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所在平台: Udemy |
课程主页: https://www.udemy.com/course/100-data-science-interview-questions/
课程评论：没有评论
**课程名称：** 100 道数据科学面试题 **课程概述：** 本课程是一门极其实用且贴近实际的数据科学面试准备课程。它并非轻松的理论讲解，而是将学员置于真实的数据科学工作中，直面日常面临的挑战，如数据损坏、异常值、不规则数据等，让学员亲身体验数据科学家的痛点。 **课程目标：** * 为准备数据科学面试的学员提供大量的练习题目。 * 帮助学员巩固和检验自身的数据科学概念理解。 * 全面提升学员在数据科学面试中的竞争力。 **课程内容：** 课程涵盖广泛的主题，包括但不限于： * 概率与统计 * 数据科学基础 * 机器学习算法（涵盖常见的面试高频问题，如偏倚-方差权衡、在不平衡数据上评估算法、梯度下降 vs. 随机梯度下降、CNN Encoder-Decoder 结构、Softmax 函数应用等） * 神经网络与深度学习 * 实际项目经验 * 大数据技术 * SQL 数据库操作（例如：查询第二高薪资的 SQL 语句） * 计算机科学基础（例如：无序数组的平均搜索时间复杂度） * 职业发展与企业文化（例如：“你为什么想在这里工作？”） * 脑筋急转弯与逻辑推理（例如：如何仅用骰子生成 1-7 的随机数） **课程特色：** * **极其动手实践**：强调实际操作中的问题解决。 * **极其实用**：直接对接真实世界的数据科学挑战。 * **极其真实**：模拟面试中的真实压力和问题。 * **详尽的答案解析**：即使无法独立解答问题，也能通过详细的解释理解解题思路。 * **持续更新**：课程内容将根据行业发展进行未来更新。 * **全面的测试系列 Bestand**：旨在帮助学员在数据科学/机器学习面试中脱颖而出。 **讲师背景：** 讲师具备从计算机科学博士到大型科技公司高级数据科学家的转型经验，分享了自己准备面试和面试他人的宝贵经验，提供了超过 150 道数据科学面试题目及答案。 **职业前景：** 数据科学家是回报丰厚且极具未来保障的职业之一，被 Glassdoor 评为美国最佳职业，极具增长前景，平均年薪高达 110,000 美元。
Extremely Hands-On.Incredibly Practical.Unbelievably Real!This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!This course is for anyone who wants questions to practice for their next Data Science Interviews or want to test the understanding of their concepts.The course covers a vast range of topics from probability and statistics to Data Science and Machine Learning Algorithms. This course doesn't waste your valuable time.If you do not get the answers to a question, you can understand how to solve them from our well-detailed explanations.Also, please note that the course will be updated in the near future.This is the most comprehensive Test Series online which will help you ace your Data Science/Machine Learning interviews.Being a data scientist is one of the most lucrative and future proof careers with Glassdoor naming it the best job in America for the third consecutive year in a row with great future growth prospects and a median base salary of $110,000. I have recently made the transition from being a PhD student in Computer Science to a Senior Data Scientist at a large tech company. In this course I give you all the questions and answers that I used to prepare for my data science interviews as well as the questions and answers that I now expect when I am giving interviews to potential data science candidates. The course provides a complete list of 150+ questions and answers that you can expects in a typical data science interview including questions on machine learning, neural networks and deep learning, statistics, practical experience, big data technologies, SQL, computer science, culture fit, questions for the interviewer and brainteasers.What questions will you learn the answer to?What is the bias-variance tradeoff?How would you evaluate an algorithm on unbalanced data?When would you use gradient descent (GD) over stochastic gradient descent (SDG), and vice-versa?Why do segmentation CNNs typically have an encoder-decoder style / structure?Why we generally use Softmax non-linearity function as last operation in-network?You randomly draw a coin from 100 coins - 1 unfair coin (head-head), 99 fair coins (head-tail) and roll it 10 times. If the result is 10 heads, what is the probability that the coin is unfair?Given the following statistic, what is the probability that a woman has cancer if she has a positive mammogram result? 1% of women have breast cancer, 90% of women who have breast cancer test positive on mammograms and 8% of women will have false positives.Write a SQL query to get the second highest salary from the Employee table. If there is no second highest salary the query should return null.What is the average time complexity to search an unsorted array?Why do you want to work here?How can you generate a random number between 1 - 7 with only a die?
