Learn how to get your data right through successful machine learning. Presented by Michelangelo D’Agostino, Head of Data Science at ShopRunner, and Kenneth Dallmeyer, Data Engineer at ShopRunner.
Free Webinar | Deep Learning – Introduction To Neural Networks (by databricks)
In this latest FREE Data Science Central webinar, they will show the relationship between neural networks and simpler ML models, and provide an understanding of what gives neural networks their expressive power.
Edu-VIDEO | Great Machine Learning Course from CalTech!- Lectures 1 thru 18 (free)
Great (free) Machine Learning course for beginners by Caltech University. Introduction to; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lectures 1 of 18 of Caltech’s Machine Learning Course – CS 156 by Professor Yaser Abu-Mostafa. Watch Video
Great Free Course: Harvard CS50 – Intro To Computer Science (Highly Rated!)
Whether you’re completely new to computer science or have a decent programming background (without formal training), this is a great FREE Course from Harvard called CS50 “Introduction to Computer Science”.
It can also be taken for certification or course credits as well (info in article). It’s easy to follow along and has received much praise from the 10’s of thousands who’ve taken it to date. In this post you will have direct access to all the video lectures and links to do more. Read More…
FREE Webinar | “The 7 Pillars To Getting Your First Job As A Data Scientist!”
Watch a free webinar by Mark Meloon, an experienced Data Scientist who has first hand experience with the difficulties landing that first gig as a Data Scientist.
He has helped a lot of others navigate and position themselves to get in the door and start their lucrative careers. It worth listening to what he has to say. His advice is proven to work. He’s given talks a major bootcamps (e.g. Metis, Galvanize) and have made a name for himself advising “aspiring” data scientist.
In this free training will show you his proven step-by-step system for landing the job of your dreams, even if you don’t have prior experience or a Ph.D.!
FREE Course | “Machine Learning in Python” | Online Curriculum
Free Machine Learning in Python Course | Online Curriculum springboard.com Use this free curriculum to build a strong foundation in Machine Learning, with concise yet rigorous and hands-on Python tutorials https://www.springboard.com/learning-paths/machine-learning-python/ Go!
Edu-Video | Introduction to Neural Networks (On-Demand Video)
VIDEO | Join this 6-module session which will take an insightful approach for anyone who wants to get started with deep learning and give intuition to explore the areas of DNN(Deep Neural Networks) April 11th or OnDemand.
Guide | How To Obtain a FREE “Open Source” Masters in Data Science
A FREE Masters in Data Science. More and more people are learning on-line via the flood of excellent “open source” resources of classes, ebooks, software, etc. Clare Corthell has created a website to allow anybody to take virtually the same curriculum offered for a Masters in Data Science for Free.
Will it be an official Masters? No, but an official Masters is not always what is needed. Often its the knowledge and experience working with the tools and techniques necessary to actually do Data Science. For some, this free curriculum will allow business-line leaders, Analysts and Programmers from other fields to fill in the education gaps and get better at their job, as well as, one step closer to being an actual Data Scientist. Read More
Online Course | “Understanding Data Science” with Doug Rose (via Lynda)
Last weekend I took the Lynda course “Understanding Data Science ” with Doug Rose. The class is designed for those that do not intend to be Data Scientists but want to become familiar with the process and terminology. The class has a running time of 1 hour and 16 minutes and covers includes the following […]
Podcast | Understanding Predictive Analytics (O’Reilly)
In this episode of the O’Reilly Data Show, O’Reilly’s online managing editor Jenn Webb speaks with Natalino Busa on the topic of predictive analytics, the challenges of feature engineering, and a new class of techniques that is enabling features to emerge from patterns within the data.
They also discuss the relationship between predictive techniques and high-quality microservices, and how machine learning is being used to improve financial services. Listen to Podcast