Did you ever stop to think how Flipkart or Amazon’s recommendation system understands your requirement and shows you relevant products which you may be interested in purchasing? Or, for that matter, how matrimonial websites like Jeevansathi.com, Shaadi.com or Bharatmatrimony.com show you matches as per your customized needs? How come banks are able to detect fraudulent […]
Data breaches have become a regular occurrence. It is almost every day that there is a breach. You would have heard of the Equifax credit data breach, which is one of the latest in a series of stories about major organizations’ data being compromised and exposed. The list is endless; Target’s customer credit card database, Anthem’s health insurance […]
A plethora of different data science roles have come our way in the past few years, and it’s really DIFFICULT to get a general understanding of the differences between them and of the skills they require. To compound matters, the fact that these different data science roles are often given different titles, some of which […]
A question that comes to the mind is – isn’t data science way too advanced for simple SQL? The answer is a clear NO! SQL helps one build a foundation for one’s data science career. Let’s have a look as to how. The field of Data science is hot and happening right now. Just imagine […]
Getting to learn data science can be quite intimidating. More so, at the very start of your journey. There are many questions that you need to answer as part of your journey. Which techniques should I focus on? How much of depth do I need to go into statistics? Is coding required to be learnt? […]
One important attribute of competitive business is the ability to make decisions as fast as possible. But before a business can achieve that, business leaders should have access to data in real-time and interpret it accordingly. Gathering information and the capacity to understand it is crucial for businesses. To detect business opportunities earlier than competitors, […]
Like many new information technologies, big data can bring about dramatic cost reductions, or new product and service offerings. Just as traditional analytics, it can also support internal business decisions. You can achieve a variety of objectives using big data, but it is essential to focus on just one goal – at least at first. […]
There are three main categories when it comes to data analytics: predictive, diagnostic, and descriptive. Every category is distinct in the value it offers and in how it could be used in business to advance productivity and revenue. It is crucial to understand each category and know the right timing for using a category. Predictive […]
There are several kinds of analysis that a business could do to retrieve valuable data. Every type of data science project will have varying result or impact. The type of data science technique you must use really depends on the kind of business problem that you want to address. Different data science techniques could result […]
In the part 1 and part 2 of this series, we saw how to prepare our data set and apply machine learning algorithms to the data set. In this article, we will see how to evaluate the results of the analysis. After building a model, it must be evaluated. Evaluation metrics are used to compare […]
