Algorithms and Data Structures in Python
Lege Grundlagen des Supervised, Unsupervised, Reinforcement und Deep Learning
Im Schnellverfahren zur Karriere, die dir vorschwebt.
Are you ready to conquer your next interview? To succeed, you need to understand the expectations.
Virtually all technical interviews follow a very set pattern: you get asked a very specific type of question, you're required to have very specific knowledge, and you're expected to answer—and interact with your interviewer—in a very particular way. Knowing this in advance, and preparing accordingly, is the key to success.
This course was designed to give you what you need to ace a technical interview. Included are:
The goal of this course is to prepare you for a real technical interview, so we focus on the material you'll actually be expected to do.
Rich Learning Content
Taught by Industry Pros
Student Support Community
Dieser kostenlose Kurs ist der erste Schritt auf dem Weg zu einer neuen Karriere mit dem Machine Learning Programm.
Erweitere deine Fähigkeiten und Karriere durch innovatives und unabhängiges Lernen.
Detaillierte technische Voraussetzungen
This course provides an introduction to topics that often show up on technical interviews. It is aimed at students who have never taken a course in algorithms and data structures, but want to learn the material. It can also be used to refresh on these topics for those who have seen them before. In addition to video explanations, there are plenty of examples and discussions of the intricacies of different approaches.
This course is distinct from other similar offerings on Udacity. It is a precursor to the “Intro to Algorithms” course, and complimentary to the Interviewing Course listed in most career-focused Nanodegrees. This course is focused on explaining the technical content that show up in interviews, while the other course is more centered on behavioral questions and how to act in an interview.