blog.optimal.io
How we are building Alexa for the mobile industry.
http://blog.optimal.io/Building-Alexa-For-Mobile-Statistics
How we are building Alexa for the mobile industry. Where is the test Univeral Mobile Statistics Site? It’s a mobile world - everybody knows that. It’s been like this for almost a decade now. The funniest thing is that we still don’t have an Alexa. In my opinion there are three ways to do this. Google could ask their Google Analytics mobile users to publish their mobile statistics publicly. Even if Google goes down with this model, there is a challenge of proving that the metrics is correct. What I me...
blog.optimal.io
4 Typical inductive learning problems
http://blog.optimal.io/4-typical-inductive-learning-problems
4 Typical inductive learning problems. Trying to predict a real value. For instance, predict the value of a stock tomorrow given its past performance. Or predictyour score on the data science final exam based on your homework scores. Trying to predict a simple yes/no response.For instance, predict whether you will enjoy this material or not.Or predict whether a user review of the newest Google product is positive or negative about the product. More learning @ Optimal.io. Laquo; Sharding in MongoDB.
blog.optimal.io
Introduction to Decision Trees
http://blog.optimal.io/introduction-to-decision-trees
Introduction to Decision Trees. A decision tree is a classic and natural model of learning. It can be applied to many machine learning problems. The best way to introduce this would be with an example using binary classification. More learning at Optimal.io. Laquo; 4 Typical inductive learning problems. Introduction to Bayesian analysis ». A site about optimizing the web for speed, seo and security. To help online businesses.
blog.optimal.io
How to measure Lead Quality using Google Spreadsheet and Cohort Analysis.
http://blog.optimal.io/How-to-measure-lead-quality-using-google-spreadsheets-cohort-analysis
How to measure Lead Quality using Google Spreadsheet and Cohort Analysis. What is the number one complaint which comes from the Sales team? In my brief experience managing a Sales team, the key complaint which typically comes up is - Leads are not good as they were before . Week after week this used to come up and it still comes up. Now quantifying that was not easy unless I ran a cohort analysis. Here is the output of the cohort analysis I ran using Google Spreadsheets. 3 The real cohort. After you get ...
blog.optimal.io
Customer Focus in 5 steps.
http://blog.optimal.io/5-Steps-for-Customer-Focus
Customer Focus in 5 steps. A great experience happens when you understand your Customers at a very deep level. Step 1. Identify their Goals and related Processes. Step 2. Talk to at least 3 customers / potentials a week. Step 3. Let them come up with ideas. Step 4. Commit to something. Customers love the fact that you are listening to them. But most importantly if you give them a timeline around some of their asks / ideas that’s when they get ecstatic! Step 5. Manage expectations and communicate often.
blog.optimal.io
What are the different type of questions a Data Scientist would ask ?
http://blog.optimal.io/Different-type-of-questions-in-data-science
What are the different type of questions a Data Scientist would ask? These are the different classifications of questions a Data Scientist can ask :. Usually almost every statistics driven company uses this to publish results. For example, Nielson ratings gather information from a small sample of homes and are used to infer the television-viewing patterns of an entire country. Causal question are usually asked to find out what happens to one variable when you change another. You may also use regression a...
blog.optimal.io
Introduction to Bayesian analysis
http://blog.optimal.io/introduction-to-bayesian-analysis
Introduction to Bayesian analysis. The key ingredients to a Bayesian analysis are the likelihood function, which reflects information about the parameters contained in the data, and the prior distribution, which quantifies what is known about the parameters before observing data. The prior distribution and likelihood can be easily combined to form the posterior distribution, which represents total knowledge about the parameters after the data have been observed. Fundamentals of a Bayesian Analysis.
blog.optimal.io
Font Design for your Product
http://blog.optimal.io/Choosing-the-Right-Fonts
Font Design for your Product. Fonts bring attention to your message. The messages here is that you need find what purpose each font has withing your product / content. Quoting Jame George. Some fonts have predefined purposes - for example Stencil . Stenciling is meant to be bold. Because of its rugged constructivist nature, it is usually used on something that has to do with buildings or structures. Contrast of font styles. Laquo; Customer Focus in 5 steps. To help online businesses.
blog.optimal.io
How to add a SVG image in D3
http://blog.optimal.io/how-to-add-a-svg-image-in-d3
How to add a SVG image in D3. First of all - Happy 2014 to all of you! In D3, you have the option of importing XML. SVG is and XML based vector image format. 1 2 3 4 5 6 7 8 9 10 11. If you are interested in generating dynamic Infographics automatically - try Secondprism’s Infographic generator here. Laquo; 3 simple steps to create cross-tabs in SPSS? What are the different type of questions a Data Scientist would ask? A site about optimizing the web for speed, seo and security. To help online businesses.
blog.optimal.io
NoSQL vs SQL Comparison Summary
http://blog.optimal.io/nosql-vs-sql-comparison-summary
NoSQL vs SQL Comparison Summary. One type (SQL database) with minor variations. Many different types including key-value stores, document databases, wide-column stores, and graph databases Schemas - SQL. Structure and data types are fixed in advance. To store information about a new data item, the entire database must be altered, during which time the database must be taken offline. Nosql vs sql comparison 1. Laquo; How to find the schema of a collection in MongoDB. Sharding in MongoDB ».
