In January 2014, Stanford University professors Trevor Hastie and Rob Tibshirani (authors of the legendary Elements of Statistical Learning textbook) taught an online course based on their newest textbook, An Introduction to Statistical Learning with Applications in R (ISLR). I found it to be an excellent course in statistical learning (also known as “machine learning”), largely due to the high quality of both the textbook and the video lectures. And as an R user, it was extremely helpful that they included R code to demonstrate most of the techniques described in the book.
If you are new to machine learning (and even if you are not an R user), I highly recommend reading ISLR from cover-to-cover to gain both a theoretical and practical understanding of many important methods for regression and classification. It is available as a free PDF download from the authors’ website.
If you decide to attempt the exercises at the end of each chapter, there is a GitHub repository of solutions provided by students you can use to check your work.
As a supplement to the textbook, you may also want to watch the excellent course lecture videos (linked below), in which Dr. Hastie and Dr. Tibshirani discuss much of the material. In case you want to browse the lecture content, I’ve also linked to the PDF slides used in the videos.
What does it mean when someone calls you smart or intelligent? According to developmental psychologist Howard Gardner, it could mean one of eight things. In this video interview, Dr. Gardner addresses his eight classifications for intelligence: writing, mathematics, music, spatial, kinesthetic, interpersonal, and intrapersonal.
The re:Invent 2016 conference was an exciting week to be working on serverless at AWS. We announced new features like support for C# and dead letter queues, and launched new application constructs with Lambda such as Lambda@Edge, AWS Greengrass, Amazon Lex, and AWS Step Functions. In addition we also added support for surfacing services built using API Gateway in the AWS marketplace, expanded the capabilities for custom authorizers, and launched a reference developer portal for managing APIs. Catch up on all the great re:Invent launches here.
In addition to the serverless mini-con with deep dive talks and best practices, we also had deep customer talks by folks from Thomson Reuters, Vevo, Expedia, and FINRA. If you weren’t able to attend the mini-con or missed a specific session, here is a quick link to the entire Serverless Mini Conference Playlist. Other interesting sessions from other tracks are listed below.
Individual Sessions from the Mini Conference
- State of the Union – Serverless Mini Conference
- SVR201 – Serverless Apps with AWS Step Functions – [New Launch]
- SVR202 – What’s New with AWS Lambda – [New Launch]
- SVR301 – Real-time Data Processing Using AWS Lambda
- SVR302 – Optimizing the Data Tier in Serverless Web Applications – [Best Practices]
- SVR303 – Coca-Cola: Running Serverless Applications with Enterprise Requirements – [Best Practices]
- SVR304 – bots + serverless = ❤ – [New Launch]
- SVR305 – ↑↑↓↓←→←→ BA Lambda Start – [Best Practices]
- SVR306 – Serverless Computing Patterns at Expedia
- SVR307 – Application Lifecycle Management in a Serverless World – [Best Practices]
- SVR308 – Content and Data Platforms at Vevo: Rebuilding and Scaling from Zero
- SVR401 – Using AWS Lambda to Build Control Systems for Your AWS Infrastructure
- SVR402 – Operating Your Production API – [Best Practices]
Other Interesting Sessions
- DEV205 – Monitoring, Hold the Infrastructure: Getting the Most from AWS Lambda
- DEV207 – Developing Serverless C# Applications – [New Launch]
- DEV301 – Amazon CloudWatch Logs and AWS Lambda: A Match Made in Heaven
- DEV308 – Chalice: A Serverless Microframework for Python – [Best Practices]
- MBL305 – Developing Apps and Serverless Microservices for Enterprises using AWS
- MBL306 – Serverless Authentication and Authorization: Identity Management – [Best Practices]
- MBL404 – Native, Hybrid and Web patterns with Serverless and AWS Mobile services
- CTD206 – Bringing AWS Lambda to the Edge – [New Launch]
- CMP211 – Getting Started with Serverless Architectures – [Best Practices]
- ALX302 – Build a Serverless Back End for Your Alexa-Based Voice Interactions
- BDM303 – JustGiving: Serverless Data Pipelines, ETL & Stream Processing
- CMP305 – Serverless to 32 XLarge: A Unified Security Approach To AWS Compute
- IOT309 – Lambda Everywhere – [New Launch]
- IOT401 – Serverless IoT Back Ends
- SAC310 – Securing Serverless Architectures, and API Filtering at Layer 7 – [Best Practices]
- ARC402 – Serverless Architectural Patterns and Best Practices – [Best Practices]
- GPST404 – Building Complex Serverless Applications – [Best Practices]
This series of talks is part of the Foundations of Machine Learning Boot Camp. Videos for each talk area will be available through the links bellow.