This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […]
This article was published as a part of the Data Science Blogathon. Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks. We’ll do our best to […]
This article was published as a part of the Data Science Blogathon. Whether you’ve been in the Data Science and Machine Learning arena for quite some time or have just stepped into this exciting avenue – you sure have stumbled upon Python’s popular Machine Learning model building library, you guessed it right – Scikit learns. One […]
Financial flexibility is one of the hidden stages along the path to financial independence. When you hit financial flexibility, you have far more choices than you did before. You can […]
Amazon QuickSight recently added native support for comparative (e.g., year-over-year) and cumulative (e.g., year-to-date) period functions which allow you to easily introduce these calculations in business reporting, trend analysis and time series analysis. This allows authors in QuickSight to implement advanced calculations without having to use complicated date offsets in calculations to achieve such datetime-aware […]
Today’s businesses face an unprecedented growth in the volume of data. A growing portion of the data is generated in real time by IoT devices, websites, business applications, and various other sources. Businesses need to process and analyze this data as soon as it arrives to make business decisions in real time. Amazon Managed Streaming […]
This article was published as a part of the Data Science Blogathon. In this article, we will gain knowledge of working with audio data. We will use audio data to solve a very critical and real-world problem. Before going in-depth, let’s list what will cover in this article. Table of Contents What is an audio signal? […]
Spacecraft operating closer to Earth are adopting state-of-the-art onboard processors. Upcoming missions will require even greater computing capability.
Data is being produced, streamed, and consumed at an immense rate, and that rate is projected to grow exponentially in the future. In particular, JSON is the most widely used data format across streaming technologies and workloads. As applications, websites, and machines increasingly adopt data streaming technologies such as Apache Kafka and Amazon Kinesis Data […]