13
Sep
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.
13
Sep
Before talking about generalization in machine learning, it’s important to first understand what supervised learning is. To answer, supervised learning in the domain of machine learning refers to a way for the model to learn and understand data. With supervised learning, a set of labeled training data is given to a model. Based on this training data, the model learns to make predictions. The more training data is made accessible to the model, the better it becomes at making predictions. When you’re working with training data, you already know the outcome. Thus, the known outcomes and the predictions from the model are compared, and the model’s parameters are altered until the two line up. The aim of the training is to develop the model’s ability to generalize successfully.
13
Sep
With the volume of data generated by companies and individuals increasing at a skyrocketing pace, a lot of terms like big data, machine learning etc have surfaced. It’s quite normal to ask how these things benefit from each other. In this post, we’re going to discuss how big data benefits machine learning to help you make an informed decision if you’re interested to step into these fields.
10
Aug
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. Here, we’ve jotted down the key aspects of building a solid data science portfolio that would make your journey a tad easier.
10
Aug
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.
10
Aug
In recent years, machine learning has been one of the most talked about tech topics and is being applied to businesses widely. Put simply, this application of artificial intelligence allows computers to learn and improve without being programmed directly. The revolutionary technology presently forms a highly crucial aspect of countless established, as well as, burgeoning industries. Let’s have a look at the key reasons why you should start preparing now to become a machine learning professional.
04
Mar
These days, terms like data science, machine learning and artificial intelligence are sometimes mentioned interchangeably, albeit incorrectly. Even an organization offering a new technology powered by any of these may talk about their high-end data science techniques without having much knowledge about them.
04
Oct
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.
17
Aug
Undeniably, both the terms artificial intelligence and machine learning belong to the most-used buzzwords these days. Almost every tech organization is using these terms when talking about their products or services. Unfortunately, there’re still lots of confusion within the common people about what are these two exactly. Let’s go through the key differences between artificial intelligence and machine learning.
03
Aug
In the tech domain, there is a huge buzz going around the future abilities of AI and machine learning in terms of how they’ll be impacting our lives. These include high-end things like instant machine translation, self-driving cars, just to name a few. However, AI and machine learning are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In this post, we are going to take a closer look at how these technologies have already started impacting the life of the average people.