WE MOVE TO MONTHLY BIG DATA ARTICLES
September: http://www.kareertracker.com/a/b/top-big-data-urls-for-september-2015/
Week 5/Jul Top 10
- The worldwide market for #IoT solutions will grow to $7.1 Trillion in 2020
- A Deep Statistical View of #DeepLearning: What is Deep?
- NIH Effort Aims to Compress Genomics #BigData #Biomedical #DataScience
- Breakthroughs in Making #BigData Useful with NextGen #Analytics and Advanced #DataScience
- Becoming a Data Scientist – Curriculum via Metromap
- Self-Service #Analytics Key to Addressing the #DataScience Talent Gap, espec. tools to cleanse and prep #BigData
- Digital Biz Revolution = Transformation from pyramidal structure to networked orgs
- Using #DeepLearning + Spark + @h2oai #MachineLearning to predict crime
- 147-feature #DataScience Model accurately identifies wildfires in satellite imagery
- What is DataOps? 1)Democratization of #BigData #Analytics 2)Built-for-Purpose database engines
Week 29/Jun Top 10
- Free 1600+ page book about Pandas Python Data Analysis Toolkit for DataScience
- The top 15 Internet of Things cities, smart cities, in the world
- Average Tech Salaries for Big Data
RT @ValaAfshar: Average tech salaries for #BigData #DataScience related skills pic.twitter.com/qsoVIU0vLG
— Kirk Borne (@KirkDBorne) July 4, 2015
- The seven people you need on your Big Data team
- 6 Tips for Being an Awesome Data Scientist
- 16 Free Data Science Books
- MachineLearning algorithms mimic human brain but lack power of intuition
- BigData-as-a-Service is the next big thing
- Real-Time Analytics With Kafka & Spark Streaming
- Getting started with Spark Web UI
Week 15/Jun Top 10
- Keep Your Data Honest! Is Your Cleaning Strategy Delivering?
- Where Big Data Jobs Are In 2015 – Midyear Update – Forbes
- The 5-Minute Guide to Understanding the Significance of Apache Spark
- Hadoop and Spark: A tale of two cities
- Demystifying Data Science: 4 Kinds of Data Science Jobs and 8 Skills that Will Get You Hired
- Ensemble Modeling in #MachineLearning : What it is and why it works
- What is bigger than #BigData? => The API Revolution
- Applying #MachineLearning to Text Mining with Amazon S3 + RapidMiner
- Open Container Project @Docker Signals End to Container Wars
- Spotify Buys Beats’ Analytics Provider Seed Scientific
Week 8/Jun Top 10
- How is Big Data Changing the World?
- What is right chart type for your data from Tableau
- Reducing Data Cleansing Time to Get Actionable Insights Faster
- $320,000 Java architect/developer with Cloud computing and #BigData experience
- Decision Boundaries for #DeepLearning and other Machine Learning classifiers
- Internet of Things #IoT , how do I love data from thee, let me count the ways
- Curated collection of resources for Python, R and #DataScience
- Data Science Career Alert – June 12
- AWESOME guidebook for #DataScience, Data Communications, and Data Storytelling
- Algorithms of the Mind
Week 1/June Top 10
- Cheat Sheet: Data #Visualization with R #Rstats
- 6 Causes Of Big Data Discrepancies
- Top Challenges for Retailers in using #BigData
- Overfitting or generalized? Comparison of #MachineLearning classifiers
- The Data Market to Nearly Double in Size by 2019
- A Growth Hacker’s Journey Through Data Science
- Open Data, Big Data and the Future of Science
- Great list of resources in #DataScience, Visualization, #MachineLearning, #BigData
- 4 critical jobs in big data
- Amazon wants to bridge the #DataScience talent gap by bringing #MachineLearning to the cloud
Week 25/May Top 10
- Choosing R or Python for data analysis? An infographic
- Interactive #MachineLearning Algorithm Cheat Sheet for #DataScientists
- 4 V’s of #BigData #infographic
- 10 Vs of Big #Analytics Challenges
- How mature is your org’s #DataScience capability?
- Cluster Analysis: great #DataScience technique for #BigData (“not just for breakfast anymore”)
- Machine Learning is Not the Boogie Man! Gates and Musk Are Wrong.
- “The Internet of Things is like the Cloud 8 years ago”
- Why Data Will Drive The Next Wave of IoT Innovation
- How Do I Become a Data Scientist? / Data Science Aspects
Week 18/May Top 10
- How Do I Become a Data Scientist? / Data Science Aspects
- Difference between Information Fusion & Data Integration
- How to Cross-Link Data, and Why You Should
- 12 Best Free Ebooks for Machine Learning
- Data Science Venn Diagram by Shelly Palmer 2015
- The #Heathcare Data Ecosystem: Data Sources, +more
- Machine-Learning Algorithm Mines Rap Lyrics, Then Writes Its Own
- Most popular data science skills
- It’s interactive! >> #MachineLearning Algorithm Cheat Sheet
- Eskom’s “data scientists” will predict technical faults
Week 11/May Top 10
- Where big data projects fail
- The #IoT has a $14.4 trillion future; Employee productivity has $2.5Trillian Dollar Share
- Practical Data Science in Python
- Turbocharge your #DataLiteracy with comprehensive #DDJ Handbook
- Giving away 1,000 copies of #BigData In Action
- 12 Drivers of BigData Analytics
- Three Data Scientists Share Six Insights on Big Data Analytics
- Going Beyond Big Data To Knowledge
- PTC’s $500M IoT Investment Sees Big Data Analytics and Third-Party Integration
- Most Viewed #BigData Videos on YouTube
Week 27/April Top 10
- Big Data = Hype; But Why That Doesn’t Matter
- Impressive Internet of Everything (IoE)
- Power connected, graph is everywhere
- Make a plan for cultivating #analytics talent
- Got Complex Data, Need Automatic #Statistics! Get @DrMoDecisions + See live #DataScience demo on Thursdays
- Which #BI Business Intelligence tools are companies investing in?
- #DataLiteracy = #DataScience For The Masses! Start small. Think big.
- Intel delivers critical element of RealTime #BigData #Analytics & in-memory computing with #XeonE7v3
- Emojineering – #MachineLearning for Emoji Trends at Instagram
- The #DataScience Life Cycle for Data-Intensive Discovery
Week 19/April Top 10
- how to explain bigdata to non-technical people
- Comprehensive List of data science resources
- Internet of Things #IoT how do I love data from thee, let me count the ways
- Free Book from @neo4j: “Graph Databases”
- 50+ Open Source Tools for #BigData
- Programming for #DataScience = #Python + R + SQL
- Using Twitter and #BigData to Predict Emergency Room Rush Hours
- Markov Models and Predictive #Analytics with Cats
- Great Visualization / Overview of #Wearables in #Healthcare
- 8-minute video seminar > #DeepLearning for Dummies
Week 12/April Top 10
It has been a while since last update because of Easter Holiday and other busy schedules. I come back to commit to two topics only now: Big Data and Entrepreneurship
- #Dilbert takes on #BigData #Analyticsm, read it here
- Infographics: The Surprising Things You Don’t Know About #BigData, Read it here
- 27 free data mining books #Datamining #BigData #DataScience #machinelearning, Read it here
- Intro to #MachineLearning [new @kaggle video series], Read it here
- Choose the Best Chart to Convey Your Data’s Message, Read it here
- #BigData + Behavioral #Analytics = #DataScience bridges the gap between intentions and actions, Read it here
- he 5 Pieces of Data You Should Be Monitoring with Twitter #Analytics, Read it here
- Beginner’s guide to R (6-part series + full PDF), Read it here
- Keeping Up with the Growth of Scientific Data — Metadata are the key, Read it here
- Exploratory Data Analysis Kernel Density Estimation in R, Read it here
Week 22/Mar Top 10
- Analysis Paralysis: How #BigData May Finally Spell the End of Make-Believe Numbers, read it here
- 8 Beasts in the Hadoop Herd, What to use and When…, Read it here
- Data science: It’s greater than the sum of the parts, surprised by how dynamic it is, Read it here
- 32 awesome new resources in #DataScience #MachineLearning #BigData #Analytics, Read it here
- Veracity: 4th V of #BigData >MyPOV: Veracity= BigData potential to test many hypotheses, Read it here
- In #BigData #Analytics Projects, Preparing the Data is Most of the Work, read it here
- 11 #IoT Programming Languages Worth Knowing, what are they?
- 2015 #BigData Trends, find it out now
- Trends in Big Data Vs #Hadoop Vs Business Intelligence, hadoop becomes …; read it here
- The Industrial Internet of Things (IIoT) – Revolutionizing the Way Business is Done, and it involves much more money than consumer business; Read it here
Week 9/Mar Top 10
- Are You Ready for #DataScience? Read it here
- The History of #DataScience [#infographic in 5 strands] , View Infographic Here
- Interactive #MachineLearning Algorithm Cheat Sheet, Get it here
- Top industries hiring #BigData expertise, get insight here
- The most amazingly detailed #BigData Poster, Get Poster here
- New breed of scientific researchers, #DataScientists, must be Pi-shaped, Find it out here
- 2015 #BigData Trends, read it here
- Gartner Advanced #Analytics Quadrant 2015 – Gainers, Losers, find it out here
- How One Company Uses #BigData To Build Better Skis, Find it out here
- The Architecture of a Data Visualization, learn from here
Week 1/Mar Top 5
- Deep Learning: Doubly Easy and Doubly Powerful with GraphLab Create, read it here
- The Value of Data, Part 1: Using Data as a Competitive Advantage, read blog here
- Spyre is Framework for providing a simple user interface for Python data projects, access github here
- Theano-based implementation of Deep Q-learning, access github here
- Understanding Natural Language with Deep Neural Networks Using Torch, read the blog here
Week 22/Feb Top 5
- Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning, read here
- Machine Learning done wrong, read here
- Code for Human-Level Control through Deep Reinforcement Learning, read here
- Big data trend now being applied to managing human resources – Yahoo News Canada, read it here
- Map your music collection, read it here
Week 15/Feb Top Big Data Articles
Three reasons your big data project is failing
The article highlights three reasons that big data project may fail. Check your big data project and see where it is at.
Dont forget about storytelling in a big data age
We live in a world awash with information, but we seem to face a growing scarcity of wisdom. And what’s worse, we confuse the two. We believe that having access to more information produces more knowledge, which results in more wisdom. But, if anything, the opposite is true — more and more information without the proper context and interpretation only muddles our understanding of the world rather than enriching it.
Watch the video here why we need storytelling.
Week 8/Feb/2015 Top 5 Big Data Articles
This week is about use cases for big data in different industries including energy, utilities, insurance, healthcare and others. And real time data analytic is being pushed by different big data technology providers and there are demands from big players to fully utilize their data potential.
Big Data, Big Opportunities for Energy & Utilities Industry
This video from IBM emphasizes the serious implications that bid data applications could have on the future of energy.
Click here to read
Big Data in Insurance and Healthcare
Interview with Ajay Bhargava who has more than 25 years of industry, research, strategic consulting, and teaching experience in the areas relating to databases, enterprise data management, data warehousing, business intelligence, advanced analytics, and Big Data. He has also contributed to SQL, ODBC and IDAPI database standards. Ajay built, and heads up the Global Analytics & Big Data practice for TCS Insurance & Healthcare customers.
Click here to read
Enabler of Data Agility
How much time does it take between collecting data and taking meaningful action? Is that in 1 min, 10 mins, or 1 hour or 1 month? The article give you some technical insight about how to achieve real time analytics.
Click here to read.
How speed can give you a competitive advantage in analytics
Though the use of big data remains a huge challenge for many businesses, those with more advanced capabilities are beginning to shift the emphasis from volume of data to speed of analytics.
Read the article here
What impacts consumers and drive them buy stuff? Big Data will help us rationalize and conquer this problem
Our prehistoric ancestors spent much of their waking hours foraging for and consuming food, an instinct that obviously paid off. Today this instinct is no less powerful, but for billions of us it’s satisfied in the minutes it takes to swing by the store and pop a meal in the microwave.
Read more detail here