Author Archives: 365Data Science

In this blog, I am demonstrating how to convert speech to text using Python. This can be done with the help of the “Speech Recognition” API and “PyAudio” library. Originally from KDnuggets https://ift.tt/30FK8dd source https://365datascience.weebly.com/the-best-data-science-blog-2020/easy-speech-to-text-with-python

Source I have a lot to say about education and how it has, in the years leading to our next industrial revolution, failed in it’s the purpose, and instead, has become a backdoor to ingenious stabilizations of political systems. Through the money it generates, it has vast influences on the policies our system emphasizes todayContinue reading “Education and the economy as we know it.”

How can we cluster images, even WITHOUT labels? And not based on colors, but based on the object, the HIGHER level features. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/learning-to-classify-images-without-labels-43655a1cb4c7?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/learning-to-classify-images-without-labels

Source You may already know that almost all the giant tech companies including Google, Facebook and Amazon have leveraged data in order to create their own business platforms. In the U.S., data scientists are experiencing some of the best job choices, based on the average salary and the number of available opportunities in the field.Continue reading “Data scientist and their future is seen bright for job analysts”

With so many types of data distributions to consider in data science, how do you choose the right one to model your data? This guide will overview the most important distributions you should be familiar with in your work. Originally from KDnuggets https://ift.tt/3fa4i2J source https://365datascience.weebly.com/the-best-data-science-blog-2020/overview-of-data-distributions

This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization. Originally from KDnuggets https://ift.tt/37gVPbr source https://365datascience.weebly.com/the-best-data-science-blog-2020/centroid-initialization-methods-for-k-means-clustering

Also: How to Think Like a Data Scientist; Python For Everybody: The Free eBook; Automated Machine Learning: The Free eBook. Originally from KDnuggets https://ift.tt/37ifV4S source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-may-stories-the-best-nlp-with-deep-learning-course-is-free

#BlackLivesMatter. In this issue: If you had to start statistics all over again, where would you start? New Poll: What was the largest dataset you analyzed? Another Great NLP Course from Stanford; Naive Bayes: Everything you need to know; GPT-3 – a giant leap for Deep Learning and NLP? Originally from KDnuggets https://ift.tt/2XOCtqY source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n23-jun-10-largest-dataset-you-analyzed-if-you-start-statistics-all-over-again-where-would-you-start-gpt-3

Dashboards have been the primary weapon of choice for distributing data over the last few decades, but they have brought with them a new set of problems. To increasingly democratise access to data we need to think again. Originally from KDnuggets https://ift.tt/3cPilsS source https://365datascience.weebly.com/the-best-data-science-blog-2020/count-the-data-notebook-everyone-can-use