๐ท Map Listening Challenge ๐ท
Can you follow the directions and find the right building? ๐ท ๐ท Think carefully โ itโs trickier than it seems!
๐ท Drop your answer in the comments ๐ท
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This is the Grand Folder of resources.
What you will find in the folder:
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RT for others
Enterprise #MachineLearning requires these:
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3. Feature stores
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6. Model deployment
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8. Predictions API
9. #MLOps
Guess what?โฆ
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Large Language Models like ChatGPT can help you accomplish a lot as a dev.
For example, creating dynamic user interfaces, navigating through tons of textual data, & more.
In this course, you'll learn the basics & how to use LLMs in your coding projects.
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Object-oriented programming in under 3 minutes.
Object-oriented programming (OOP) is a programming paradigm in which programs are designed using ๐ฐ๐น๐ฎ๐๐๐ฒ๐ ๐ฎ๐ป๐ฑ ๐ผ๐ฏ๐ท๐ฒ๐ฐ๐๐. This design allows related functions and data to be grouped together in ๐๐ฒ๐น๐ณ-๐ฐ๐ผ๐ป๐๐ฎ๐ถ๐ป๐ฒ๐ฑ ๐ฎ๐ป๐ฑ ๐ฟ๐ฒ๐๐๐ฎ๐ฏ๐น๐ฒ ๐๐ป๐ถ๐๐.
A class is a template or blueprint from which objects are made from. Classes define the properties and methods that an object can have, and objects are unique instances of a class.
For example, let's say you want to create a life simulation game where players can adopt and raise pets. You would have a "Pet" class that defines the properties of each pet (like "name" and "age"), as well as behaviors they can do (like "speak" and "eat").
You could then create objects, or instances, of this class for each specific pet. Each object could have its own values for each property. For example, you could have a 2-year-old pet named "Winston", & a 1-year-old pet named "Wesley"; both initialized from the "Pet" class.
๐ข๐ฏ๐ท๐ฒ๐ฐ๐-๐ผ๐ฟ๐ถ๐ฒ๐ป๐๐ฒ๐ฑ ๐ฝ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐ต๐ฎ๐ ๐ฐ ๐บ๐ฎ๐ถ๐ป ๐ฝ๐ฟ๐ถ๐ป๐ฐ๐ถ๐ฝ๐น๐ฒ๐; ๐ฒ๐ป๐ฐ๐ฎ๐ฝ๐๐๐น๐ฎ๐๐ถ๐ผ๐ป, ๐ถ๐ป๐ต๐ฒ๐ฟ๐ถ๐๐ฎ๐ป๐ฐ๐ฒ, ๐ฎ๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป, ๐ฎ๐ป๐ฑ ๐ฝ๐ผ๐น๐๐บ๐ผ๐ฟ๐ฝ๐ต๐ถ๐๐บ.
๐๐ป๐ฐ๐ฎ๐ฝ๐๐๐น๐ฎ๐๐ถ๐ผ๐ป hides internal details but exposes data & methods via a public interface, preventing unintentional changes. E.g. โ a player can view a pet's age but can't accidentally change it. But they can run methods avail on the public interface like changing a pet's name.
๐๐ป๐ต๐ฒ๐ฟ๐ถ๐๐ฎ๐ป๐ฐ๐ฒ allows classes to inherit properties and methods from other classes, making code reusable and organized. E.g. โ A "SuperPet" class that extends from "Pet "and would inherit "age", "name", "eat", and "speak"; while defining new behaviors like "fly"
๐ฃ๐ผ๐น๐๐บ๐ผ๐ฟ๐ฝ๐ต๐ถ๐๐บ is a principle that enables objects to change their form by extending or overriding existing methods. E.g. A "Dog" & "Cat" class that extended from the "Pet", shouldn't share the same "speak" method. You'd override it to have its own logic like "woof" or "meow"
๐๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป reduces complexity by only surfacing the information needed for a given context or use case. E.g. A โPlayerโ class doesnโt need to know how the โeatโ method works in the โPetโ class, it just needs to know how to interact with it โ i.e. its input and output.
OOP provides a way to design your program that makes it ๐ฟ๐ฒ๐๐๐ฎ๐ฏ๐น๐ฒ, ๐๐ฒ๐ฐ๐๐ฟ๐ฒ, ๐๐๐ฎ๐ฏ๐น๐ฒ, ๐ฎ๐ป๐ฑ ๐ฒ๐ฎ๐๐ ๐๐ผ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ. But it isn't without disadvantages. A couple of arguments against it are that it can lead to over-engineering and complexity on a large scale.
~~
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10 years ago, Amazon found that every 100ms of latency cost them 1% in sales.
Thatโs a staggering $5.7 billion in todayโs terms.
For high-scale user-facing systems, high latency is a big loss of revenue.
Here are the top strategies to reduce latency:
1 - Database Indexing
2 - Caching
3 - Load Balancing
4 - Content Delivery Network
5 - Async Processing
6 - Data Compression
Over to you: What other strategies to reduce latency have you seen?
โ
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๐ง๐ผ๐ฝ ๐๐ฅ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐๐ ๐ฎ๐ป๐ฑ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฐ ๐
Did you know that data science and analytics are not just trending fields but also highly rewarding career paths?
โก According to the latest Glassdoor report, Data Scientists are earning an average of around $120,000 per year, while Data Analysts are bringing home about $70,000 annually.
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๐ญ. ๐๐ ๐ฐ๐ฒ๐น ๐ณ๐ผ๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ ๐ฎ๐ป๐ฑ ๐๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป
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๐ฎ. ๐๐ฒ๐ฎ๐ฟ๐ป ๐ฆ๐ค๐ ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ
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๐ฏ. ๐ฃ๐๐๐ต๐ผ๐ป ๐ณ๐ผ๐ฟ ๐ฒ๐๐ฒ๐ฟ๐๐ผ๐ป๐ฒ
Learn to program and analyze data with Python. Develop programs to collect, clean, analyze and visualize data.
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๐ฐ. ๐๐๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐ ๐๐ถ๐๐ต ๐ฃ๐๐๐ต๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฆ๐ค๐
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๐ฑ. ๐๐๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ ๐๐ถ๐๐ต ๐๐ ๐ฐ๐ฒ๐น ๐ฎ๐ป๐ฑ ๐ฅ
You will be able to work with Excel spreadsheets, Jupyter Notebooks, and R Studio to analyze data and create visualizations.
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๐ฒ. ๐๐๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ
Prepare for a career in the high-growth field of data analytics . In this program, you'll learn in-demand skills like Python, Excel, and SQL to be job-ready.
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๐ณ. ๐ฆ๐๐ฎ๐ป๐ณ๐ผ๐ฟ๐ฑ ๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐: ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด
Master key concepts and gain the practical knowledge to quickly and powerfully apply machine learning to challenging real-world problems
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๐ด. ๐๐๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ
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Happy Learning!!
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