#html#data_science#education#machine_learning#machine_learning_algorithms#machinelearning#machinelearning_python#microsoft_for_beginners#ml#python#r#scikit_learn#scikit_learn_python
Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5].
https://github.com/microsoft/ML-For-Beginners
http://aiohttp.readthedocs.io/en/stable/web.html#aiohttp-web-websockets
In order to implement a #web_server, first create a #request handler.
A request handler is a coroutine or regular function that accepts a Request instance as its only parameter and returns a Response instance:
#aiohttp#asyncio
from aiohttp import web
async def hello(request):
return web.Response(text="Hello, world")
Next, create an Application instance and register the request handler with the application’s #router on a particular HTTP method and path:
https://github.com/aio-libs/aiohttp/blob/master/docs/web_reference.rst
Server Reference
#asyncio#aiohttp#Request#BaseRequest#Server#client#Router#Resource
#typescript#ai_gateway#gateway#generative_ai#hacktoberfest#langchain#llama_index#llmops#llms#openai#prompt_engineering#router
The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.
https://github.com/Portkey-AI/gateway
YouTube Issues and Economic Updates
🔧 Users in Russia report ongoing issues with YouTube, marking another decrease in platform traffic, as confirmed by Google.
📊 The Russian Communications Ministry (RKN) plans to acquire data on user attempts to access blocked sites, though it already collects some relevant data.
⚙️ The Ministry of Economic Development aims to increase processing limits to enhance labor market flexibility amid personnel shortages.
📈 Predictions suggest the information security market in 2024 could grow by 30% to reach 593 billion rubles, though other estimates are lower.
📺 Yandex is negotiating with Haier, TCL, and Huawei for the installation of its OS on all their TVs supplied to Russia.
💰 AI search engine Perplexity successfully raised $500 million at a valuation of $9 billion, a significant increase from its earlier valuation of $1 billion.
🇺🇸 In the US, an investigation has been initiated against TP-Link over national security concerns, as they hold 65% of the domestic router market.
#YouTube#RKN#EconomicDevelopment#MarketGrowth#InformationSecurity#Yandex#Perplexity#Funding#TPLink#NationalSecurity#Russia#TechNews#AI#Router#Television#DataPrivacy#UserExperience#TrafficIssues