AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
Videos in this playlist 12
- Python and Pandas for Sentiment Analysis and Investing 1 - Download and Installing
- Python and Pandas for Sentiment Analysis and Investing 2 - Pandas Basics
- Python and Pandas for Sentiment Analysis and Investing 3 - Looking at our Data
- Python and Pandas for Sentiment Analysis and Investing 4 - Data manipulation
- Python and Pandas for Sentiment Analysis and Investing 5 - Removing Outlier Data Plots
- Python and Pandas for Sentiment Analysis and Investing 6 - Basics for a Strategy
- Python and Pandas for Sentiment Analysis and Investing 7 - Dynamic Moving Averages
- Python and Pandas for Sentiment Analysis and Investing 8 - Strategy Function
- Python and Pandas for Sentiment Analysis and Investing 9 - Mapping Function to Dataframe
- Python and Pandas for Sentiment Analysis and Investing 10 - testing
- Python and Pandas for Sentiment Analysis and Investing 11
- Python and Pandas for Sentiment Analysis and Investing 12
Advantages and disadvantages
Advantages
- Free and complete: every lecture is in the playlist, in order.
- Watch at 1.5x, skip what you know, rewatch what you don't.
- Completely free.
- Self-paced: start any time.
- A clear syllabus (12 videos) you can see before you start.
- Start watching right away, no sign-up.
Disadvantages
- No certificate, deadlines or graded work.
- Quality and depth vary: check that the playlist is finished before you start.
- No certificate.
- No graded assignments or feedback.
- Recorded in 2014: tools may have changed since.
Some points apply to every course of this kind; see how we rank.
Free
- Free: Watch on YouTube, no account needed.
- Certificate: None. Code or take notes along to make it stick.
Sentdex is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (72/100).
Similar courses
Generative AI Program
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
Artificial Intelligence
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…
Large Language Models (LLMs)
Explore the cutting-edge realm of Large Language Models (LLMs) with this expertly curated YouTube playlist. Featuring insights from industry leaders, educational content, and in-depth discussions, this selection highlights the latest advancements in LLM technology.