4 essential books for #DataScience #AI #DataScientists
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• Designing #ML Systems: https://
amzn.to/3V1IOex • #DeepLearning with #Python: https://
amzn.to/3H8xkAe • Transformers for #NLProc: https://
amzn.to/3LriRC2 • #MachineLearning with PyTorch… https://
amzn.to/41YhksJ
AI
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4 Essential Books for Data Science and AI Professionals
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Machine Learning with PyTorch and Scikit-Learn Book Released
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Massive 774-page book by @rasbt “#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Python” at http://
amzn.to/3J6DK4u ————
#100DaysOfCode #BigData #DataScience #AI #NeuralNetworks #DataScientists @PacktPublishing @PacktAuthors -
Top 19 Data Scientist Skills You Need in 2023
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Top 19 Skills You Need to Know in 2023 to Be a Data Scientist In this article, the top 19 skills you need to know in 2023 to be a data scientist. https://
bit.ly/3VaNLBZ -
Understanding Community Commerce and Its Role in Digital Marketing
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What is Community Commerce? https://
blog.cipio.ai/community-comm
erce-what-is
… by @cipioai ————
#DigitalMarketing #BehaviorAnalytics #B2B2C #CX #Loyalty #CustomerJourney #BigData #DataScience #AI #ML #Martech #Adtech #CMO #InfluencerMarketing #ContentMarketing #ContextMatters #SocialMedia #SocialMarketing -
Containerization and Kubernetes scaling for ML workloads
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1) Containerization provides consistent, reproducible behavior required for ML workloads.
2) Scaling gets first-class support in Kubernetes, unlocking scaling for training and experimentation. -
Ray Parallelization and Job Checkpointing for Distributed AI
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3) Leveraging Ray to parallelize work at large scale across multiple worker pods in the cluster to achieve performance benchmarks
4) Implementing job checkpointing ensures that jobs always run to completion and users see minimal interruption. -
Autoscaling compute clusters for parallel job execution
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5) Enabling autoscaling of the compute cluster to execute more jobs in parallel during periods of high activity and save cost during periods of low activity.
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Kubernetes Lessons Learned Running ML at Snorkel
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Snorkel tackles heavy ML workloads for some of the world's largest organizations. We have built our infrastructure on Kubernetes—even though it wasn't designed for ML! Here are a few lessons learned from @wheeliamhuang
, Tech Lead Manager at Snorkel https://
snorkel.ai/kubernetes-les
sons-learned-at-snorkel-ai/
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Academic Conference Equity: Unpaid Speaking Invitations in AI
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When I started as an Assistant Prof in 2019, I was invited to speak at a for-profit conference (targeted at industry, $2000/ticket). Wouldnt even cover travel (!), & hoped Waterloo/my grants would. Only now realize how rude it was. Headliner: Y. Bengio. Think he did it for free?
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Free RPA Certification Course Available for May
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!! Make 𝗠𝗔𝗬 your month of personal development!! I partnered with SS&C Blue Prism and LinkedIn Learning to make this #RPA certification course 𝗙𝗥𝗘𝗘 (for a month). So jump on this! 𝗦𝗵𝗮𝗿𝗲 it with your networks. Share it…lnkd.in/eFCH9f7u lnkd.in/e8Bj6pbV