Author Archives: 365Data Science

Source Are you wondering that you will lose your job due to the COVID pandemic? Candidates are highly looking for careers in 2020. As the downturn is coming by the recent COVID widespread, there are still some job opportunities whose demand is here to stay. Yes, I am talking about Artificial Intelligence and Machine Learning.Continue reading “Five Ways Machine Learning and Artificial Intelligence Will Change your Career in 2020”

Learn and appreciate the typical workflow for a data science project, including data preparation (extraction, cleaning, and understanding), analysis (modeling), reflection (finding new paths), and communication of the results to others. Originally from KDnuggets https://ift.tt/2ZG3M6G source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-laymans-guide-to-data-science-part-3-data-science-workflow

This is a central aspect of Data Science, which sometimes gets overlooked. The first step of anything you do should be to know your data: understand it, get familiar with it. This concept gets even more important as you increase your data volume: imagine trying to parse through thousands or millions of registers and makeContinue reading “Exploratory Data Analysis on Steroids”

Source How does a complete beginner get into AI development? What learning resources does he/she use along the journey to learn about artificial neural networks, the basic AI algorithms, the simplest machine learning models and all that? “How important is a solid math background?” “And what programming language should I learn/deepen my knowledge of?” Here’s aContinue reading “How Do I Get Into AI Development? Where Do I Start? A Complete Beginner Guide to Learning AI”

Emergence of Data Science in Every Industry Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/applications-of-data-science-d82d1cec5e21?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/applications-of-data-science

A step-by-step beginner’s guide to containerize and deploy ML pipeline serverless on AWS Fargate. Originally from KDnuggets https://ift.tt/2C2QF7g source https://365datascience.weebly.com/the-best-data-science-blog-2020/deploy-machine-learning-pipeline-on-aws-fargate

Leveraging Spotify’s API and other sources for the Hit Song Science research field. The whole project (report and code source) can be viewed here. Introduction I decided to use my Master Thesis to apply the concepts of Machine Learning I have been learning over the year with online courses. The idea for me was to useContinue reading “Predicting Song Popularity Combining Audio Features with Metadata”

The acquisition of new skills and the transfer of knowledge acquired by others was essential to the development of human civilization. Without it, we would not have been able to build cities, cure diseases and certainly would not be able to go into space. Since the twentieth century, there has been a drastic development in theContinue reading “How do humans learn and how does the machine?”

Introduction: AI and ML are transforming our daily lives in many ways. Many of the business sectors have already adopted AI and ML to reduce the cost and for automating most of the tasks. In addition to these, AI has even become crucial for many businesses in validating their functionality, security, performance among other things.Continue reading “5 Ways Artificial Intelligence shapes the Future of Test Automation”

A character-level LSTM (Long short-term memory) RNN (Recurrent Neural Network) is trained on ~100k recipes dataset using TensorFlow. The model suggested the recipes “Cream Soda with Onions”, “Puff Pastry Strawberry Soup”, “Zucchini flavor Tea”, and “Salmon Mousse of Beef and Stilton Salad with Jalapenos”. Yum!? Follow along this detailed guide with code to create yourContinue reading “Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A step-by-step guide”