Machine Learnings vs. Deep Learning: What's The Difference?

Today’s Menu 🥠

Machine Learning vs. Deep Learning
Microsoft’s Copilot App on Android
5 Trending AI-Powered Tools
Completely Random Memes

Fast Snacks 🥡

Experts Warn Against Telling Your Secrets To Chatbots
Confiding in ChatGPT about work gripes or political preferences could come back to bite users…

Anthropic Forecasts More Than $850M In Annual Rev
Three months ago the company told some nvestors it was generating revenue at $100M and expected that figure would reach $500M by the end of 2024…

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Machine Learning vs. Deep Learning 👨‍💻

What is Machine Learning (ML)?

Ever wonder how Netflix knows you binge-watched “Stranger Things” and now suggests “The Witcher”?

That’s Machine Learning (ML) for you – it’s a clever algorithm that tries to drive action toward a desired goal and learns from experience.

Think of ML like a chef who gets better with every dish, learning from both the recipe (supervised learning), the ingredients’ mix and match (unsupervised learning), and the customer’s reaction to tasting the final dish (reinforced learning).

ML is good at making smart guesses, whether it’s recommending your next TV binge or playing chess.

What is Deep Learning (DL)?

Now, imagine Deep Learning as an archaeologist who is not just looking for an ancient site, but is trying to carefully excavate and study each layer.

Each layer reveals more about the history and context of the site.

In Deep Learning, every layer of neural networks (our archaeological layers) uncovers and processes more complex patterns and information from the data (the historical artifacts).

Deep Learning models gain a deeper understanding of the data by analyzing it through multiple layers of neural networks.

Unlike ML, which often needs a bit of hand-holding in spotting features, DL is an independent archeologist who finds artifacts in raw data all by itself.

However, DL also needs lots of computational power to build its’ algorithm and provide solutions.

How do ML & DL work together?

It’s not always ML vs. DL; sometimes, they work together as dynamic duo where ML is the strategist, and DL is the executor.

For things like transfer learning, where they take a pre-trained DL model (like a veteran actor) and tailor it to new roles.

Or hybrid models, where they mix and match their skills to outperform in areas like healthcare and finance.

They’re Not Just Buzzwords

ML & DL are the game-changers of our digital world. From predicting stock markets to diagnosing diseases, they’re reshaping our future.

As they evolve, we’re not just building machines that think – we’re crafting ones that learn and adapt, much like us.

So, the next time you see a movie recommendation or use a voice assistant, remember, there’s some serious brainpower behind those bits and bytes!

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Snack Quiz: Choose The Real Image 🔍

Can you tell which image is real?

A. Image One 👆
B. Image Two 👇

Must Download: Copilot For Android 📲

Android users, prepare to gloat. Microsoft’s ChatGPT-like AI assistant, Copilot, has ditched the nest and launched its own app. (Take that iOS users!) This means you can ditch Bing and tap into a world of Copilot possibilities:

Chat with your AI co-pilot: Brainstorm ideas, get writing prompts, or get feedback for that spicy email you’re thinking about sending your boss – all in one app.
Become a design wizard: Piss off your graphic designer friends, and Generate stunning visuals for parties, presentations, or anything your imagination cooks up. DALL-E 3 is your magic brush now!
Write like Shakespeare (without the tights): Craft emails that impress, documents that dazzle, and even code that makes your techy friends jealous. Copilot is now your secret weapon.

But this isn’t just about fun and games (although it can be). Copilot gives you a front-row seat to the future of AI. This move marks another step towards AI being embraced by the masses, and quite frankly, we’re here for the ride.

So buckle up, download the app, and let’s co-pilot the future together! (Pun-fully-intended)