Programming 

Python Data: Python Data Weekly Roundup – Dec 27 2019

In this week’s Python Data Weekly Roundup: Picks On AI Trends from Data Natives 2019 This article provides a good overview of the Data Natives 2019 – Europe meeting and the main trends being discussed for 2020 and beyond.  For example, topics such as “AI and its use in Healthcare” and “AI and Ethics” looked like good talks. Ray for the Curious An excellent review of “Ray”, a distributed computing system for python.  Ray is: is an open-source system for scaling Python applications from single machines to large clusters. Its…

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Programming 

Reuven Lerner: My Black Friday sale is live! Take 50% off any course in Python or data science

As promised, the Black Friday sale has begun in my online store. Through Monday, my courses and books are all 50% off with the coupon code BF2019. This includes all eight of the video courses: Intro Python: Fundamentals (basic syntax and data structures) Intro Python: Functions (*NEW* writing and using functions) Comprehending comprehensions (using list, set, and dict comprehensions) Object-oriented Python (classes, instances, attributes, and methods) NumPy (using NumPy for numeric analysis) Pandas (*NOW COMPLETE* using Pandas for data analysis) Understanding and mastering Git Practice Makes Regexp (50 exercises to…

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Programming 

Artificial Intelligence, Machine Learning, Deep Learning, and Data Science — What’s the Difference?

Answer: Deep learning is a subarea of machine learning which is a subarea of artificial intelligence. Data science is an interdisciplinary area that combines all of those with math and programming skills to extract useful insights from data. “I’m trying to understand how the area of skills are related to each other, and one is a dependency of another. I hope you clarify for me where to start and how the path looks like. I know it’s a complicated question.” — Barakah, Python Freelancer Course Member Let’s start with a…

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MatLab 

Improving the Customer Journey with Flatfile’s Data Importer

This article was created in partnership with Flatfile.io. Thank you for supporting the partners who make SitePoint possible. Close your eyes and imagine what it is like to import data into your application. Now open them. Does it look something like this? When creating a new or improving an existing product, building useful features is, of course, priority number one. What many forget, though, is that in innovation is wasted when the product experience is not intuitive. When crafting the customer journey, a product manager must pay particular attention to…

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java 

Top 5 Data Science and Machine Learning Courses to Learn Online – Best of Lot

Many programmers and Computer Science graduates are moving towards Data Science and Machine learning hoping for better pay and career opportunity and there is a reason for it. Data Scientist and Machine Learning Specialist have been ranked the number one job on Glassdoor for last a couple of years and the average salary of a data scientist is over $120,000 in the United States according to Indeed. Data Science is not only a rewarding career in terms of money but also it provides the opportunity to solve some of the world's most…

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MatLab 

Rockset review: Real-time SQL for operational data

There are, or were, two kinds of SQL database—transactional (OLTP) and analytic (OLAP). After some technological advances, you could combine the OLTP and OLAP functionality and have a hybrid (HTAP). If you have an OLAP database that massively scales complex queries on historical data, then you have a data warehouse. To read this article in full, please click here (Insider Story)

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