WHY DO MACHINE LEARNING PROJECTS FAIL?

 WHY DO MACHINE LEARNING PROJECTS FAIL?

Think ahead to production so that you don't let your machine learning project collapse before it even gets started

As data scientists, one of our jobs is to create the whole design for any given machine learning project. Whether we’re working on a classification, regression or deep learning project, it falls to us to decide on the data preprocessing steps, feature engineering, feature selection, evaluation metric, and the algorithm as well as hyperparameter tuning for said algorithm. And we spend a lot of time worrying about these issues. 

All of that is well and good. But there are a lot of other important things to consider when building a great machine learning system. For example, do we ever think about how we will deploy our models once we have them? 

I have seen a lot of machine learning projects, and many of them are doomed to fail before they even begin as they don’t have a set plan for production from the onset. In my view, the process requirements for a successful ML project begins with  thinking about how and when the model will go to production.

How outsourcing can boost your profits

 Embracing new technology and outsourcing saves time, allowing you to focus on the most important tasks within your business

How outsourcing can boost your profits?

Administrative tasks can be time-consuming – especially if you aren't an expert – and while they're all essential, they can stand in the way of running your business. While turning to specialists is one solution, we have made full use of new software and technology that allows businesses to free themselves from the mercy of expensive consultants.

Top Ten Ways to Reduce Your Digital Footprint

Top Ten Ways to Reduce Your Digital Footprint

The headlines around the collection and processing of Facebook user data by Cambridge Analytica further demonstrated that what you put online stays online and further grows your digital footprint. The news that dating apps were sharing user data with third parties and the fact that there are more opportunities for federated logins results in even more data available on you, which consequently makes it easier for companies to share that data and target sales.

Techopedia defines digital identity as combining elements such as usernames, online search activities, electronic transactions, date of birth and purchasing history or behavior.

The Benefits of Outsourcing Software Development Offshore

For a long time, outsourcing was seen as something businesses simply didn't do. After all, wouldn't you want to keep jobs on the same shore as your company? Over time, however, that opinion softened until the outsourcing of certain jobs not only became acceptable, it became the norm.

One such sector of business is that of software development outsourcing.

Businesses understand that software development can enable expansion and profit, or the thing that could stop a company from moving forward. To that end, every CEO, CTO, and

5 Techniques to Take Your Data Analysis Methodology to Another Level

Implementing a Business Intelligence suite in your organization is about more than simply collecting additional data — it’s about converting this data into actionable insights. The amount of data an organization can collect today from a variety of sources offers the ability to see under the hood, understand which processes are working, and help teams prepare for future trends. 

However, without properly analyzing and comprehending the data you collect, all you have is figures and numbers with no context.

More importantly, there isn’t one right way to analyze data. Depending on your needs and the type of data you collect, the right data analysis methodology will shift. This also makes it necessary to