Data Science Resource Cheat Sheets

These cheat sheets are a useful set of resources.

Tutorial on Tree Based Modeling

I found a useful tutorial on tree based learning

The tutorial includes

• What is a Decision Tree? How does it work?
• Regression Trees vs Classification Trees
• How does a tree decide where to split?
• What are the key parameters of model building and how can we avoid over-fitting in decision trees?
• Are tree based models better than linear models?
• Working with Decision Trees in R and Python
• What are the ensemble methods of trees based model?
• What is Bagging? How does it work?
• What is Random Forest ? How does it work?
• What is Boosting ? How does it work?
• Which is more powerful: GBM or Xgboost?
• Working with GBM in R and Python
• Working with Xgboost in R and Python
• Where to Practice ?

Microsoft DataAmp – SQL Server 2017

The DataAmp webcast was packed full of announcements. The Webcast was delivered by Scott Guthrie and Joseph Sirosh. The SQL Server product delivering intelligence, trust and flexibility.

Microsoft confirmed that the next version of SQL Server is SQL Server 2017 and will be available simultaneously on Windows, Linux and Docker. Download the SQL Server 2017 datasheet.  It will be the first RDBMS to deliver AI with data. There is a convergence of cloud, data and intelligence. Delivering AI with data: the next generation of Microsoft’s data platform blog shares more information.  SQL Server 2017 Community Technology Preview 2.0 now available.

There were so many new features announced only a few are mentioned below.  There are adaptive query processing improvements which will enhance the performance of workloads. There is a You Tube video SQL Server 2017: Adaptive Query Processing discussing this. Threat detection is now in Azure SQL Database and is straight forward to configure. 

Hybrid Cloud just got easier to adopt with the new Azure migration resources and tools. To help with SQL Server migrations to the cloud features such as Service Broker, SQLAgent, Profiler etc. are now available in Azure. There is a new data migration service for automatic migration for SQL Server, Oracle and MySQL in Azure .

SQL Graph

Storing and analyzing graph data relationships. This includes full CRUD support to create nodes and edges and T-SQL query language extensions to provide multi-hop navigation using join-free pattern matching.  The SQL Server engine integration enables querying across SQL tables and graph data.

SQL Server on Linux

 

The official Microsoft repository for SQL Server in Docker containers is here.

Here are a few videos to help get you started with Linux:

• SQL Server 2017: Security on Linux
• Get started developing apps with SQL Server 2017 running on Linux
• SQL Server 2017: HA and DR on Linux

Analytics 

SQL Server is the first commercial database to include Deep Learning algorithms, with the announcement of the Microsoft Cognitive Services general availability of the FACE API and Computer Vision API.

Azure Data Lake Services now have petabyte scale.

Azure Analysis Services became generally available. You Tube video: SQL Server 2017: BI enhancements.  

You can use Python for advanced analytics, You Tube video: SQL Server 2017: Advanced Analytics with Python

Azure DocumentDB

Azure DocumentDB is globally distrubuted and offer limitless scale of throughput and storage. It can be used for things such as IoT applications that need low response times and need to handle massive amounts of reads and writes.

Cortana Intelligence Solution Templates

You can now quickly build Cortana Intelligence Solutions from preconfigured solutions, reference architectures and design patterns. Some are released with more to follow.

The really important thing that I am excited about is the flexibility of choice within the SQL Server product.

Joseph Sirosh concluded comparing the industrial revolution with the intelligence revolution of today.