Level of blockchain governance : Platform level Application level (distributed apps ) Ecosystem level Centralized paradigms are not as effective in the digital age. Blockchain stakeholders : Industry pioneers First mantra was : “We reject kings, presidents, and voting. We …
Stream analytics has many applications Data Integration Access data warehousesin real-time Take the load off scource databases with change data capture (CDC) Utilize microservices more effectively Online decisions Real-time recommandations Fraud detection Gaming events Finance back office apps Volume (Terabites …
Attribution requires knowledge of two facts : Who holds the asset Who has created and is party to the contract A blockchain stores this information by recording where the asset originated, and tracking changes of ownership. On a blockchain, all …
Based on the course Introduction to blockchain Technologies by Insead and Don Tapscott / Alex Tapscott on Coursera Principle 1 : Networked integrity Honesty, consideration, accountability, transparency are coded into the blockchain. Integrity is distributed among nodes, not vested in …
We will use the data from the world bank. It contains data on world economies for over half a century. The indicators are : Population Electricity consumption CO2 emissions Literacy rates Unemployment Mortality rates Dictionaries for data science+ Writing a …
Populate a list with a for loop : We can do that in only one line with a list comprehension ! Now a list comprehension with range() : List comprehensions : Collapse for loops for building lists into a single …
We can iterate over a list using a for loop We can iterate over a string using a for loop We can iterate over a range object using a for loop Iterators vs iterables : Iterable : Examples : lists, …
Source : Slide Heroes BCG Case Study Top down, Catchy pitchy title -> Explanation sentence -> Content The start Drivers Who ? Why are we speaking to our audience (identify their question) Why? What is our answer to our audience’s question …
Module 01 : What is Machine Learning (ML)? Machine learning is a way to use standard algorithms to derive predictive insights from data and make repeated decisions. Business intelligence is understand the past Machine learning use past data to predict …
There is a quicker way to write functions: lambdas ! So basically you specify the variables in input, and then the operation which is performed et.. voila ! You can also write anonymous functions : Function map takes two arguments: …