Is Data Cooling Destroying Our Planet?
Welcome back to #10 of the Data Dive Diaries! That's 10 consecutive weeks the newsletter has been sent out now!
Welcome back to the Deep Dive Diaries Newsletter 👋
I hope you’re having a great week and putting your Data Analytics skills to the good use.
I’d love to hear what your working on..
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READ TIME: 4 mins and 13 seconds.
What lies ahead…
What I’ve been working on 🛠 - Big Data LDN, AWS CCP, Back to basics
Data Digest: Latest Insights 🚀- Environmental impact of data cooling
Data Science Demystified 🪄- China’s computer vision algorithms
Community Spotlight 🌈- The Data Science Guy
What I’ve been working on 🛠
Big Data LDN
The time to attend my first ever data conference (and first conference) has arrived!
I’m super excited to be attending the event.
It’s a great opportunity I couldn’t miss out on..
For me to learn, network and observe how the pros do it (Imposter syndrome is definitely there).
But you know what..
F*ck it.
It is through pushing yourself outside of your comfort pit..
(I prefer pit as it sounds like somewhere you want to escape)
That the biggest opportunities for growth present themselves.
Expect updates next week (and pictures) of how I found BDL 2023!
AWS Cloud Practitioner Course (CCP)
As many of you know, I have been diligently working towards my CCP certification.
Over the last week, I have completed quite a few practice tests.
Initially, I was only scoring around 68%...
FAIL!
But now, I'm consistently scoring above 80% (with 70% required to pass).
This has given me even more confidence, which I will carry forward.
Having said that, I am going to take an extra week to revise for the exam.
One additional week of revision is entirely worth it to ensure I pass.
The end of my CCP revision is approaching.. but my data journey has only just begun!
R Programming A-Z™: R For Data Science
During my time in the #100DaysOfCode challenge, I have increasingly been writing more complex code, including building Machine Learning models to solve real-world business problems.
This has been an exhilarating journey, and I feel like I've experienced a sort of enlightenment.
I know it may sound..
Dramatic.
But, it's genuinely true.
The possibilities with coding are limitless, and for me, Machine Learning algorithms play a significant role in this journey.
However, they can be quite complex and may not be necessary at my current level (maybe it's level 0?).
I'm delving into them purely for the sheer joy of learning.
In light of this, I've decided to go back to basics, focusing on building a strong foundation in R to ensure it doesn't crumble later in my career.
I've started a new course with instructor Kirill Eremenko, who was also one of the instructors for the ML A-Z course!
Kirill has a talent for explaining complex operations and topics in simple terms.
Data Digest: Latest Insights 🚀
Searching for sustainability in data centre cooling
Global warming represents one of the most urgent and far-reaching challenges facing humanity today.
Almost daily on the news, we see the devastating effects that GW has on our communities and livelihoods.
With this in mind, I think it’s important to consider how we can best combat this, and be proactive.
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The article discusses the environmental impact of data centres.
It explores various strategies and innovations for making data centre cooling more sustainable.
Data centres are known for their environmental impact due to their continuous operation and the generation of significant heat.
To address this issue, data centre managers and sustainability leaders are seeking greener and more effective cooling strategies, including:
🟣 Liquid and Immersion Cooling: Liquid cooling is becoming increasingly popular as an eco-conscious technique.
Recent innovations have addressed concerns like potential electrical issues from water leaks and biofilm corrosion.
🟣 Cold Plates: Cold plates are another liquid cooling strategy where plates are assigned to heat sources.
This technology allows for exponential scaling and can be integrated into sustainable cooling approaches.
🟣 Modular Designs: Modular designs provide a cost-effective way to improve data centre efficiency while reducing energy consumption.
They enable customised floor plans and easy replacement and upgrading of individual components, making it more adaptable to new technologies.
🟣 Green IoT Monitoring: Internet of Things (IoT) sensors and monitors are valuable for sustainability analytics.
They help identify temperature changes, faults in infrastructure, and suggest updates for more efficient positioning.
IoT devices help prioritise and allocate budgets for sustainability efforts.
Achieving sustainability in data centre cooling goes beyond replacing old technology.
It requires a combination of practical tech upgrades, research and development, collaboration among stakeholders.
How do you think we can transform data centre cooling into a model of environmental responsibility 🤔
Data Science Demystified 🪄
Understanding license plate recognition with the CCPD computer vision datasets
In China, license plate recognition is not uncommon..
The article focuses on the Chinese City Parking Dataset (CCPD) and its relevance in computer vision applications.
The CCPD dataset boasts an extensive collection of over 300,000 real-life images of Chinese license plates
This offers unique characteristics that benefit research and development in this field, including:
🔴 Diversity: The dataset showcases a wide array of variations in fonts, colours, sizes, and styles of Chinese license plates.
Ensuring the robustness and generalisability of license plate recognition models.
🔴 Real-World Scenarios: It captures various lighting conditions, weather conditions, angles, and scenarios encountered in real-world situations.
This provides a realistic challenge for license plate recognition applications.
🔴 Large-Scale Annotation: Each image comes with detailed annotations, including license plate numbers, locations, and orientations, which facilitate effective model training and evaluation.
License plate recognition (LPR) involves the use of various machine learning algorithms to automatically detect and recognize license plates from images or video frames.
Community Spotlight 🌈
This week, we're shining the spotlight on the legend known as the “Data Science Guy,” none other than Nick Singh
I recently ordered Nick’s book, “Ace The Data Science Interview,” and shared it on X.
Shortly after, Nick responded to my post with words of encouragement!
I usually reserve shout-outs for small to medium-sized accounts, but I find Nick's willingness to engage with smaller accounts truly admirable.
X is indeed the place to connect with individuals who have a much larger following than you do.
If you're interested in Data Science, Nick is your go-to guy!
Make sure to drop him a follow and check out his book."
And that's a wrap for this week, Data Divers!
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It would make me super happy 😁
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Catch you on the flip side, Adam x