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Nowadays, in the data mining world, having too much data has become a more prevailing problem than not having enough. Building a predictive model on all available variables can be a time consuming task, one that will take a long time to compute and becomes less robust and harder to interpret. So, what can we do to reduce the variables to a manageable number without compromising the model’s predictive power? After profiling the data and learning some characteristics about each variable, here are a number of things I would do, listed from simple to complex: Remove the variables that have 0 or very low variability. Remove the variables that have too many ...
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Data science platforms need to adapt to trends in enterprise IT From simple technologies like emails to sophisticated ones like ERP platforms, the transformation in enterprise IT is undeniable. There are several consistent trends within enterprise IT that would directly impact data scientists. These changes are fairly consistent across industries, which would require data scientists to closely examine their data science platform of choice. Here are some of the key IT trends to watch out for: Adoption of Big Data Technologies: Most companies we have spoken to have either adopted or plan to adopt Big Data technologies. More specifically, they ...
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Why Are Decision Trees so Popular? For many years Decision Trees have been a popular modelling approach amongst Data Scientists and Analysts due to their visual nature, ease of use and understanding, lack of data assumptions and simple deployment. If model explanation is key, explaining a visual, rules-based tree to senior managers is far easier than explaining complex neural networks or odds ratios. In a recent study by KD Nuggets based on a sample of 844 voters, Decision Trees were the third most popular algorithm being used by 55% of Data Scientists: http://www.kdnuggets.com/2016/09/great-algorithm-tutorial-roundup.html Decision Tree Applications ...
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The majority of innovative and large organizations are looking for ways to expand their advanced analytics capabilities to ensure that value can be derived from vast amounts of stored customer data. So how can companies achieve this with ease? Businesses that rely on a large data set framework, like Hadoop, for distributed storage and processing, require advanced analytical infrastructures to reveal meaningful insights about their company and customers. The proliferation of advanced analytics tools in the market has amplified the complexity of identifying the right toolset for Big Data analytics thereby leaving companies to struggle with data access and data ...
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Optimization: Moving from Insight to Actionable Foresight You’ve probably seen this chart or one like it recently: Most organizations are finding their analytics efforts are somewhere between descriptive and predictive, few have been able to effectively move from only predictive to prescriptive and rely on rules of thumb or gut feel to apply analytic learnings. Many of those who’ve effectively moved into prescriptive analytics have started using segmentation tools like strategy trees . Strategy trees move organizations one step further up the chart adding to the concept of traditional decision trees in that they allow you to assign a treatment or action ...
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Latest Release combines flexible, intuitive prep with predictive scoring, enabling organizations to harness the power of their best business and data science minds with ease.    Click to Read Mo
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Valued Datawatch Customers: Earlier this week, Altair Engineering Inc. announced an agreement to acquire Datawatch. I am personally extremely excited about this transformative combination and look forward to sharing with you in the coming months more details on this transaction. By way of background, Altair transforms design and decision making by applying simulation, machine learning and optimization throughout product lifecycles. Altair’s broad portfolio of simulation technology and patented units-based software licensing model enable Simulation-Driven Innovation™ for its customers. With more than 2,000 employees, Altair ...
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