Python is one of the simplest languages to start coding with, yet it is used in some of the most challenging problems in the world. And… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/what-can-you-do-with-python-in-2021-python-real-life-applications-e5b5ee8c95e9?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-can-you-do-with-python-in-2021-python-real-life-applications
Author Archives: 365Data Science
K-Means 8x faster 27x lower error than Scikit-learn in 25 lines
K-means clustering is a powerful algorithm for similarity searches, and Facebook AI Research’s faiss library is turning out to be a speed champion. With only a handful of lines of code shared in this demonstration, faiss outperforms the implementation in scikit-learn in speed and accuracy. Originally from KDnuggets https://ift.tt/3oILg8S source https://365datascience.weebly.com/the-best-data-science-blog-2020/k-means-8x-faster-27x-lower-error-than-scikit-learn-in-25-lines
BI Analyst Resume Sample and Template
Business Intelligence Analyst Resume Downloadable Template Business Intelligence analyst jobs are highly coveted and setting yourself apart from the competition can be challenging, even if you possess the perfect blend of education, skills, and experience. So, to land an interview at your target company, you should make writing a perfect Business Intelligence analyst resume yourContinue reading “BI Analyst Resume Sample and Template”
Cleaner Data Analysis with Pandas Using Pipes
Check out this practical guide on Pandas pipes. Originally from KDnuggets https://ift.tt/2N8tEW8 source https://365datascience.weebly.com/the-best-data-science-blog-2020/cleaner-data-analysis-with-pandas-using-pipes
8 New Tools I Learned as a Data Scientist in 2020
The author shares the data science tools learned while making the move from Docker to Live Deployments. Originally from KDnuggets https://ift.tt/3iaDsue source https://365datascience.weebly.com/the-best-data-science-blog-2020/8-new-tools-i-learned-as-a-data-scientist-in-2020
Write Your First AI Project in 15 Minutes
In this tutorial, we will code an AI project with TensorFlow and Keras that can recognize hand written digits. If this your first time… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/write-your-first-ai-project-in-15-minutes-a287ed348e7c?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/write-your-first-ai-project-in-15-minutes
The Why What and How of Affective Computing
Affective Computing is all about computers understanding human emotions. By computer I mean a robot, your car, your laptop, or even your phone. And, you could be thinking: Why we want computers to be able to do that? How computers could be able to do it? Two very important questions. Let’s elaborate on them. Why? BecauseContinue reading “The Why What and How of Affective Computing”
Data Cleaning and Wrangling in SQL
SQL is a foundational skill for data analysts but its application is sometimes limited within the data pipeline. However, SQL can be successfully used for many pre-processing tasks, such as data cleaning and wrangling, as demonstrated here by example. Originally from KDnuggets https://ift.tt/3bF25Og source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-cleaning-and-wrangling-in-sql
Unsupervised Learning for Predictive Maintenance using Auto-Encoders
This article outlines a machine learning approach to detect and diagnose anomalies in the context of machine maintenance, along with a number of introductory concepts, including: Introduction to machine maintenance; What is predictive maintenance?; Approaches for machine diagnosis; Machine diagnosis using machine learning Originally from KDnuggets https://ift.tt/35ESqDK source https://365datascience.weebly.com/the-best-data-science-blog-2020/unsupervised-learning-for-predictive-maintenance-using-auto-encoders
My Data Science Learning Journey So Far
The obstacles I had in my data science learning journey in the last one year (I started in Dec 2019). How much time I took to overcome each obstacle and what it has taught me. Originally from KDnuggets https://ift.tt/3nGsde6 source https://365datascience.weebly.com/the-best-data-science-blog-2020/my-data-science-learning-journey-so-far
