climate change, the associated risks to the real economy and the financial sector, and financial inclusion are intrinsically connected. https://t.co/2nv8rXBAw5 via @worldbank
https://t.co/dJ5l5xhUwg
Debating Trump 2.0 and Implications for Africa – How the United States Trigger a Global Shake-Up in Climate Finance
Phemelo Tamasiga
16.05.2025
2. Go to markmap.js[.]org/repl
You will see two columns.
Delete whatever is in the left column and paste the code you copied from ChatGPT.
It will give you mind map. Download it.
I'm delighted to have co-authored this critical paper alongside other African global health experts (@seyeabimbola and @DrEmeruemJnr ) on how Africa's health systems can adapt and build resilience following the abrupt USAID cuts.
While Just Energy Transition Partnerships (JETPs) offer the possibility to decarbonization, they are hardly truly ‘just’. Learn how JETPs can prioritize social equity and inclusivity by looking at @PTamasiga 's analysis 📰of South Africa’s JETP 👉https://t.co/T4SvxvJYWH
A very interesting and recent study by @floegli, @Anna_Stz and @MichaelGrubb9 shows that 2022 oil & gas windfall profits alone could cover the existing commitments pledged to poorer nations for climate action .
#ParisAgreementgoals
#COP29 #ClimateFinance
https://t.co/O6ObulkrIE
Carbon pricing: a path way for emissions reduction or a driver of energy poverty? As we price emissions to curb climate change, the stakes rise for vulnerable communities. Reinvesting revenue into social programs and clean energy and uplift vulnerable communities. Carbon pricing should incorporate social equity and sustainability.
Read more in our article with @DrOnyeaka
https://t.co/NaEviEYSOC
#ClimateAction #SustainableFuture #CarbonPricing
Can decentralized renewable energy microgrids be the game-changer for underserved communities? Dive into the challenges and opportunities in our latest publication with @DrOnyeaka
https://t.co/GitJjUbK9I.
#EnergyAccess#SustainableFutures#SDGs
In a world where #climate_violence is normalized as natural and inevitable, I humbly present you this paper in @Pol_Geog_Jl to show why #Indigenous#adaptation also means confronting #climate_coloniality in settler colonial lands. Please share widely: https://t.co/qpAm5oTlo1
This was one of those moments in a career that one never forgets…
The original cast of Sarafina in studio rapping up youth month
#songsforKenya#prayingforkenya
If you are trying to get a data science job, make a data science project portfolio.
Don’t have one? I made this to help you.❤️
Link: https://t.co/SvAyy5SPgd
#datascience#portfolio#rstats
We are just a few hours to my 57th birthday and I want to reiterate the message I conveyed during my birthday dinner last year:
Build relationships; avoid burning bridges that took you from point A to point B because someday, you might find it necessary to cross back to point A for whatever reason in your life journey. Love people intentionally and genuinely; and be kind to everyone, regardless of their social standing.
With love,
Deputy Mother❤️
Kicking everyone's butt in your next machine learning interview is easier than you think:
• Pick a problem
• Build a training and evaluation pipeline
• Deploy it
• Set up a monitoring process
• Write about it
Nobody else will be even close.
Unfortunately, 99% of the books, tutorials, and videos don't go beyond training a model. Most people have no clue what happens after that.
That's why I built https://t.co/iZifcK7n47. Last week we finished the fourth cohort. It was the best, but the next one will be even better.
Here are some of the things you'll learn in this course:
1. How to use Scikit-Learn pipelines during model development and inference.
2. How to use experiment tracking during the training and tuning processes.
3. How to build a production pipeline to process, train, and deploy a model.
4. Model versioning and how to use the Model Registry to keep track of your models.
5. Model drift and how you can monitor models in a production system.
That's just the tip of the iceberg. On the first day, you'll start with a simple problem. By the end of the program, you'll have a system that looks like the attached picture.
We'll build everything from scratch. Step by step. From first principles.
This is a hands-on program. You'll spend most of your time writing Python. It will be challenging but fun.
Around 500 students have graduated from the program.
Consider joining to learn how to build real Machine Learning systems:
https://t.co/iZifcK7n47
You'll get immediate access to the following:
• The cohort. Cohort #5 starts on Aug 21. Cohort #6 starts on Sep 18.
• How to make money freelancing with Upwork. A $40 course that you'll get for free.
• A community of 500 engineers.
• Monthly sessions where we explore examples related to the latest AI developments.
The best part is that there are no recurring charges. Ever. You pay to join once and get the benefits forever.