All Summarised YouTube Videos
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Ethereum: Dubious Speculation | Benjamin Cowen YouTube Video Summary
In this video, Benjamin Cowen discusses Ethereum, including speculative ideas. Benjamin shares that the forecast for a while has been that Ethereum would not go to all-time highs until after it first went home to the regression band. A possible scenario is that Ethereum puts in a slightly higher high very early in September, but that is very likely to be the final divergence before coming back down.
Benjamin Cowen
12 mins
about 1 month ago
Bitcoin: Entry/Exit Strategies | Benjamin Cowen YouTube Video Summary
In this video, Benjamin Cowen talks about entry and exit strategies for bitcoin with various dollar-cost averaging (DCA) strategies. He focuses on entry based on risk-levels and discusses dynamic DCA strategies, in addition to exit startegies based on user risk tolerance with strategies on when to buy and sell. The most important takeaway is having a plan and sticking to it and being okay no matter what.
Benjamin Cowen
34 mins
almost 2 years ago
The Truth About Bun | Theo - t3․gg YouTube Video Summary
Theo talks about the Bun runtime and why it is as performant as it is. Theo highlights how important the Node community is and that Bun could not have existed without it. Theo discusses some key insights on how to use bun and some future plans that he has heard the Oven team is planning to implement. Theo states he does not think people should be trashing Node developers and should be more thankful for all the work they have provided.
Theo - t3․gg
13 mins
about 2 years ago
Complete Machine Learning Course in 60 Hours - Part 3 | Full Machine Learning Course for Beginners | Siddhardhan YouTube Video Summary
Siddhardhan introduces part three of his complete 60-hour machine-learning course. He recaps Part 1, which covered machine learning basics, Python libraries, and data pre-processing. Part 2 explored mathematics for machine learning and machine learning models, including linear algebra, statistics, probability, and gradient descent. Part 3 focuses on building machine learning models from scratch, including linear regression, logistic regression, support vector machines, and lasso regression.
Siddhardhan
711 mins
about 3 years ago
Solve any Pattern Question - Trick Explained | 22 Patterns in 1 Shot | Strivers A2Z DSA Course | take U forward YouTube Video Summary
In this video, the speaker begins to explore the Must do Pattern Problems list of Striver's A2Z DSA Course. He gives tips for solving questions about patterns including the need for loops. The video states the reason for practicing patterns is to master loops and build a strong foundational knowledge of DSA in general. He continues to explain how to combine patterns, what is a test case, and how to check if an algorithm works. He continues to discuss an online compiler which he can use to test his patterns, while still solving them.
take U forward
82 mins
almost 3 years ago
C++ Basics in One Shot - Strivers A2Z DSA Course - L1 | take U forward YouTube Video Summary
The video is a comprehensive introduction to C++ programming, covering fundamental concepts such as data types (int, long long, float, double, string, char), input and output operations, arrays (both 1D and 2D), control statements (if-else, switch), and loops (for, while). It teaches by writing code and explaining code alongside Google searches of data types and related concepts. The video serves as the first lecture in a series, the 'Striver's A2Z DSA Course' by take U forward.
take U forward
86 mins
almost 3 years ago