Getting started with Machine Learning
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Have you got data in AWS but don’t know how to get started with Machine Learning? My talk will help you make sense of AWS’ offerings and show you how to use them without having to become a mathematician first. See the full talk on YouTube: https://youtu.be/3phjk1CxhXM
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Business intelligence is often described as a set of methodologies and technologies that transform raw data into meaningful and useful information for business purposes. But this simple description hides many technical challenges IT teams struggle with. This session will show how to build business intelligence applications leveraging AWS, from the raw data import, consumption and storage down to the information production. We will also cover best practices for services such as Amazon Redshift or Amazon RDS, and how to use applications such as SAP Hana, Jaspersoft and others.
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More from Mike Fowler
From Warehouses to Lakes: The Value of Streams
You have a beautifully modelled warehouse and a lake with all your business data but you’re still looking at the past and making decisions from what happened yesterday. In this talk we’ll look at how you can really get value from your data and make decisions as events happen and even before they do.
From Warehouses to Lakes: The Value of Streams
Every business has a wealth of data but getting value from data is hard. We've tried Data Warehouses and Data Lakes, and while both give us insights we are after, they present their own challenges. Perhaps most challenging of all is making decisions based on yesterday's data. In this talk we'll look at how you can start using your data to make decisions as events happen in your business and how we can even make predictions too. Best of all, we can populate our Data Lakes and Data Warehouses at the same time keeping all the historic analytics in place.
Getting Started with Machine Learning on AWS
Machine Learning (ML) is an exciting field that Cloud Computing has helped to accelerate. AWS has played a big part in this with it’s continually expanding range of services from the simply named Machine Learning through to SageMaker. But how do you get started? Thankfully you don’t need to become an expert in linear algebra or statistics, all you need to begin is good idea of the life-cycle of a ML project and a passing familiarity with these AWS services. In this talk we’ll outline a typical ML project and review services such as SageMaker and Rekognition so that you can begin to make use of them in your own projects.
Building with Firebase
This talk looks at converting an existing GCP serverless application into one build using Firebase. Firebase helps to simplify deployment, particularly around simple web hosting. The talk also looks at how easy it is to use GCP services integrated with Firebase such as authentication and Cloud Firestore.
Reducing Pager Fatigue Using a Serverless ML Bot
Being woken up at 3 am by the pager is never fun but seeing an incident resolve before you’ve even left the bed is maddening. Sleepily the next day you tune the alert for a better night’s sleep yet more untuned alerts sing to you in your sleep. After a few rounds of alert-tuning whack-a-mole you wonder: Could I predict if an incident will resolve itself?
This is the story of how a weary engineer used a Cloud ML model with Cloud Functions to reduce pager noise. Recounting some of the challenges faced, we’ll explore training a model with a limited data set & continual training in a serverless environment. We’ll also explore the implications of using a bot as a first responder to a pager.
Migrating with Debezium
Debezium is a Kafka Connect plugin that performs Change Data Capture from your database into Kafka. This talk demonstrates how this can be leveraged to move your data from one database platform such as MySQL to PostgreSQL. A working example is available on GitHub (github.com/gh-mlfowler/debezium-demo).
Leveraging Automation for a Disposable Infrastructure
Moving from the Iron Age to the Cloud Age in computing is supposed to save us money, but many migrations seem to cost more in the long run and result in an infrastructure that is as complex to manage as the one we had before. This is often due to the so called “lift & shift” approach many take – it’s a short term win that doesn’t address why you wanted to move to the cloud in the first place.
The Cloud Age affords us the opportunity to not treat our infrastructure as something special, but as something disposable. By applying the practices of Continuous Integration and delivery to our infrastructure and configuration management, we can build truly scalable infrastructures to host our application’s wildest dreams.
In this talk, we will look at the tools and processes that can be adopted to truly make use of the possibilities of the Cloud.
Migrating PostgreSQL to the Cloud
Managing your own PostgreSQL servers is sometimes a burden your business does not want. In this talk we will provide an overview of some of the public cloud offerings available for hosted PostgreSQL and discuss a number of strategies for migrating your databases with a minimum of downtime.
Shaping Clouds with Terraform
Terraform is an open source tool that helps you control your infrastructure configuration through code. This talk will serve as a primer showing how to build a basic infrastructure in the Google Cloud and how we can re-use our code to construct multiple, identical environments.
Elephants in the Cloud
Managing your own PostgreSQL servers is sometimes a burden your business does not want. In this talk we will provide an overview of some of the public cloud offerings available for hosted PostgreSQL and discuss a number of strategies for migrating your databases with a minimum of downtime.
Google Cloud & Your Data
An overview of how to connect your existing data centre to the cloud and considerations for how to keep your data safe.
Hosted PostgreSQL
Managing your own PostgreSQL servers is sometimes a burden your business does not want. In this talk we will provide an overview of some of the public cloud offerings available for hosted PostgreSQL and discuss a number of strategies for migrating your databases with a minimum of downtime.
Disposable infrastructure
Moving from the Iron Age to the Cloud Age in computing is supposed to save us money yet many migrations seem to cost more in the long run and result in infrastructures as complex to manage as what we had before. This is often the result of the so called “lift & shift” approach many take – it’s a short term win that doesn’t address why you wanted to move to the cloud in the first place.
The Cloud Age affords us the opportunity not to treat our infrastructure as something special, instead as something disposable. By applying the practices of continuous integration and delivery to our infrastructure and configuration management we can built truly scalable infrastructures to host our application’s wildest dreams.
In this talk we will look at the tools and processes that can be adopted to truly make use of the possibilities of the Cloud.
Fun Things to do with Logical Decoding
With 9.4 came logical decoding but what is it and how can it be used? Besides being a precursor to bi-directional replication there are plenty of use cases for this and many don't even require you to implement a plugin. We'll look at trigger-less auditing, partial replication and full statement replication.
Handling XML and JSON in the Database
These days you can't go far without encountering XML or JSON and in the world of the web these data types are ubiquitous. Since version 8.3 XML has been supported as a data type and JSON support was introduced in 9.2. We'll be looking at what advantages there are in storing your data with these data types and how we can query and manipulate our data once it's stored.
Migrating Rant & Rave to PostgreSQL
Recently we have started to find that MySQL is holding us back when it comes to our vision of growing a sustainable and scalable database. This talk will discuss the process Rant & Rave followed in order to migrate our core database. By discussing some of the challenges we overcame from mapping datatypes to differences in syntax it is hoped that other MySQL users will be better equipped to make the move to PostgreSQL.
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快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
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本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
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四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方毕业证+微信95270640
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面向美国乔治城大学毕业留学生提供以下服务:
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【★真实使馆认证（留学人员回国证明），使馆存档可通过大使馆查询确认】
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我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。
专业服务，请勿犹豫联系我
如果您真实毕业回国，对于学历认证无从下手，请联系我，我们免费帮您递交
诚招代理：本公司诚聘当地代理人员，如果你有业余时间，或者你有同学朋友需要，有兴趣就请联系我
你赢我赢，共创双赢
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你做代理，可以改变自己，改变他人，给他人和自己一个机会过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了一天那一天父亲陪着山娃辗转长隆水上乐园疯了一整天水上漂流高空冲浪看大马戏大凡里面有的父亲都带着他去疯一把山娃算了算这一次足足花了老爸元很
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
原版一模一样【微信：741003700 】【新西兰奥克兰大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
Bengaluru Dreamin' 24 - Personal Branding
Session on Personal Branding presented at Bengaluru Dreamin
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
学校原件一模一样【微信：741003700 】《(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版新西兰林肯大学毕业证(Lincoln毕业证书)学历如何办理
原版办【微信号:95270640】【新西兰林肯大学毕业证(Lincoln毕业证书)】【微信号:95270640】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Getting started with Machine Learning
- 1. Getting Started with Machine Learning Mike Fowler - Senior Site Reliability Engineer - Public Cloud Practice PLACE CUSTOMER LOGO HERE
- 2. • What is Machine Learning? • The AWS Machine Learning Stack • ML Use Cases • Machine Learning: The Forgotten Service • SageMaker Agenda
- 3. London PostgreSQL Meetup January 24th 2019 About Me
- 6. What is … Machine Learning?
- 7. How do Machines Learn? Source: https://towardsdatascience.com/machine-learning-types-2-c1291d4f04b1
- 8. Machine Learning Concepts • Models - Mathematical equation with a solution space approximating the outputs for the given inputs • Feature Engineering - Process of identifying & creating features from the data that will influence/assist the model • Training - Repeated process attempting to find the model that is “just right” such that it does not overfit or underfit the training data
- 9. Dang it Jim, I’m an Engineer not a Mathematician!
- 10. The AWS Machine Learning Stack
- 11. Use Case: Audio Description for Images
- 12. Use Case: Audio Description for Images Lambda
- 13. Use Case: Audio Description for Images Rekognition Image Lambda
- 14. Use Case: Audio Description for Images PollyRekognition Image Lambda
- 15. Use Case: Corporate Updates For All
- 16. Use Case: Corporate Updates For All Transcribe
- 17. Use Case: Corporate Updates For All Transcribe Translate
- 18. Use Case: Corporate Updates For All Transcribe Translate Polly
- 19. Use Case: Corporate Updates For All Transcribe Translate Polly S3
- 20. Use Case: Corporate Updates For All Transcribe Translate Polly S3 CloudFront
- 22. Identify a Problem to Solve Many PagerDuty incidents resolve before I respond disrupting my sleep needlessly
- 23. Identify a Problem to Solve Many PagerDuty incidents resolve before I respond disrupting my sleep needlessly
- 25. Input Data
- 26. Input Data
- 27. Target
- 28. Target
- 29. Target
- 30. Train the Model
- 31. The Lambda Architecture Master Data Serving LayerBatch Layer Speed Layer S3 EMR Kinesis Streams Glue Redshift (Batched Views) DynamoDB (Real-Time Views)
- 32. ML Model The Lambda Architecture + ML Master Data Serving LayerBatch Layer Speed Layer S3 EMR Kinesis Streams Glue Redshift (Batched Views) DynamoDB (Real-Time Views) Amazon Machine Learning
- 33. SageMaker
- 34. Feature Engineering • Most models only take numeric input • Values often need to be constrained - Scale Min/Max - Logarithm • Some values can’t be used - Identifiers - Attributes that wouldn’t be known when making a prediction
- 35. SageMaker
- 36. SageMaker
- 37. Make Predictions
- 38. Mike Fowler mlfowler Questions ? gh-mlfowler mlfowler_ www.mlfowler.com mike.fowler@claranet.uk