When my friend quit his job and moved across the country, HR emailed him saying his final $3,800 paycheck was sitting at the front desk.
They said company policy required him to pick it up in person, even though he got paid by direct deposit for 3 years.
They held his money for 2 months knowing he wouldn't book a 4-hour flight.
Machine learning algorithms are categorized based on how they learn from data. Here’s a breakdown of key algorithms across different types of learning:
1. Supervised Learning
Algorithms that learn from labeled data to make predictions, widely used in classification and regression tasks.
2. Unsupervised Learning
Learn from unlabeled data by pattern recognition and clustering in the data, helping uncover hidden structures.
3. Reinforcement Learning
Agents learn by interacting with an environment and optimizing actions to maximize rewards over time.
4. Semi-Supervised Learning
Combines labeled and unlabeled data to improve learning efficiency, bridging the gap between supervised and unsupervised methods.
Explore more in the image below.
What are the algorithms you are using or have seen being used?
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🚨Leave Netflix tonight.
Watch this 2 h 34 min Stanford class.
It's the clearest, most complete, and brutally honest explanation out there on how ChatGPT and Claude are really built.
From Tokenization and BPE to the Transformer architecture, the training pipeline, and the next-token decoder. No fluff. No marketing. Just the truth.
Doesn't matter if you've never touched a line of AI code or if you spend your days launching Agents: by the end, you'll suddenly connect a ton of pieces you've been trying to fit together for years.
The real core boils down to this:
How text turns into numbers the model can "eat" (BPE tokenization)
The sole mission of a language model: predict the next token
How the Transformer uses Attention so tokens can pass messages to each other
In training, the NLL loss pushes the probability of the entire sequence
In generation, the decoder builds the response token by token
The big-picture view that takes most people years to form… this class delivers it to you complete in one sitting.
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25 POWERFUL AI tools you can’t ignore in 2026:
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3. https://t.co/vwpSldQOJs – create and publish videos
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5. https://t.co/bxPb0F0NQv - personal AI assistant
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7. https://t.co/BsDsaFxOD5 - best vibe coding website
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Save + Follow me
A front desk manager for a major US hotel chain quit her job last month.
11 years working the counter. Over 40,000 guests checked in.
We grabbed coffee on Thursday and she broke down how she plays the system whenever she travels on her own dime.
She walked me through 6 rules that completely changed how I book a room.
19 year old self taught coder built a cross exchange arbitrage bot with Claude Code in 36 hours.
Used a $40 VPS and free APIs.
First night: $2,180 profit.
Starting capital: $52.
Total so far: $186,000.
The bot watches 40+ pairs across Binance, Bybit and OKX every 800ms.
It only enters when the price gap is already confirmed on one exchange and still open on another.
No prediction. No chart watching. Just speed.
He wrote the full logic in Claude Code, connected the APIs, and let it run.
Most people are still manually checking charts.
This setup finds the gap and exits before the spread closes.
I'm giving the exact Claude Code prompt + setup for free (24 hours).
1. Comment " ARB "
2. Like & RT
3. Follow @Nexa_Tech_Ai so I can DM it.
🚨 URGENT: Claude can now CREATE a YouTube channel from scratch and take it to monetization in just 90 days. 100% free.
Here are 8 prompts to achieve it:
FREE vs PAID AI TOOLS 2026 — The Ultimate Guide!
AI is changing the way we write, create content, edit videos, generate images, build apps, and get work done.
But with so many AI tools available, which ones are worth using for free, and which offer better features with a paid plan? 👀
Here’s a complete list of AI tools to explore in 2026 👇
✍️ Writing
• ChatGPT
• Claude
• Gemini
• https://t.co/WFQTpEU5T3
• Writesonic
• Grammarly
• QuillBot
• Jasper
🎬 Video Creation & Editing
• CapCut
• Canva
• Pika
• InVideo AI
• Luma AI
• Runway
• Sora
• Synthesia
• HeyGen
🎨 Image Generation
• DALL·E / ChatGPT
• Leonardo AI
• Midjourney
• Playground AI
• Ideogram
• Adobe Firefly
• Microsoft Designer
💻 Coding & App Development
• GitHub Copilot
• Replit
• Codeium / Windsurf
• Cursor
• Lovable
• https://t.co/czUhXcKU32
• Tabnine
🎙️ Voice & Audio
• ElevenLabs
• Suno
• Udio
• Descript
• Murf AI
• PlayHT
🔎 Research & Learning
• Perplexity
• NotebookLM
• Consensus
• Elicit
• Google Scholar
• Semantic Scholar
• Scite
🖌️ Design & Creativity
• Canva
• Figma
• Adobe Express
• AutoDraw
• Pixlr
• Adobe Photoshop
• Adobe Illustrator
• Inkscape
• Uizard
• Framer
💡 Free vs Paid: What should you know?
Some tools offer free plans with limited usage, while others require a subscription for advanced features, higher limits, or professional workflows.
You don't need to pay for every AI tool. Start with the free options, explore what works for you, and upgrade only when you need more.
🔖 Bookmark this guide so you can find these tools whenever you need them.
♻️ Share this post with someone who wants to learn AI, improve productivity, or create content faster.
👇 Which AI tool is your favorite, and which one would you recommend to others?
Follow @leonParkercoder for more
#AI #AITools #ArtificialIntelligence #Tech #Productivity
🚨 BREAKING NEWS: ChatGPT can transform any room into a designer-inspired space!
Upload one photo of your room and try these 7 powerful AI prompts to create your dream interior on a budget!
🤖 Save this post and give your room a fresh new look!
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