May
2015 Jun Opinions, Interviews, Reports
All (95) | Courses, Education (10) | Meetings (12) | News, Features (12) | Opinions, Interviews, Reports (26) | Publications (4) | Software (5) | Top Tweets (5) | Tutorials, Overviews, How-Tos (11) | Webcasts (10)
- KDnuggets Interview: Amr Awadallah, CTO & Co-founder, Cloudera on the Need for Self-Service Analytics
- Jun 30, 2015.
We discuss the importance of enabling self-service analytics, partnership with Cask, Big Data vendor selection and competitive landscape.
- Nine Laws of Data Mining, part 2
- Jun 30, 2015.
The second group data mining laws includes: There are always patterns, Data mining amplifies perception in the business domain, Prediction increases information locally by generalisation, Value law, Law of Change. Tom Khabaza explains.
- KDnuggets Interview: Amr Awadallah, CTO & Co-founder, Cloudera on the Future of Information Architecture Design
- Jun 29, 2015.
We discuss Cloudera’s achievements, story behind the name ‘Cloudera’, CTO role, and key attributes of information architecture designed for future.
- Nine Laws of Data Mining, part 1
- Jun 29, 2015.
Tom Khabaza, one of the authors of the Clementine data mining workbench and of CRISP-DM methodology for data mining process, proposes and explains 9 laws of data mining.
- Big Data Big Impact on the Future of Advertising
- Jun 26, 2015.
Big data is ready to tack advertisement industry to a new height. Here, we captured how big data will shape the advertising in the future, its challenges and opportunities.
- Data Science and Mobile Devices: Joined at the Hip
- Jun 25, 2015.
As number of wearable and IoT devices have soared, there is a new big data market emerging at horizon. Here, we have scratched the surface of this giant and got few connections between mobile devices and data science.
- Interview: Anil Gadre, MapR on 3 Keys for Big Data Success: Reliability, Security, & Scalability
- Jun 24, 2015.
We discuss the origin of Apache Myriad, state of security in Big Data, MapR Quick Start Solutions, Hadoop vendor selection criteria, and more.
- Interview: Anil Gadre, MapR on What it takes to Automate Data-to-Action?
- Jun 23, 2015.
We discuss how analytics can impact the business “as-it-happens”, merging business analytics with production operations, transition challenges, and recently announced partnership with Teradata.
- 10 reasons why I love data and analytics
- Jun 22, 2015.
As data science getting more and more traction in all the major industries. So, in this new, exciting and challenging field there are lots of opportunities. Here are few reasons why you should be a part of this.
- Spark Summit 2015 San Francisco – Day 2 Keynote Highlights
- Jun 19, 2015.
Highlights from keynote speeches delivered by various eminent big data technology leaders from industry and academia at Spark Summit 2015 Conference held in San Francisco.
- I’m a data scientist – mind if I do surgery on your heart?
- Jun 18, 2015.
If I walked into an operating room and said I'm going to start dabbling in surgery I would be immediately thrown out. But people do that with statistics and data analysis all the time.
- Spark Summit 2015 San Francisco – Day 1 Keynote Highlights
- Jun 17, 2015.
Highlights from keynote speeches delivered by various eminent big data technology leaders from industry and academia at Spark Summit 2015 Conference held in San Francisco.
- Interview: Joseph Babcock, Netflix on Curiosity and Courage – Key for Success in Data Science
- Jun 17, 2015.
We discuss discovery vs. personalization, advice, trends, desired skills in data scientists, and more.
- 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.
- Not So Fast: Questioning Deep Learning IQ Results
- Jun 15, 2015.
Did deep learning just leap towards human intelligence? Not so fast.
- 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.
- Is Analytics Career Right for You?
- Jun 12, 2015.
An analytical way to decide whether you should pursue a career in analytics. We shared some economic ways to getting started and mind-set required for entering into this exciting field.
- Cognitive Computing: Solving the Big Data Problem?
- Jun 12, 2015.
With a shortage of data scientists, what are the alternatives for making sense of Big Data? We examine Cognitive Computing, its strengths, and how it can fit into the current Big Data landscape.
- Interview: Beth Smith, General Manager of the IBM Analytics Platform business, on Analytics, Hadoop, Spark
- Jun 12, 2015.
We discuss coming Analytics surprises, what has changed, Open Source, Hadoop, Apache Spark, Open Data Platform, new analytics roles, IBM resources for analytics educations, and more.
- Interview: Ranjan Sinha, eBay on Winner Insights from International Sorting Competitions
- Jun 10, 2015.
We discuss advancements in the field of Personalization, lessons from winning sorting competitions, Data Science trends, career advice, and more.
- Interview: Ranjan Sinha, eBay on Advanced Hadoop Cluster Management through Predictive Modeling
- Jun 9, 2015.
We discuss categorization of e-commerce analytics, opportunities/ challenges of Big Data, Astro predictive model for Hadoop cluster management, and Apache Kylin.
- Interview: James Taylor, Salesforce on Phoenix + HBase – The Future of Big Data
- Jun 6, 2015.
We discuss the advantages of Phoenix, upcoming features, soon coming-up support for transactions, trends, advice, and more.
- Interview: James Taylor, Salesforce on Apache Phoenix – RDBMS for Big Data
- Jun 5, 2015.
We discuss the beginning of Phoenix project, decision of making it open source, relational database layer on HBase, and key reasons for the superior performance of Apache Phoenix.
- Love, Sex and Predictive Analytics
- Jun 4, 2015.
Here, we are trying to understand the working mechanisms of dating sites, algorithms used and role of predictive analytics while matchmaking. We have also gleaned some interesting analytical insights from them.
- Interview: Sheridan Hitchens, Auction.com on Data Science Evolution from a Nerdy Hobby to a Strategic Priority
- Jun 4, 2015.
We discuss the evolution of Data Science expectations, Data Science as a career, advice, and more.
- Data Mining and Predictive Analytics Glossary
- Jun 3, 2015.
Here, we have collected definitions of common terminologies used in data science and big data.
How to Explain Key Machine Learning Algorithms at an Interview
Roadmap to Natural Language Processing (NLP)