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Serverless Machine Learning Workshop
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Engineering
What is Machine Learning and how does it work? But even more importantly, what problems can ML solve for you and your company? Once you have understood the potential use cases, we will briefly describe the main challenges in the world of Big Data. Why is deploying ML models so hard and how can Cloud Computing help? Many MLaaS options are available on the market (AWS, Google, Azure, BigML, etc.). We will see how they compare to each other and which may best fit your needs. Whenever MLaaS is not enough, you can build your own ML models. We will briefly explain why Serverless is a great deployment strategy for this use case and what problems and limitation arise with it. Furthermore, we will put these ideas into practice and build a model for Sentiment Analysis, based on Python (scikit-learn), and trained with a public dataset by Stanford University.
Alex CasalboniFollow
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Serverless Machine Learning Workshop
- [特別企画] Serverless Machine Learning Workshop clda.co/serverless-‐workshop 10/04/2016 東京
- @alex_casalboni clda.co/serverless-‐workshop Workshop | 東京 Web Developer (6+ years) Sr. SoBware Engineer @ Cloud Academy Master in Computer Science About me
- What is Machine Learning? Back to 1959 (Arthur Samuel) How computers learn from Data clda.co/serverless-‐workshop Workshop | 東京 How to solve decision problems
- Machine Learning pipeline Training Predic6on batch real-‐Ame Feature extrac6on batch data informaPon features ML models clda.co/serverless-‐workshop Workshop | 東京
- ? Machine Learning taxonomy Supervised Learning Unsupervised Learning clda.co/serverless-‐workshop Workshop | 東京
- ? Machine Learning taxonomy classifica8on regression 170 cm Supervised Learning Unsupervised Learning clda.co/serverless-‐workshop Workshop | 東京
- Machine Learning taxonomy Supervised Learning Unsupervised Learning clda.co/serverless-‐workshop Workshop | 東京
- Machine Learning taxonomy clustering rule extrac8on group A group B A, B C Supervised Learning Unsupervised Learning clda.co/serverless-‐workshop Workshop | 東京
- What problems can ML solve for you? Supervised Learning Unsupervised Learning classifica'on regression clustering rule extrac'on ? 170 cm gro gro A, B C clda.co/serverless-‐workshop Workshop | 東京
- What problems can ML solve for you? Supervised Learning Unsupervised Learning classifica'on regression clustering rule extrac'on ? fraud detecPon 170 cm gro gro A, B C price of a stock over Pme purchase likelihood user segmentaPon clda.co/serverless-‐workshop Workshop | 東京
- Learning Data Machine Cloud Big Science Information Internet Statistics Technology Python Future Mining Social Deep IOT Algorithms Management Storage Petabytes Parallel Network Privacy Million NoSQL PaaS SQL Database Exabytes Billion Dataset Hadoop R clda.co/serverless-‐workshop Workshop | 東京
- Generated data started growing ~10 years ago… “90% of the data in the world today has been created in the last two years alone” -‐ IBM “300+ hours worth of video content is being uploaded to the site every minute” -‐ Youtube clda.co/serverless-‐workshop Workshop | 東京
- … and it keeps geKng bigger! clda.co/serverless-‐workshop Workshop | 東京
- Big data challenges Manual exploraPon is not an opPon Data-‐driven decisions are a must Distributed/parallel compuPng The curse of dimensionality clda.co/serverless-‐workshop Workshop | 東京
- clda.co/serverless-‐workshop Workshop | 東京
- clda.co/serverless-‐workshop Workshop | 東京
- Why is deploying ML models a challenge? clda.co/serverless-‐workshop Workshop | 東京
- Why is deploying ML models a challenge? 1. Prototyping != ProducPon-‐ready 2. We need ElasPcity 4. MulP-‐model architectures 3. Too many nice-‐to-‐have features clda.co/serverless-‐workshop Workshop | 東京 5. Avoid lack of ownership
- Machine Learning as a Service (MLaaS) Amazon Machine Learning Azure Machine Learning Google PredicAon API IMB Watson AnalyAcs BigML Workshop | 東京clda.co/serverless-‐workshop
- Amazon Machine Learning AmazonML One of the first MLaaS soluPons (1 year old) Great service for classificaPon and regression Only linear models (linear & logisPc regression + SGD) No support for advanced scenarios yet Workshop | 東京clda.co/serverless-‐workshop
- AmazonML @ Cloud Academy Workshop | 東京clda.co/serverless-‐workshop clda.co/7-‐day-‐free (no credit card required!)
- Serverless compuAng to the rescue! Transparent scalability, elasPcity and availability Developer-‐friendly maintenance (versioning + aliases) AWS Lambda Event-‐driven approach & never pay for idle 1 funcPon = 1 model A/B tesPng via composiPon clda.co/serverless-‐workshop Workshop | 東京
- clda.co/serverless-‐workshop Workshop | 東京
- Quick Example clda.co/ML-‐Lambda clda.co/serverless-‐workshop Workshop | 東京
- Thank you for aZending :) cloudacademy.com Q & A 10/04/2016 東京
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