the need to gather and secure data has never been this critical before.
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The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017.
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A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%), lack of data science talent (30%) and lack of management support (27%). Also, data professionals reported experiencing around three challenges in the previous year. A principal component analysis of the 20 challenges studied showed that challenges can be grouped into five categories.
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I attended IBM's inaugural Think event in Las Vegas last week. This event, IBM's largest (estimated 30,000+ attendees!), focused on making your business smarter and included keynotes and sessions on such topics as artificial intelligence, data science, blockchain, quantum computing and cryptography.
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Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data scientists and machine learning engineers (in USD) were: US ($120K), Australia ($111K), Israel ($88K), Canada ($81K) and Germany ($80K). Countries with the lowest annual salaries were: Brazil ($35K), Poland ($29K), Ukraine ($25K), India ($14K) and Russia ($13K).
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nyone with a background in Physics or Engineering knows to some degree about signal analysis techniques, what these technique are and how they can be used to analyze, model and classify signals.
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I'm sure everyone who has been following tech industry news knows about "big data" and "AI." Although there is no industry-consistent definition for either term, most people tend to agree that both have been playing more and more important roles lately
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There is no shortage of hot takes regarding the significant impact that artificial intelligence (AI) is going to have on business in the near future. Much less has been written about how, exactly, companies should get started with it. In our research and in our book, we begin by distilling AI down to its very simplest economics, and we offer one approach to taking that first step.
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I started working at www.comet.ml a few months ago, where we are building a really amazing tool for machine learning engineers. The short of it is that we help track experiments using a single line of code that automagically saves everything to make your model reproducible. You can get great experiment logging and history without being tied to a single platform.
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How do Machine Learning algorithms handle such large amount of data in companies (or real-life cases)? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.
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Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind, here's a list of 8 free books on deep learning.
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In a concerted effort towards making India a leading nation in the field of artificial intelligence, Prime Minister Narendra Modi has asked Niti Aayog to familiarise all ministries with the high-end technology and explain how it can be leveraged to address the country's socio-economic problems.
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Indian students are flocking to universities across the United States and Europe to acquire a master's degree in artificial intelligence (AI) at a time when the discipline of computer science aimed at creating machines that work and react like human beings is finding increasing applications.
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Someone might think his father was right after all when it came to choice of career if one looks at this year's Randstad Insights Salary Trends Report.
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If you are learning a new skill, think about HOW you are learning. My plan was to never be a student again. I like learning. I enjoy the process of learning and as a teacher and scientist, I am continuously engaged in this process.
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SINCE THE CAMBRIDGE ANALYTICA scandal erupted in March, Facebook has been attempting to make a moral stand for your privacy, distancing itself from the unscrupulous practices of the U.K. political consultancy.
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When businesses identify a problem that can be solved through machine learning, they brief the data scientists and analysts to create a predictive analytics solution. In many cases, the turnaround time for delivering a solution is pretty long.
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