datascience

📊 U.S. Jobs Market 2025 | Key Insights
1. Data Roles Leading Growth:
• Data scientists & analysts projected to grow ~34% this decade
2. Skills Are Evolving:
• Employers value AI integration, cloud tools, and business decision insights
3. Overall Market:
• Hiring has cooled slightly, but data roles remain resilient
4. Salaries Remain Strong:
• Competitive pay reflects high demand for analytical expertise
5. Opportunities & Challenges:
• Growth: healthcare analytics, BI, cloud platforms, AI-augmented roles
• Challenges: tech market cooling & rising competition
#WriteToEarnUpgrade #JobsData #DataScience #Analytics #CareerGrowth

Šeit ir 10 mašīnmācīšanās rīki, kas dekodē on-chain datus kā profesionālis 2025. gadā:

💕 Lūdzu, like un seko 💕

Labākie rīki
Nansen*: Izmanto ML vadītu maku grupēšanu, lai grupētu blokķēdes adreses identificējamās entitātēs un uzvedības kategorijās.

Glassnode*: Izmanto ML entitāšu pielāgotai piegādei, maku segmentācijai, ilgtermiņa turētāju analīzei un likviditātes struktūras modelēšanai.

Arkham Intelligence*: Izmanto grafu neironu tīklus un pielāgotus ML modeļus, lai deanonimizētu un kartētu darījumus.

Chainalysis Reactor*: Klasificē risku līmeņus, novērtē darījumus un atklāj aizdomīgas shēmas, izmantojot uzraudzītu mācīšanos.

TRM Labs*: Identificē neparastas līdzekļu plūsmas struktūras un vairāku lēcienu maršrutus, izmantojot ML grupēšanas modeļus.

IntoTheBlock*: Piedāvā AI vadītu cenu prognozēšanu un atbalsta/izturības klasteru identifikāciju.

Sentora*: Apvieno on-chain, off-chain un tirgus datus, izmantojot ML vadītus rādītājus.

Footprint Analytics*: Tīra, normalizē un standartizē neapstrādātus blokķēdes datus, izmantojot ML modeļus.

Moralis*: Nodrošina ML uzlabotas datu plūsmas reāllaika ieskatiem.

Messari Cortex*: Analizē on-chain, sociālos un ziņu datus, lai ģenerētu ziņojumus un identificētu naratīvus.

Šie rīki palīdz progresīviem lietotājiem dekodēt sarežģītu blokķēdes aktivitāti, atklāt slēptās shēmas un iegūt rīcībspējīgus ieskatus.

#MachineLearning
#OnChainData
#CryptoAnalytics
#Blockchain
#DataScience
$BTC
$ETH
$BNB

The $1INCH Trillion Lie: Your Favorite Chain Collapses When The Scientists Measure It

For months, I treated Plasma like a large, deterministic data system, stripping away the hype and measuring every cycle, every block, and every transaction as pure datum. What I found fundamentally changes how I evaluate distributed networks.

Most blockchains are reactive systems. They distort, fluctuate, and generate noise signatures when you try to observe them—like trying to measure a gas. As load increases, they produce "compression waves" that cause timing drift and unpredictable behavior. This is why forecasting on most Layer 1s, including $ETH, requires complex compensation models. You are always correcting for the system's inherent instability.

$XPL is different.

Across every measurement window—from block timing consistency to transaction density—Plasma produced almost identical, flat measurement lines. No spikes, no anomalous footprints, and zero compression artifacts under stress. It acts like a constant function where input fluctuations do not alter output characteristics.

This consistency is not just interesting; it is revolutionary. It means the system is measurable, repeatable, and fundamentally predictable. I no longer needed complex smoothing layers or weighted adjustments for my models. The forecasting error margins were negligible.

Trust in crypto is usually built on narrative. True trust is built on data that refuses to misbehave. This level of measured stability makes Plasma the most reliable substrate I have ever analyzed.

This is not financial advice. Do your own research.
#DataScience #Plasma #L2 #Scaling #CryptoEngineering
⚛️

Open Fabric AI ir ideāla risinājums izstrādātājiem, kuri meklē veidus, kā izveidot mērogojamas un efektīvas AI lietojumprogrammas. Ar saviem lietotājam draudzīgajiem rīkiem un robusto atbalstu mašīnmācības modeļiem, Open Fabric AI padara vieglāku AI risinājumu izveidi un ieviešanu dažādās nozarēs. No klientu pieredzes uzlabošanas līdz operatīvās efektivitātes paaugstināšanai, Open Fabric AI ir šeit, lai palīdzētu jums gūt panākumus.
#AI #OpenFabric #MachineLearning #TechInnovation #DataScience

Decentralizēta datu pārbaude
Datanets nodrošina datu uzticamību, izmantojot konsensusa mehānismu validācijai. Šis kopienas vadītais pārbaudes process minimizē aizspriedumus un krāpšanu, nodrošinot, ka specializētie AI modeļi tiek apmācīti uz precīzas un uzticamas informācijas bāzes, pārvietojoties tālāk par vienas avota paļaušanos.
#DataValidation #Consensus #DataScience #OpenLedger
$OPEN @OpenLedger

The $XPL System Is So Stable It Forced Me To Rewire My Brain

I spent years analyzing distributed systems, and the core of the job was always compensation. Every major chain, even $BTC , behaves like a reactive environment—it changes under stress, it distorts when monitored, and you must constantly adjust your tools to account for the noise. I treated these irregularities as fundamental laws of blockchain physics.

Then I started measuring Plasma ($BTC
I approached it purely as a data operation: Every transaction is a datum, every block a batch. What I found was a system that defies the norm. Most networks generate unpredictable compression waves and timing drift as density rises. Plasma does not. It maintains uniform timing regardless of load, acting like a constant function where input fluctuations do not alter output characteristics.

My baseline measurements were too consistent to believe. No spikes, no anomalous footprints, and measurement lines remained flat across different days and load periods. This consistency did not create excitement; it created confidence.

The system exhibits extremely high repeatability and low entropy noise. If I run the same measurement 100 times, I get the same data 100 times. This stability removes the need for complex smoothing layers and weighted adjustments in prediction models. Forecasting becomes mathematically straightforward.

A system that refuses to misbehave under constant observation is rare. Trust in this industry is often built on narrative. With Plasma, trust is built on data that simply refuses to lie.

Disclaimer: Not financial advice.
#DataScience #Plasma #L2 #$XPL 📊

Open Fabric AI ir jūsu vārti uz gudrāku, efektīvāku AI sistēmu veidošanu. Izstrādāts ar elastību prātā, šī platforma ļauj izstrādātājiem viegli eksperimentēt ar dažādiem modeļiem un ātri tos izvietot. Open Fabric AI atbalsta plašu lietojumu klāstu, sākot no datu analīzes līdz autonomām sistēmām. Atveriet AI potenciālu jau šodien un pārveidojiet savus projektus ar Open Fabric AI!
#Aİ #OpenFabric #TechInnovation #MachineLearning #DataScience

⚡"Dati + AI = Nepārspējama kombinācija"

Numeraire piedāvā decentralizētu AI hedžfondiem. Cena konsolidējas — izlaušanās var būt eksplozīvas.

#Aİ #DataScience #numeraire $NMR $BTC