RASHYYYYYYYYYYYYYYYYYYYYY
Today's match is coming to an end and it was far from being an easy game, despite my 47 goals scored across all competitions in 2021.
A tale of two Freds halves:
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How it started: https://gfycat.com/wigglydrearyavocet
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How it's going: https://mixture.gg/v/61e87ce9e4a29
Inspired from the Swedish person who posted about the one sidedness from the Swedish media about Russia. Im from America but itβs always interesting to see the same headlines in the same manner, being that Russia is always on the verge of invading/meddling in other ways with other countries? Of course we donβt all believe this but I was just curious on if the U.S. gets much media attention at all or if weβre the center point. ~Much love from the U.S.!
https://twitter.com/latbbolch/status/1455928094083010570
Bolch pointed out earlier this week that UCLA defensive coordinator Jerry Azzinaro has never been interviewed by the media once during his time at Westwood. He's the only Pac-12 OC/DC who hasn't been interviewed once since training camp.
https://twitter.com/latbbolch/status/1455322383925923845
Also he found this nugget:
https://twitter.com/latbbolch/status/1455322383925923845
Jerry Azzinaro to Philly reporters in 2015 on a growth mindset: βI think itβs important for all of us. I have to β no offense to you guys β but I donβt enjoy this. I have to have a growth mindset to come out here and not be all fβking pissed off. Iβm just being honest with you.β
Whip Media is transforming the global content licensing ecosystem with a market leading enterprise software platform that centrally connects data, processes and teams throughout the digital distribution journey. Powered by predictive insights and proprietary data, we enable the worldβs top entertainment organizations to efficiently distribute, control and monetize their TV and movie content to drive revenue and direct-to-consumer growth.
Whip Media is adding a Machine Learning Scientist to its Data Team in Santa Monica but, for the right candidate, weβre open to hiring in cities where our other Whip offices exist (New York & London) or remote work entirely. Our main goals as a team are to understand what drives demand for content among audiences around the world, and to use that understanding to transform the global content licensing ecosystem. You will be a primary contributor to our Machine Learning services and initiatives, translating our goals and ideas into data products through the creation and deployment of scalable, novel algorithms. We are looking for talented practitioners who love to play with the latest and greatest technologies, yet who deliver reliable and efficient systems. What will you do?
Translate our business strategy into a Machine Learning vision, then digest that vision into short- and long-term plans of execution.
Create, maintain, and iterate on our Machine Learning products that drive business-to-consumer apps, used by millions of users each month and business-to-business products, which back billions of dollars worth of decision-ing each month.
Work closely with the Data Engineering and Data Insights teams to ensure efficient extraction of signals from our extensive data sets.
Communicate findings with company leadership and external clients.
What do you need? 5+ years working as a Senior/Lead Data Scientist Experience creating data products that successfully address large scale-business challenges. Experience with all phases of the ML lifecycle, from ideation and experimentation to deployment in production environments. Experience with a variety of problem domains, including: timeseries forecasting, NLP, recommendation systems, etc. Strong Python programming ability. Proficiency with a variety of data processing and ML toolkits, including: PySpark, NumPy, Pandas, TensorFlow, Keras, scikit-learn, LightGBM, XGBoost, etc. Ability to write complex SQL queries, and a s
... keep reading on reddit β‘https://imgur.com/3fXPRUh
https://imgur.com/a/GSCqyMK
More like Young Boys 1 - 1 Young Boys, am I right?
Whip Media is transforming the global content licensing ecosystem with a market leading enterprise software platform that centrally connects data, processes and teams throughout the digital distribution journey. Powered by predictive insights and proprietary data, we enable the worldβs top entertainment organizations to efficiently distribute, control and monetize their TV and movie content to drive revenue and direct-to-consumer growth.
Whip Media is adding a Machine Learning Scientist to its Data Team in Santa Monica but, for the right candidate, weβre open to hiring in cities where our other Whip offices exist (New York & London) or remote work entirely. Our main goals as a team are to understand what drives demand for content among audiences around the world, and to use that understanding to transform the global content licensing ecosystem. You will be a primary contributor to our Machine Learning services and initiatives, translating our goals and ideas into data products through the creation and deployment of scalable, novel algorithms. We are looking for talented practitioners who love to play with the latest and greatest technologies, yet who deliver reliable and efficient systems. What will you do?
Translate our business strategy into a Machine Learning vision, then digest that vision into short- and long-term plans of execution.
Create, maintain, and iterate on our Machine Learning products that drive business-to-consumer apps, used by millions of users each month and business-to-business products, which back billions of dollars worth of decision-ing each month.
Work closely with the Data Engineering and Data Insights teams to ensure efficient extraction of signals from our extensive data sets.
Communicate findings with company leadership and external clients.
What do you need? 5+ years working as a Senior/Lead Data Scientist Experience creating data products that successfully address large scale-business challenges. Experience with all phases of the ML lifecycle, from ideation and experimentation to deployment in production environments. Experience with a variety of problem domains, including: timeseries forecasting, NLP, recommendation systems, etc. Strong Python programming ability. Proficiency with a variety of data processing and ML toolkits, including: PySpark, NumPy, Pandas, TensorFlow, Keras, scikit-learn, LightGBM, XGBoost, etc. Ability to write complex SQL queries, and a s
... keep reading on reddit β‘