1.最短路(Floyd、Dijstra,BellmanFord) 2.最小生成树(先写个prim,kruscal要用并查集,不好写) 3.大数(高精度)加减乘除 4.二分查找. (代码可在五行以内) 5.叉乘、判线段相交、然后写个凸包. 6.BFS、DFS,同时熟练hash表(要熟,要灵活,代码要简) 7.数学上的有:辗转相除(两行内),线段交点、多角形面积公式...
It's John Sonmez from simpleprogrammer.com. I have a question here that a lot of people have been asking lately since I did this video on “Do I need to learn algorithms?” Now, the question is “How to learn algorithms?” Obviously, that was—I must have known that was coming. Thi...
For more information on the template that I use, check out the post “How to Learn a Machine Learning Algorithm“. 4. Implement Machine Learning Algorithms Implementing machine learning algorithms is an excellent way to get a concrete understanding of how an algorithm works. There are many micro...
there’s no changing how many of those seats are filled. So, to drive the most revenue, airlines need to sell the greatest number of seats for the highest possible price. And to learn what that price is? They need to understand the nuances of passenger behavior and market demand. Gabe...
It is therefore natural to ask: did fast human calculators of the past use faster algorithms – in which case we can learn from their experience – or they simply performed all operations within a standard algorithm much faster? This question is difficult to answer directly, because the fast ...
That’s basically what algorithms do – they find the mostefficientway to get things done, or in other words, get the best results in the quickest time. Sam Mathematics professor Ian Stewart agrees. Listen as he explains how the algorithm called ‘bu...
How animals learn to generalize from one context to another remains unresolved. Here, the authors show that the abstract representations that are thought to underlie this form of generalization emerge naturally in neural networks trained to perform multiple tasks. W. Jeffrey Johnston & Stefano Fusi ...
We don’t know what the function (f) looks like or it’s form. If we did, we would use it directly and we would not need to learn it from data using machine learning algorithms. It is harder than you think. There is also error (e) that is independent of the input data (X). ...
Ultimately, your career goals will help determine how important DSA is for you. Best Way to Learn DSA There is no right or wrong way to learn DSA. It all depends on your learning style and pace. In this section, we have included the best DSA learning resources tailored to your learning...
algorithmic coding challenges that help to turn a learner into a pro in algorithmic design. The solutions to these challenges are checked automatically against 15+ test cases. These help students learn how to implement, test and debug fast algorithms for solving large and difficult problems in ...