Author Archives: 365Data Science

As per the trend, everyone is talking about Natural language processing, speech recognition, text generation etc. In this article, we will discuss on how can we get text from the video or audio files. Pre-requisites:>> Python 3.7>> ffmpeg>> Libraries: os and speech_recognition Step 1: Prepare directory Create a new folder and add some video files. ForContinue reading “How to generate text from a video file using python”

Installing KubeFlow on your Local Machine KubeFlow is an open-source ML toolkit for Kubernetes. It is a convenient tool for making Machine Learning Workflows Simple, Portable and Scalable. As, it runs on top of Kubernetes it can run on-prem Servers, GKE (Google Kubernetes Engine) and Amazon Elastic Kubernetes Service (EKS) or any other Kubernetes Service. ThereContinue reading “Installing a KubeFlow on your Local Machine”

Different Algorithm Stage, Differentiated Demand for Training Data ByteBridge: a Human-powered Data Labeling SAAS Platform Three Basic Elements in AI The algorithm, computing power, and data are the three basic elements of the development of artificial intelligence. Just as a triangle needs three sides to stabilize its shape, artificial intelligence will also need all three elements to perfect itself.Continue reading “The different algorithm stage the differentiated demand for data”

You have many options when choosing metrics for evaluating your machine learning models. Select the right one for your situation with this guide that considers metrics for classification models. Originally from KDnuggets https://ift.tt/38LQdaX source https://365datascience.weebly.com/the-best-data-science-blog-2020/metric-matters-part-1-evaluating-classification-models

In this article, we will understand the difference between data verification and data validation, two terms which are often used interchangeably when we talk about data quality. However, these two terms are distinct. Originally from KDnuggets https://ift.tt/38LqIXh source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-validation-and-data-verification-from-dictionary-to-machine-learning

See the progress the author has made since last time, after setting themselves the challenge of solving Sudoku puzzles using an optimized inference engine, along with a few other advanced features of FICO® Blaze Advisor®. Originally from KDnuggets https://ift.tt/2OCFuJd source https://365datascience.weebly.com/the-best-data-science-blog-2020/sudoku-rules-using-a-decision-engine-to-solve-sudoku

The latest KDnuggets survey is looking to determine the job satisfaction levels of the data community. Take a few moments to contribute your answer and help paint a picture of the current situation. Originally from KDnuggets https://ift.tt/3bOz2Ya source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-community-job-satisfaction-survey

Tldr: Corporate AI failures can be ascribed to poor Intuition, Process, Systems, People The promise of AI is real. We are at the crossroads of the next industrial revolution where AI is automating industrial processes and technologies that were hitherto considered state-of-the-art. AI is expected to create global commercial value of nearly USD 13 Trillion byContinue reading “Why Corporate AI projects fail? Part 1/4”

Data Labeling — How Data Annotation Service Helps Build a Smarter Finance Industry? ByteBridge: a Human-powered Data Labeling SAAS Platform Smart Finance With the large-scale commercial application of deep learning and computer vision technology, the combination of the financial industry and artificial intelligence has become more closely, and the wave of intelligent finance has begun to sweep theContinue reading “How AI builds a smarter Finance industry?”

What is Machine Learning? Machine Learning is the process of letting your machine use the data to learn the relationship between predictor variables and the target variable. It is one of the first steps toward becoming a data scientist. There are two kinds of Machine Learning; supervised, and unsupervised learning. In supervised learning, there areContinue reading “Machine Learning by Using Regression Model”