The Complete Python Course for Machine Learning Engineers

@machinelearnbot

"I took a few of your courses and you are an amazing teacher. Your courses have brought me up to speed on how to create databases and how to interact and handle Data Engineers and Data Scientists. I will be forever grateful." "By taking this course my perception has changed and now data science for me is more about data wrangling. Welcome to The Complete Course for Machine Learning Engineers.


Aberdeen Data Meetup Oct 2018

#artificialintelligence

Have you heard the saying rubbish in rubbish out? We want to share our story on these issues and search for a solution with you. Due to unclear requirements, unformatted and inconsistent data structure the Business Intelligence team had a setback while creating data visualization reports. The team spent a lot of time in the ETL process. Which meant that we created less valuable reports.


Predicting Diabetes Using a Machine Learning Approach - DZone Big Data

#artificialintelligence

Diabetes is one of deadliest diseases in the world. It is not only a disease but also a creator of different kinds of diseases like heart attack, blindness, kidney diseases, etc. The normal identifying process is that patients need to visit a diagnostic center, consult their doctor, and sit tight for a day or more to get their reports. Moreover, every time they want to get their diagnosis report, they have to waste their money in vain. But with the rise of Machine Learning approaches we have the ability to find a solution to this issue, we have developed a system using data mining which has the ability to predict whether the patient has diabetes or not.



The 7 Best Data Science and Machine Learning Podcasts -- The Startup

#artificialintelligence

Data science and machine learning have long been interests of mine, but now that I'm working on Fuzzy.io I need to keep on top of all the news in both fields. My preferred way to do this is through listening to podcasts. I've listened to a bunch of machine learning and data science podcasts in the last few months, so I thought I'd share my favorites: Every other week, they release a 10–15 minute episode where hosts, Kyle and Linda Polich give a short primer on topics like k-means clustering, natural language processing and decision tree learning, often using analogies related to their pet parrot, Yoshi. This is the only place where you'll learn about k-means clustering via placement of parrot droppings.