data science


Machine Learning with TensorFlow for Business Intelligence

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The best job to have in 2017 according to Glassdoor? The #1 skill you need to start a career in Data Science? So, if you are interested in a career in data science, algorithmic trading, robotics, or any industry where human labor is getting replaced by machines, you have come to the right place! We have prepared an amazing course not only to get you acquainted with, but help you understand how deep machine learning works! Worried you have no experience?


Introduction to Machine Learning : Part 1

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Working in the IT field for almost 20 years has afforded me the ability to focus on many different areas and to gain a wealth of experience in many generalities. I would say that I have never been a specialist in anything, other than perhaps network performance monitoring and managing large-scale enterprise software packages. This is not an extremely difficult task, in and of itself, so I have always been interested in gaining some new experience that I can specialize in. The new role I find myself in is engineering, but from a sales slant. That means that I spend more time cultivating relationships and less time on the keyboard, so I spend much of my personal time and most of my work time doing research and actively developing in an effort not to lose my edge.


17 Best Artificial Intelligence Courses To Standout in The Future JA Directives

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Artificial Intelligence (AI) is one of the most booming topics in every industry. Based on the demand, Artificial Intelligence Courses are offered by a number of massive open online courses (MOOCs) providers like Udemy, Coursera, and edX. Some of this popular MOOC providers offer some in-depth artificial intelligence programs. Majority of these artificial intelligence tutorials are often taught by industry top AI researchers or experts. However, these courses are cheaper compared to the university courses.


Key considerations for building an AI platform

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To learn more about applying data science to your business, check out the machine learning sessions at the Strata Data Conference in San Jose, March 5-8, 2018. The promises of AI are great, but taking the steps to build and implement AI within an organization is challenging. Core to addressing these challenges is building an effective AI platform strategy--just as Facebook did with FBLearner Flow and Uber did with Michelangelo. Often, this task is easier said than done. Navigating the process of building a platform bears complexities of its own, particularly since the definition of "platform" is broad and inconclusive.


New Poll: Which Data Science / Machine Learning methods and tools you used?

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New KDnuggets Poll is asking: Which Data Science / Machine Learning methods and tools you used in the past 12 months for work or a real-world project? Please vote below and we will summarize the results and examine the trends in early December. Poll Which Data Science / Machine Learning methods and tools you used in the past 12 months for a real-world application? Kaggle survey asked: What data science methods are used at work? and the top answers were Gradient Boosted Machines


Machine learning models for mere mortals

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In our daily lives we are all faced with the need to make decisions. We usually make personal decisions based on personal experience and information. We draw from our friends' experience as well as Internet and other external sources. The data needed to solve a particular challenge usually fits in our head and is structured in sketches in our mind, a notebook or a special document such as mind map. In business, the volume of available data increases in multiples and we are tasked with data collection, analysis and the sheer impossibility of not only holding all the information in our head but even structuring it in a single document.


Robot revolution: Most businesses are about to plough cash into artificial intelligence

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ... Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... Obama's former chief data scientist, DJ Patil, joins Venrock as an adviser today Want to be a millionaire before you turn 25? Study artificial intelligence or machine learning 36756 views Google Artificial Intelligence'Alpha Go Zero' Just Pressed Reset On How To Learn 12852 views


Data Science Trends in 2018 - DATAVERSITY

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The Data Science Trends for 2018 are largely a continuation of some of the biggest trends of 2017 including Big Data, Artificial Intelligence (AI), Machine Learning (ML), along with some newer technologies like Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that employ various practices and techniques within the Data Science industry. The Dataconomy article titled The Future of Big Data Is Open Source aptly captures the industry buzz that dominated the last part of 2016 and the entire 2017. Then, Big Data and Data Science were the biggest industry buzzwords, but a lot has changed since then. In 2016, and 2017, Big Data was a market differentiator for businesses, and continues to be. Now, as we enter 2018, there are numerous new technologies that will coordinate within the greater foundations of Data Science and Big Data, and expand such industries into new spaces that are only beginning to be understood and appreciated.


The Top Data Science Courses at Udemy

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There's no doubt about it - Data Science is big news right now. We see it on the news every day, the increasing number of news stories about Big Data, the Internet of Things, Deep Learning, Artificial Intelligence, smart cars, smart cities, smart politicians. OK, maybe I went a bit too far with that last one... There's also a great appetite for learning about Data Science too. Every month I get an email from Udemy telling me which courses are their best sellers. The list isn't about Data Science, but there are always plenty of Data Science courses right up there at the top of the list.


Diary of a Data Scientist at Booking.com – Towards Data Science

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I joined Booking.com as a data scientist about two and a half years back, straight after a 3 years consulting gig in Dubai. Moving from consulting to a pure data science role was a big shift in my career and in hindsight I'm very happy I made that choice. In fact, I was already impressed with the company during my interviews. What I liked the most was that I was interviewed by peers who were already in the same role, which allowed for many'quality' interactions during the process and reaffirmed the recruiter's claim that the company had a'flat hierarchy'. Also the background of the interviewers was very diverse and interesting -- one had a PhD in astronomy, and the other was CTO of his own startup.