In the last few years, big data has become central to the tech landscape. You can consider big data as a collection of massive and complex datasets that are difficult to store and process utilizing traditional database management tools and traditional data processing applications. The key challenges include capturing, storing, managing, analyzing, and visualization of that data.
When it comes to the structure of big data, you can consider it a collection of data values, the relationships between them together with the operations or functions which can be applied to that data.
These days, lots of resources (social…
Data analysis comes with the goal of deriving useful information from data, suggesting conclusions, and supporting critical business decision making. There’re lots of data analysis tools that can be utilized to help a business to get a competitive edge. If you’re trying to step into the field of data analysis, it’s extremely important to have a good working knowledge of the most commonly used data analysis tools. In this post, we’re going to discuss five such tools by learning which you’d be able to propel your career in data analysis.
Probably you already know that natural languages, which are used by humans for communications, are difficult to define with a specific set of rules. By using the combined power of computer science, computational linguistics, and artificial intelligence, NLP or natural language processing helps machines to understand that natural language. The technique uses machine-based algorithms that have the ability to obtain meaning from communication both verbal and written. Natural language processing is widely used in language translation, recognizing human speech, information retrieval etc.
While some may argue that programming language is just a tool to equip an NLP project, it all…
In today’s business landscape, big data has become the most valuable asset for any business. The more a business can harness big data, the better its position becomes from where it can carry out analysis that helps to develop useful business decisions. Across every industry, big data is being heavily used to predict future trends, recognize patterns, and draw new conclusions. However, like every technological advancement, big data also comes with equal shares of advantages and disadvantages. Let’s have a look at them.
In the tech fields these days, there’re a huge number of people trying to embark on different types of new paths that eventually lead to having a career in the field of data science. Undeniably, the goal is a worthy one, but it’s also important to have a clear idea about the key goal of data science. In this post, we’ll be trying to explore it. Let’s start the discussion.
First of all, data science is often described as a multidisciplinary field which uses scientific processes, methods, systems, and algorithms to derive insights and knowledge from data. The emergence of…
Most likely you have already come across the term blockchain which is taking the tech world by storm these days. Put simply, blockchain can be considered as a digital ledger where facts are kept in data blocks. These data blocks are connected to each other through cryptographic validation. The entire system leads to an immutable record of data which is managed by a cluster of computers. Let’s see some most common use cases of blockchain to understand why experts call it one of the biggest disrupting innovations ever.
There’re a lot of people trying to step into the field of data science. Unfortunately, many of them often overlook one of the most critical aspects of landing up a good job in the field — the importance of building a strong data science portfolio. While having enough knowledge about different data science techniques and a good number of certifications are surely critical, unless you have a strong data science portfolio, your chances of coming under the radar of recruiters aren’t extremely high. …
Artificial intelligence together with its most talked about subcategory machine learning are probably the biggest two factors impacting the entire business world and transforming it. We may not always realize how these technologies are involved in our day-to-day life, but in reality, they’re present in a lot of aspects. In a business context, almost every industry leverages the power of artificial intelligence and machine learning — from traveling industry to transportation industry to the healthcare industry and many more. In this post, we’re going to explore the impacts of these two technologies on the finance industry.
Here’re the major…
Undoubtedly, you’ve observed the massive buzz going around machine learning since last few years. While a lot of venture investments are being made, conferences are being organized on how to leverage the power of this technology, small businesses too can get benefitted by using machine learning. In this post, we’re going to explore some of the most common ways through which machine learning helps you gain profit.