@user-6c0c89aa
ojbk
[Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 20% (-1%) APPL 4% (--) AVGO 15% (+1%) GOOGL 13% (+3%) PANW 9% (-1%) CRWD 6% (--) MSFT 4% (-1%) TSLA 4% (+1%) AMZN 8% (-1%) VST 8% (-2%) TEM 9% (+1%) 1-year return +
EE-5011-FA Linear Algebra, looking for a Fall 24 exam paper. Most people who entered in Fall 24 probably took this course. Comp-5422-FA Image Processing
Also, if you're in ECE, you can ask me for info on previous courses. I took Computer Architecture and Big Data in Fall 2024. You can also search the keyword ECE directly on the site.
House located in north Thunder Bay, in a white community, friendly neighbors, very safe, with detached garage, 3km from school, 5min drive, 20min bus, nearby Walmart, Safeway, Shoppers, McDonald's, Burger King and other plazas, with washer, dryer, oven, heating, a large yard next to the house, roommates are all Lakehead graduate students, easy to get along with, looking for a new roommate, quiet at night, not too demanding, clean, welcome to leave a message to arrange a viewing
[Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 21% (--) APPL 4% (--) AVGO 14% (+4%) GOOGL 10% (-3%) PANW 10% (--) CRWD 6% (--) MSFT 5% (--) TSLA 3% (--) AMZN 9% (--) VST 10% (--) TEM 8% (--) 1-year return +31% near
[Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 21% (+1%) APPL 4% (-1%) AVGO 10% (--) GOOGL 13% (--) PANW 10% (-1%) CRWD 6% (--) MSFT 5% (--) TSLA 3% (-1%) AMZN 9% (--) VST 10% (+1%) TEM 8% (-1%) 1-year return +2
2025-05-28 [Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 20% (--) APPL 5% (--) AVGO 10% (+1%) GOOGL 13% (-1%) PANW 11% (-1%) CRWD 6% (--) MSFT 5% (--) TSLA 4% (+1%) AMZN 9% (-1%) VST 9% (+1%) TEM 9% (+1
Mission name: Smelt Capture Plan. Mission location: end of McKenzie Beach Avenue. Mission time: after dark. Mission gear: fishing net (required), searchlight (required), fishing waders (optional). Mission reward: smelt, can be deep-fried (recommended), steamed, grilled (recommended).
“If you are willing to take a break in Spring/Summer term, you need to request a leave of absence, and then get the approval from your graduate coordinator and submit it to me. I am attaching the form here. Please let me
On Steam, after the Enhanced Edition launched, I'm back in Los Santos. Looking for teammates to grind money and do missions together.
2025-03-14 [Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 20% (+1%) APPL 5% (--) AVGO 9% (--) GOOGL 14% (+1%) PANW 12% (+1%) CRWD 6% (--) MSFT 5% (--) TSLA 3% (-1%) AMZN 10% (+1%) VST 8% (-1%) TEM 8% (-2
Did anyone manage to snag a bargain today?
[Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 19% (+1%) APPL 5% (--) AVGO 9% (--) GOOGL 13% (-1%) PANW 11% (--) CRWD 6% (--) MSFT 5% (--) TSLA 4% (--%) AMZN 9% (-1%) VST 9% (--) TEM 10% (+1%) Summary: No significant changes in positions
Original link: Free_US_Investment_Agent_System Features Uses yfinance for real-time US stock market data analysis News sentiment analysis via AlphaVantage API AI-powered trading decisions Comprehensive backtesting functionality Detailed decision reasoning process Supports multiple trading strategies Environment requirements Python 3.11 Poetry dependency management tool AlphaVantage API key (get free from AlphaVantage
1, aconvert.com/cn document to PDF, image format conversion and compression, video format conversion, audio extraction, document compression. No registration or login required, use directly. 2, github.com/ocrmypdf/OCRmyPDF can convert various files to PDF, and can recognize handwriting, images, and other tasks that ordinary tools cannot complete. It also adds AI image restoration to automatically improve clarity. It is quite useful for repairing scanned textbooks found online.
[Original summary post: https://www.lakebbs.ca/post-013d6d7c] [Recommend bookmarking the original summary post] NVDA 18% (--) APPL 5% (--) AVGO 9% (--) GOOGL 14% (-1%) PANW 11% (+1%) CRWD 6% (--) MSFT 5% (--) TSLA 4% (-1%) AMZN 10% (--) VST 10% (+1%) TEM 9% (+2%) Summary: slight reduction in traditional
Implementation using third-party SiliconFlow + ChatBox. Principle: DeepSeek servers are unstable, so both the web and API are unstable. However, SiliconFlow servers host DeepSeek models, so calling DeepSeek models through SiliconFlow servers runs stably. Advantages: stable access to DeepSeek-R1 model. Disadvantages: because it uses SiliconFlow servers, SiliconFlow charges for API usage. New registered users get 14 yuan credit for free use. In testing, a simple question
As of now, Nasdaq +1.04%, QQQ +1.05%. Meanwhile, US-China trade talks are being prepared, YINN +7.25%
This guy really knows how to live 
With solid reasoning, this time I'm on his side 
Position: SDE Coding: Given all car rental records from last year, where each record contains pickup time, return time, and a corresponding record ID (e.g., id=101, pickup_time=3, return_time=5), find the minimum number of cars needed to satisfy all rental requests.
Position: Senior Data Engineer Location: Richmond, BC Job Requirements: Database and MySQL experience required. Key focus areas: 1. Database: Experience with MySQL, PostgreSQL, Redshift usage and query optimization 2. Coding: Kettle / Python 3. Other: AWS big data solutions, Linux operating system experience
[Original summary thread: https://www.lakebbs.ca/post-013d6d7c] [It is recommended to bookmark the original summary thread directly] NVDA 18% (-2%) APPL 5% (--) AVGO 9% (-1%) GOOGL 15% (+1%) PANW 10% (--) CRWD 6% (+1%) MSFT 5% (--) TSLA 5% (--) AMZN 10% (--) VST 9% (-2%) TEM 7% (--) Summary: compared to 01-22 holdings
[Innovation Points] 1. Pure reinforcement learning driven reasoning improvement: DeepSeek-R1-Zero is the first model trained entirely through large-scale reinforcement learning (RL) without supervised fine-tuning (SFT). Its innovation lies in verifying that pure RL can incentivize large language models (LLMs) to autonomously develop complex reasoning behaviors (such as self-verification, long chain-of-thought generation), breaking the traditional paradigm that relies on SFT. During training, the model naturally exhibits behaviors such as "reflection" and "multilingual mixed solving", and significantly improves performance through RL (e.g., AIME 2024 Pass@1 increased from 15.6% to
DeepSeek has begun restricting registrations outside China, and some users may not receive verification codes in their email; when using DeepSeek, you will increasingly see responses like "Sorry, there are too many people chatting with DeepSeek right now, please try again later." It's currently the Spring Festival holiday in China, and High-Flyer employees in Hangzhou and Beijing have started their vacation. I wonder if the on-duty staff at High-Flyer can optimize the server congestion issue during this holiday 
After a day of testing, I have cancelled the ChatGPT Plus renewal. Currently DeepSeek has an iOS app and a web version, but it does not support Windows or MacOS (you cannot download DeepSeek from the Mac App Store either). For those who need to deploy locally, you can find DeepSeek's source code repository: https://github.com/deepseek-ai/DeepSeek-V3. Currently it only supports Linux with Python 3.10 (Mac and Windows are not supported).
This Miata is just too cute!
Anyone in EMEC-5671 climate change still looking for a team?
[Original summary thread: https://www.lakebbs.ca/post-013d6d7c] [It is recommended to bookmark the original summary thread directly] NVDA 20% (-8%) APPL 5% (-12%) AVGO 10% (-5%) GOOGL 14% (+4%) PANW 10% (+3%) CRWD 5% (-2%) MSFT 5% (-1%) TSLA 5% (+1%) AMZN 10% (+7%) -------------Cleared-------------
