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Category: Edu-Videos

Edu-Video | “Machine Learning Infra @ Spotify: Lessons learned”

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Check out this presentation which is focussed on ML Systems at Spotify including less obvious pitfalls, which have caused troubles at Spotify. This talk assumes a certain level of familiarity with ML: You’ll get the most out of if you’ve some experience with applied ML, ideally on production systems.

Video | “Getting Hired as Data Scientist | Making a Career in Data Science”

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Are you interested in a career in Data Science? This video discusses the following:
– The Art of Data Science
– What a Data Scientist Does
– What makes a good Data Scientist or a Data Science Team
– Why are companies setting up Data Science Teams
– How long does it take to become a Data Scientist

Interview | “News Patterns Matter When Constructing Sentiment Trading Strategies”

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Since joining RavenPack in 2008, Peter Hafez, Chief Data Scientist, has been a pioneer in the field of applied news analytics, bringing alternative data insights to the world’s top banks and hedge funds. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations. What do you think are […]

Edu-VIDEO | Great Machine Learning Course from CalTech!- Lectures 1 thru 18 (free)

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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

Edu-Video | “Data Science vs Machine Learning” by Charles Martin

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So what is the difference?   “Data Science vs Machine Learning” “A simple distinction between Data Science vs Machine Learning for project managers and team leads.”  by Charles Martin, PhD Data Science & Machine Learning Expert (YouTube Channel) OTHER: Artificial Intelligence Vs. Machine Learning Vs Data Science  Vs Deep Learning   My Quora Answer to:  What […]

Edu-Video | GOTO Chicago 2017 | “Streaming Architectures for Data Sets that Never End” by Dean Wampler- Big Data Architect at Lightbend & O’Reilly Author

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In this video from the GOTO Chicago 2017 conference,  Dean Wampler (Big Data Architect at Lightbend & O’Reilly Author) explains the streaming Data Architecture and helps to demonstrate the key features to consider when choosing which streaming products to utilize.  He speaks about Apache Beam, Flink, Akka Streams, Kafka Streams and Apache Spark and addresses determining factors like latency and volume.