Tag Archives: machine learning

Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

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Video Description

In this comprehensive course on algorithmic trading, you will learn about three cutting-edge trading strategies to enhance your financial toolkit. In the first module, you'll explore the Unsupervised Learning Trading Strategy, utilizing Su0026P 500 stocks data to master features, indicators, and portfolio optimization.

Next, you'll leverage the power of social media with the Twitter Sentiment Investing Strategy, ranking NASDAQ stocks based on engagement and evaluating performance against the QQQ return. Lastly, the Intraday Strategy will introduce you to the GARCH model, combining it with technical indicators to capture both daily and intraday signals for potential lucrative positions.

💻 Code and course resources: https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning/tree/main

🔗 You can sign up for the data API used here: https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=lachezarytu0026utm_source=youtubeu0026utm_medium=youtubeu0026utm_campaign=lachezarfcc

🔗 Learn more about Lachezar and Quantitative Trading with Python here: https://www.quantfactory.ai/p/become-a-quant-trader1

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

⭐️ Contents ⭐️
0:00:00 – Algorithmic Trading u0026 Machine Learning Fundamentals
0:15:25 – Building An Unsupervised Learning Trading Strategy
2:05:08 – Building A Twitter Sentiment Investing Strategy
2:28:08 – Building An Intraday Strategy Using GARCH Model

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

—

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Unlock the Secrets of Prompt Engineering: Master ChatGPT and LLMs!

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Explore the world of prompt engineering with this comprehensive guide designed to enhance your interactions with ChatGPT and other large language models (LLMs). Whether you’re a novice or seasoned in the field, these techniques will elevate your command and control over AI responses, ensuring more precise and accurate outputs.

Video Overview

Exploring the Video Content

Learn about prompt engineering and how to apply it effectively to get the most out of ChatGPT and other LLMs. This course is crafted by @aniakubow and supported by Scrimba, a pioneer in interactive learning that has revolutionized coding education. The channel appreciates support from various sponsors who have contributed to the channel’s success.

Key Topics Covered in the Video

The video outlines critical aspects of prompt engineering, including:
– Introduction to prompt engineering
– A brief overview of artificial intelligence
– The importance of machine learning
– Insights into linguistics and language models
– Developing a prompt engineering mindset
– Practical tips for using GPT-4
– Best practices for creating effective prompts
– Techniques for zero shot and few shot prompting
– Understanding AI hallucinations
– The role of vectors/text embeddings
– A comprehensive recap of all discussed topics

Multilingual Accessibility

This video has been made more accessible to a global audience through dubbing in multiple languages such as English, Spanish, Portuguese, and Hindi, using artificial voices provided by https://aloud.area120.google.com. The audio track language can be adjusted in the settings menu to accommodate various linguistic preferences.

Additional Resources

Learn coding for free and secure a developer job through https://www.freecodecamp.org. Explore hundreds of articles about programming at https://freecodecamp.org/news, offering a wealth of information to enhance your skills and knowledge in the tech field.

From Novice to Pro: My Journey to Becoming a Machine Learning Engineer with Python

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Python is essential for anyone looking to delve into machine learning. In this video, I outline my journey from a Python novice to a professional in data science and machine learning, providing a detailed guide for beginners. Watch to understand the fundamental steps to advance in this exciting field. Thank you for tuning in!

Introduction

0:00 – Are you ready to embark on your machine learning journey with Python?

Understanding Python’s Role in Machine Learning

0:33 – Exploring what Python means in the context of machine learning.

Key Python Libraries for Machine Learning

1:05 – A rundown of essential Python libraries that every ML enthusiast should know.

Acquiring Skills in Pandas, Numpy, Scikit-learn

1:45 – Tips on how to effectively learn and use Pandas, Numpy, and Scikit-learn for machine learning projects.

The Importance of Practice

3:30 – The significant benefits of hands-on practice by typing code manually.

Why This Method Works

4:27 – An explanation of why active learning through coding is highly effective.

Exploring Various Learning Approaches

5:00 – The advantage of studying machine learning from multiple perspectives.

Testing Your Knowledge

6:50 – Techniques to test and deepen your understanding of machine learning concepts, including the practice of deep copying.

Resources for Beginners

Links to essential books and resources for beginners in both machine learning and Python, helping you to save time and accelerate your learning journey.

Connect With Me

Details on how to connect with me via Medium and email for further guidance and to share your AI experiences in machine learning communities online.

Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED

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WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert.

Still haven’t subscribed to WIRED on YouTube? ►► http://wrd.cm/15fP7B7
Listen to the Get WIRED podcast ►► https://link.chtbl.com/wired-ytc-desc
Want more WIRED? Get the magazine ►► https://subscribe.wired.com/subscribe/splits/wired/WIR_YouTube?source=EDT_WIR_YouTube_0_Video_Description_ZZ

Get more incredible stories on science and tech with our daily newsletter: https://wrd.cm/DailyYT

Also, check out the free WIRED channel on Roku, Apple TV, Amazon Fire TV, and Android TV. Here you can find your favorite WIRED shows and new episodes of our latest hit series Tradecraft.

ABOUT WIRED
WIRED is where tomorrow is realized. Through thought-provoking stories and videos, WIRED explores the future of business, innovation, and culture.

Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED

If I Wanted a Machine Learning Job in 2025, I’d Do This

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Datacamp Machine Learning Engineer Track → https://datacamp.pxf.io/e1avmD
Datacamp Associate Data Scientist Track → https://datacamp.pxf.io/jeVXve

💌 Weekly machine learning tips u0026 FREE resume template → https://newsletter.egorhowell.com

🎯 1:1 Coaching / Mentoring → https://topmate.io/egorhowell/1203300

CONNECT WITH ME:
Blog — https://medium.com/@egorhowell
Instagram — https://www.instagram.com/egorhowell
LinkedIn — https://www.linkedin.com/in/egorhowell

Video transcript: https://towardsdatascience.com/if-i-wanted-to-become-a-machine-learning-engineer-id-do-this/

TIMESTAMPS:
0:00 Intro
0:09 Step 1
2:34 Step 2
5:04 Step 3
7:32 Step 4
10:17 Step 5

DISCLAIMERS u0026 DISCLOSURES
This content is for educational and entertainment purposes only and should not be considered as professional advice. Views and opinions are my own and do not represent or reflect the opinions of my current or past employer or any organisations I am associated with.

This description contains affiliate links that allow you to find the items mentioned in this video and support the channel at no cost to you. Thank you for your support!

FREE RESOURCES TO LEARN MACHINE LEARNING🔥 | Learn AI/ML/DL for FREE!

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Here are a list of free resources for you to learn machine learning. I've shown resources that I used to learn machine learning and deep learning. The best part about them is that they are free and available on YouTube and GitHub.

Many of you were asking me how to learn machine learning in 2020 in the comments, so I had to make this one!

Here are the links for them:
1. Linear Algebra Freecodecamp: https://www.youtube.com/watch?v=JnTa9XtvmfI

2. Linear Algebra MIT OCW: https://www.youtube.com/watch?v=7UJ4CFRGd-Uu0026list=PL221E2BBF13BECF6C

3. Linear Algebra 3 Blue 1 Brown: https://www.youtube.com/watch?v=fNk_zzaMoSsu0026list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

4. Probability and Stats: https://www.youtube.com/watch?v=j9WZyLZCBzsu0026list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8

5. Machine Learning Stanford by Andrew Ng: https://www.youtube.com/watch?v=PPLop4L2eGku0026list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN

6. Practical Deep Learning by FastAi: https://www.youtube.com/watch?v=0oyCUWLL_fU

7. Stanford CS231N: https://www.youtube.com/watch?v=vT1JzLTH4G4u0026list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk

8. Tech with Tim Machine Learning Mega Course: https://www.youtube.com/watch?v=WFr2WgN9_xE

9. Awesome Deep Learning GitHub: https://github.com/ChristosChristofidis/awesome-deep-learning
(Includes a ton of resources to learn machine learning)

10. Lex Fridman: https://www.youtube.com/user/lexfridman

11. Vincent Boucher: https://www.linkedin.com/in/montrealai/detail/recent-activity/shares/

12. Daniel Bourke Machine Learning: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ

🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟

Hey!! I am Ishan Sharma, Second year Student at 📍 BITS Pilani, Goa 🏫 pursuing Electrical Engineering 🔌. I enjoy reading books 📚 and solving problems 📝 using Computer Science 💻. This channel is on college, growth 📈 and everything in between. New videos every week 📅. We'll be talking about productivity ⏳, work life balance, career and more.

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💻Laptop Series: https://youtube.com/playlist?list=PLOafE8LUCSuYTLa-EY1EM2AU3b4G2AHOX

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Apple Podcasts : https://podcasts.apple.com/us/podcast/bits-cast-college-life-and-more/id1493720625?uo=4

✨ Tags ✨
FREE RESOURCES TO LEARN MACHINE LEARNING
Learn AI/ML/DL for FREE
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✨ Hashtags ✨
#college #machinelearning #artificialintelligence

CES 2025 Unveiled: NVIDIA’s Jensen Huang Kicks Off the Event with a Groundbreaking Keynote

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Join us for an electrifying experience as NVIDIA’s founder and CEO, Jensen Huang, takes the stage at CES 2025 in Las Vegas. This event promises to showcase the pinnacle of technological advancements in various sectors including personal tech, transportation, climate technology, and more. Don’t miss out on witnessing the future of technology unfold right before your eyes.

Video

Watch the live stream of Jensen Huang delivering the opening keynote at CES 2025, directly from Las Vegas. [Watch here](https://www.youtube.com/watch?v=fuq0Ncdsknk)

Video Description

Experience the excitement of CES 2025 with NVIDIA’s Jensen Huang as he unveils cutting-edge innovations. This multi-day event will cover the latest advancements in technology with a focus on artificial intelligence, machine learning, and more, setting the stage for a transformative future.

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