- KDnuggets™ News 21:n40, Oct 20: The 20 Python Packages You Need For Machine Learning and Data Science; Ace Data Science Interviews with Portfolio Projects - Oct 20, 2021.
The 20 Python Packages You Need For Machine Learning and Data Science; How to Ace Data Science Interview by Working on Portfolio Projects; Deploying Your First Machine Learning API; Real Time Image Segmentation Using 5 Lines of Code; What is Clustering and How Does it Work?
Clustering, Computer Vision, Data Science, Image Recognition, Interview, Machine Learning, Portfolio, Python
- Kedro-Airflow: Orchestrating Kedro Pipelines with Airflow - Mar 12, 2021.
The Kedro team and Astronomer have released Kedro-Airflow 0.4.0 to help you develop modular, maintainable & reproducible code with orchestration superpowers!
Data Science, Interview, Pipeline, Python, Workflow
- Mastering Time Series Analysis with Help From the Experts - Oct 28, 2020.
Read this discussion with the “Time Series” Team at KNIME, answering such classic questions as "how much past is enough past?" others that any practitioner of time series analysis will find useful.
Interview, Knime, Rosaria Silipo, Time Series
- The Ethics of AI - Oct 21, 2020.
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about a very important subject - the ethics of AI.
AI, Bias, Ethics, Interview
How to ace the data science coding challenge - Oct 15, 2020.
Preparing to interview for a Data Scientist position takes preparation and practice, and then it could all boil down to a final review of your skills. Based on personal experience, these tips on how to approach such a review will help you excel in the coding challenge project for your next interview.
Beginners, Challenge, Data Science, Interview, Programming
- Recommender Systems in a Nutshell - Jul 23, 2020.
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about recommender systems and the ways they are used.
Interview, Recommendation Engine, Recommender Systems
How to Think Like a Data Scientist - May 29, 2020.
So what does it take to become a data scientist? For some pointers on the skills for success, I interviewed Ben Chu, who is a Senior Data Scientist at Refinitiv Labs.
Career Advice, Data Analyst, Data Scientist, Interview
- Chatbots in a Nutshell - May 7, 2020.
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about chatbots and the ways they are used.
Chatbot, Interview, NLP
How to land a Data Scientist job at your dream company - Jan 31, 2020.
Job hunting for anyone just starting out as a data scientist can require grit, passion, and perseverance before finding the best opportunity. Follow this career search journey to learn what it took -- and the learning resources used -- to land the dream job.
Advice, Career, Data Scientist, Hiring, Interview, Resources
- 2 Questions for a Junior Data Scientist - Jan 24, 2020.
Academic credentials and experience with previous machine learning projects are important for kicking off a data science career. However, landing your first job out of school will require you to extend your thinking about projects and problems. Learn how one interviewer honed in on desired skills by considering these two questions.
Advice, Career Advice, Data Scientist, Domain Knowledge, Interview, Interview Questions
- Secrets to a Successful Data Science Interview - Jul 15, 2019.
Are you puzzled as to what to prepare for data science interviews? That you are reading this document is a reflection of your seriousness in being a successful data scientist.
Career Advice, Data Science, Interview
- Spatio-Temporal Statistics: A Primer - Apr 5, 2019.
Marketing scientist Kevin Gray asks University of Missouri Professor Chris Wikle about Spatio-Temporal Statistics and how it can be used in science and business.
Interview, Spatio-Temporal, Statistics
- Natural Language Processing for Social Media - Feb 12, 2019.
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about Natural Language Processing and how it is used in social media analytics.
Interview, NLP, Social Media
- Cracking the Data Scientist Interview - Jan 29, 2019.
After interviewing with over 50 companies for Data Scientist/Machine Learning Engineer, I am going to frame my experiences in the Q&A format and try to debunk any myths that beginners may have in their quest for becoming a Data Scientist.
Career Advice, Data Scientist, Interview
- Skip the Interview! 9 Benefits of Career Fairs - Aug 29, 2018.
Career fairs are a great way to get your feet wet if you’re just starting your data science career, or to be exposed to newer trends and emerging organizations if you’re already established. What other ways are career fairs beneficial?
Career, Interview, ODSC
- Data Science Interview Guide - Apr 25, 2018.
Traditionally, Data Science would focus on mathematics, computer science and domain expertise. While I will briefly cover some computer science fundamentals, the bulk of this blog will mostly cover the mathematical basics one might either need to brush up on (or even take an entire course).
Pages: 1 2
Data Science, Interview
- How to Survive Your Data Science Interview - Mar 1, 2018.
There are many wonderful things about data science. It’s extreme breadth is not one of them. The title of data scientist means something different at every company
Advice, Career, Data Science, Interview
- A Guide to Hiring Data Scientists - Feb 22, 2018.
This article provides a short overview of emerging data scientist types and their unique skillsets, as well as a guide for HR professionals and analytics managers who are looking to hire their first data scientists or build a data science team. Included are an overview of skills for each type and specific questions that can be asked to assess candidates.
Data Science Skills, Data Scientist, Hiring, Interview
- Learn Data Science Without a Degree - Jan 19, 2018.
But how do you learn data science? Let’s take a look at some of the steps you can take to begin your journey into data science without needing a degree, including Springboard’s Data Science Career Track.
Career, Data Science Education, Interview, Springboard
- Crushed it! Landing a data science job - Oct 1, 2015.
Data scientist interviews depend on the company and the team, it might look like a software developer’s interview, or statistician’s interview. Here we collected some hot tips to pass along if you’re thinking about a move soon.
Data Scientist, Erin Shellman, Hiring, Interview
- Interview: Thanigai Vellore, Art.com on Delivering Contextually Relevant Search Experience - Jul 23, 2015.
We discuss the role of Analytics at Art.com, the polyglot data architecture at Art.com, the use cases for Hadoop, vendor selection, supporting semantic search and experience with Avro.
Architecture, Art.com, Avro, Hadoop, HBase, Interview, Semantic Analysis, Solr, Thanigai Vellore
- Interview: Joseph Babcock, Netflix on Genie, Lipstick, and Other In-house Developed Tools - Jun 16, 2015.
We discuss role of analytics in content acquisition, data architecture at Netflix, organizational structure, and open-source tools from Netflix.
Data Science, ETL, In-house, Interview, Joseph Babcock, Netflix, Open Source, Tools
- Interview: Joseph Babcock, Netflix on Discovery and Personalization from Big Data - Jun 15, 2015.
We discuss the steps involved in Discovery process at Netflix, impact due to multitude of devices, system generated logs, and surprising insights.
Experimentation, Insights, Interview, Joseph Babcock, Knowledge Discovery, Netflix, Personalization
- Interview: Ksenija Draskovic, Verizon on Dissecting the Anatomy of Predictive Analytics Projects - Apr 15, 2015.
We discuss Predictive Analytics use cases at Verizon Wireless, advantages of a unified data view, model selection and common causes of failure.
Customer Intelligence, Interview, Ksenija Draskovic, Optimization, Predictive Analytics, Project Fail, Use Cases, Verizon
- Interview: David Kasik, Boeing on How Visual Analytics is Improving Aviation Safety - Feb 16, 2015.
We discuss data visualization at Boeing, the importance of Visual Analytics, Aviation Safety improvement through Analytics and augmented reality.
Augmented Reality, Aviation, Boeing, Data Visualization, David Kasik, Graphics, Interview, Visual Analytics
- Interview: Daqing Zhao, Macys.com on Building Effective Data Models for Marketing - Dec 11, 2014.
We discuss the challenges in identifying the fair price of ad media, recommendations for building effective models for online marketing, unique challenges of Mobile channel, selection of Big Data tools, and more.
Daqing Zhao, Data Models, Data Science Skills, Hadoop, Interview, Macy's, Marketing, Mobile, Tools
- Interview: Sastry Malladi, StubHub on Designing Big Data Architecture for the Unknown Future - Jul 28, 2014.
We discuss the Big Data architecture at StubHub, important factors in architecture design, hybrid approach of using Big Data along with traditional data warehouses, challenges, importance of meta-data and more.
Architecture, Challenges, Design, Hadoop, Interview, Metadata, Personalization, Recommendation, Sastry Malladi, StubHub
- Interview: Samaneh Moghaddam, Applied Researcher, eBay on Opinion Mining – Typical Projects and Major Challenges - Jun 27, 2014.
We discuss typical sentiment analysis problems at eBay, underrated challenges, career motivation, important soft skills and more.
Advice, Challenges, eBay, Interview, Samaneh Moghaddam, Skills
- Interview: Kirk Borne, Data Scientist, GMU on Big Data in Astrophysics and Correlation vs. Causality - May 30, 2014.
We discuss how to build the best data models, significance of correlation and causality in Predictive Analytics, and impact of Big Data on Astrophysics.
Correlation, Interview, Kirk D. Borne, Predictive Analytics, Recommendations
- Fractal Analytics Interview Highlights - Mar 27, 2014.
Fractal Analytics CEO on starting the company, competing with the best, managing attrition, attributes he looks for when hiring, 4 different analytics career tracks, strategic bets, and advice for starting data scientists.
Advice, Career, Fractal Analytics, Hiring, Interview
- KDnuggets Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab - Feb 20, 2014.
We discuss what enabled Deep Learning to achieve remarkable successes recently, his argument with Vapnik about (deep) neural nets vs kernel (support vector) machines, and what kind of AI can we expect from Facebook.
Andrew Ng, Deep Learning, Facebook, Interview, NYU, Support Vector Machines, Vladimir Vapnik, Yann LeCun
