Data Intelligence and Analytics Resources
Posted by Armando Brito Mendes | Filed under materiais para profissionais, software, videos, visualização
Excelentes textos sobre ciencia dos dados e big data
3. Big Data
- Practical illustration of Map-Reduce (Hadoop-style), on real data
- A synthetic variance designed for Hadoop and big data
- Fast Combinatorial Feature Selection with New Definition of Predictive Power
4. Visualization
- Detecting Patterns with the Naked Eye
- 50+ Open Source Tools for Big Data
- 40 maps that explain the world
5. Best and Worst of Data Science
- 175 Analytic and Data Science Web Sites
- 6000 Companies Hiring Data Scientists
- 100 data science, analytics, big data, visualization books
6. New Analytics Start-up Ideas
- Uniquely identify a human being with two questions
- Selling data
- A new type of weapons-grade secure email
- R in your Browser
7. Rants about Healthcare, Education, etc.
- Why statistical community is disconnected from Big Data and how to fix it
- How to eliminate a trillion dollars in healthcare costs
- Job interview question: what is wrong with this picture?
8. Career Stuff, Training, Salary Surveys
- 17 short tutorials all data scientists should read (and practice)
- Why Companies can’t find analytic talent
- Six categories of data scientists …
9. Miscellaneous
- One Page R: A Survival Guide to Data Science with R
- Boosting Algorithms for Better Predictions
- Structuredness coefficient to find patterns and associations
10. DSC Webinar Series – with video access
- Predictive Analytics with Revolution Analytics and Hortonworks, The…
- BI For Big Data
- The Value of a Modern Data Architecture with Apache Hadoop and Tera…
- Accelerating Big Data
Tags: big data, captura de conhecimento, data mining, R-software
A fábrica de Lego e o Lean Six Sigma
Posted by Armando Brito Mendes | Filed under materiais ensino, planeamento, videos
Uma animação com exemplo de aplicação do lean six sigma
Neste vídeo, uma fábrica de Lego cuja situação era de caos e desastre torna-se um exemplo de gestão, após a aplicação dos conceitos de Lean Six Sigma.
Tags: análise de sistemas, definição, gestão de projetos, modelos empresariais
How R came to be
Posted by Armando Brito Mendes | Filed under estatística, software, videos
Uma entrevista sobre como surgiu o R
How R came to be
Statistician John Chambers, the creator of S and a core member of R, talks about how R came to be in the short video below. Warning: Super nerdy waters ahead.
Tags: desnvolvimento de software, R-software, software estatístico
The Age of Data
Posted by Armando Brito Mendes | Filed under estatística, videos
A era dos dados
Whiteboards
The Age of Data
Actian Big Data Analytics Platform
Actian DataCloud Platform
Big Data Analytics
Creating Value from Big Data and Hadoop
A New World for Analytics
The Need for an Analytic Platform
Seamless Integration
Analytic Offload
Creating Business Value with Analytics
Tags: big data, data mining, DW \ BI, Estat Descritiva
Machine Learning
Posted by Armando Brito Mendes | Filed under materiais ensino, videos
Um bom curso video de machine learning
About the Course
Course Syllabus
Tags: data mining, DW \ BI
Machine Learning MOOC
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, videos
Um curso muito completo de machine learning
About the Course
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
FAQ
- What is the format of the class?The class will consist of lecture videos, which are broken into small chunks, usually between eight and twelve minutes each. Some of these may contain integrated quiz questions. There will also be standalone quizzes that are not part of video lectures, and programming assignments.
- How much programming background is needed for the course?The course includes programming assignments and some programming background will be helpful.
- Do I need to buy a textbook for the course?No, it is self-contained.
- Will I get a statement of accomplishment after completing this class?Yes. Students who successfully complete the class will receive a statement of accomplishment signed by the instructor.
Tags: big data, bioinformatica, captura de conhecimento, data mining, DW \ BI
Data Mining with Weka MOOC
Posted by Armando Brito Mendes | Filed under Habilitações Académicas, materiais ensino, software, videos
Um curso em vídeo sobre a utilização do WEKA para data mining
Welcome to the free online course Data Mining with Weka
This 5 week MOOC introduced data mining concepts through practical experience with the free Weka tool.
The course featured:
- video lectures by Professor Ian H. Witten
- the open-source Weka data mining platform
- access to chapters from Data Mining (3rd Edition)
- discounts from Morgan Kaufmann
- online assessment leading to a statement of completion
The course will run again in early March 2014. To get notified about dates (enrolment, commencement), please subscribe to the announcement forum.
You can access the course material (videos, slides, etc) from here.
Tags: data mining, software estatístico, WEKA
Map Blog Dashboard
Posted by Armando Brito Mendes | Filed under videos, visualização
Um dashboard com os videos mais vistos por região (apenas EUA)
Videos uploaded within 48 hours may not yet appear in age and gender breakdowns.
Tags: belo
Stop motion video: Food you can buy for $5
Posted by Armando Brito Mendes | Filed under materiais para profissionais, videos, visualização
exemplo de ilustração em vídeo de dados numéricos
This stop motion video from BuzzFeed shows how much food you can buy for $5 USD in different countries. For example, five bucks will get you 7 pounds of rice in the United States and 12 pounds in China. The video is straightforward, but the animation of food appearing and disappearing — or rather, added and taken away — lends well to the context that you wouldn’t get from a quick chart.
Tags: belo, data mining, Estat Descritiva
Introductory Statistics
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, videos, visualização
Muito boas aulas e slides sobre testes não paramétricos e SPSS
Welcome to Limbo, where the lustful, gluttonous and wrathful wander in endless torment. Here you can uncover the searing agony of SPSS, the stomach churning fear of central tendency and the rancid bile of z-scores. Good luck, you’ll need it.
Tags: análise de dados, captura de conhecimento, data mining, decisão médica, Estat Descritiva, IBM SPSS Statistics, inferência, inquéritos, software estatístico
