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Michelangelo , Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting rider demand , fraud detection , food discovery and recommendation for Uber Eats , and improving the accuracy of … The post Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber appeared first on Uber Engineering Blog. MORE
We check public transportation apps to see when the next train is arriving at the station. On any given day, we use rideshare apps to get from one place to another. We use streaming services to watch Frasier at the end of lo-ooo-ng work days. MORE
We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. In the case of continuously testing a Netflix SDK integration on a new device, we usually lack relevant data for model training in the early phases of integration. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data. MORE
I started off this whole train of thought because I wanted to see, realistically, what impact Brotli might have for real websites. One of the more fundamental rules of building fast websites is to optimise your assets, and where text content such as HTML, CSS, and JS are concerned, we’re talking about compression. The de facto text-compression of the web is Gzip, with around 80% of compressed responses favouring that algorithm, and the remaining 20% use the much newer Brotli. MORE
One major roadblock that prevents teams from successfully maturing their performance efforts is a lack of training. Sometimes, just knowing where to start can be a challenge. App Dev & Testing, Testing, Performance Engineering MORE
Using local SSDs inside of the GPU node delivers fast access to data during training, but introduces challenges that impact the overall solution in terms of scalability, data access, and data protection. Normally, GPU nodes don't have much room for SSDs, which limits the opportunity to train very deep neural networks that need more data. MORE
But as a student of human factors, this bit also stood out to me: Four years later, signal failure caused one train to rear-end another on the Williamsburg Bridge , the fourth such collision in two years. The train was going at 36 mph through a signal designed for trains whose maximum speed was 28 mph ; even with improved braking, the stopping distance was too long. The MTA said the driver could have seen the train ahead, but the driver had been too fatigued. MORE
With more than 25 years of experience in testing and development, he offers consultancy and training in agile testing and test automation. In these two Quality Sense episodes, host, Federico, delves into an entertaining and eye-opening discussion with Alan Richardson, a British consultant also known as “ Evil Tester.” Alan is the author of different books including “Java For Testers” and “Dear Evil Tester.” He shares a plethora of content on his Youtube channel , podcast and blog. MORE
Our world-class expert instructors provide free test automation training in multiple programming languages such as Java, JavaScript, C#, Python, Ruby, and Swift. When we think of the word superstar, it is usually associated with fame, but in the tech industry, the real superstars are the ones who are able to do the work. MORE
Performance Engineering Tools Training Courses academy BlazeMeter JMeter performance tester trainingA senior performance tester’s review of the new courses by BlazeMeter Last week, I was looking for fresh knowledge on performance testing, so I asked a teammate of. The post A Quick BlazeMeter University Review appeared first on Abstracta Software Testing Services. MORE
This year, we’ve increased the number of awards to partner individuals to recognize the personal achievements around training, certification, and community participation, along with recognition for partner organizations. EMEA Training and Certification Award. Dynatrace news. MORE
This was part of the training we did for a company we consulted so that we educate all of their developers. performance testing training definitions forms of testingIn the series, we will define the basic terms that every developer needs to know about testing. The purpose is to give all team members a shared understanding of the fundamental terminology of quality assurance and all related processes. Later, this will improve communication and reviews quality. MORE
Ensuring their team receives clear goals, consistent and constructive feedback, and cross-training teams are all very important communication strategies for the managers to keep in mind. QA Managers are responsible for providing frequent and consistent communication for each member of their team. Celebrating the teamwork, treating team members with respect, and providing them with specific and actionable feedback is critical when trying to facilitate a productive environment. MORE
Disclosure of secrets is of particular concern in neural network models that classify or predict sequences of natural language text… even if sensitive or private training data text is very rare, one should assume that well-trained models have paid attention to its precise details… The users of such models may discover— either by accident or on purpose— that entering certain text prefixes causes the models to output surprisingly revealing text completions. MORE
” That’s trillions of training and serving examples per day, across more than 700 machine learning pipelines. The motivating example is based on an actual production outage at Google, and demonstrates a couple of the trickier issues: feedback loops caused by training on corrupted data, and distance between data providers and data consumers. The serving data eventually becomes training data, and the model quickly learns to predict -1 for the feature value. MORE
Michelangelo , Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep … The post Evolving Michelangelo Model Representation for Flexibility at Scale appeared first on Uber Engineering Blog. MORE
One major roadblock that prevents teams from successfully executing performance testing is a lack of training. Sometimes, just knowing where to start can be a challenge. App Dev & Testing, Testing, Special Coverage: Performance Guild 2019, Performance Testing MORE
It’s most important to remember at all times when considering this work that we’re talking about the value of data in the context of training a specific model. Instead, the value of each datum depend on the learning algorithm and the performance metric, as well as on other data in the training set. Assume we have some fixed training set , a learning algorithm , and a performance score function , where , which takes as input a predictor trained on and returns a performance score. MORE
Supervised A major motivation for transfer learning is to “pre-train” model parameters by first learning them on a related source task for which we have more training data. MORE
Snuba: automating weak supervision to label training data Varma & Ré, VLDB 2019. It’s tackling the same fundamental problem: how to gather enough labeled data to train a model, and how to effectively use it in a weak supervision setting (supervised learning with noisy labels). The verifier uses a generative model to learn the accuracies of the heuristics in the committed set and produce a single probabilistic training label for each data point in the unlabeled dataset. MORE
Meet Jason Grodan, a Software Training Specialist at Tasktop! We spoke to Jason about the different training classes Tasktop offers, bouldering, and what it’s like to work from home. My role at Tasktop is a ‘Software Training Specialist’. I am part of the Customer Success Team and we (my manager Brian Ashcraft and I) are responsible for creating and delivering training for our Products. We provide training for Customers and Partners as well as new employees. MORE
If your company has adopted DevOps, you'll want to do performance testing as a part of your continuous integration/continuous delivery (CI/CD) release train. App Dev & Testing, Testing, Performance Testing, Special Coverage: PerfGuild 2019, PerfGuild Conference MORE
The 2019 edition will take place on September 20, in Lille (1h hour from Paris by train), and will be even more interesting than the previous one, including some feedback from Dareboost customers such as … Continue reading We Love Speed 2019 on September 20 in Lille → AboutAfter a most successful 2018 edition, Dareboost is proud to keep sponsoring the French Web Performance event: We Love Speed. MORE
I admit I’ve been on the hype train myself a little bit. The post The Core Web Vitals hype train appeared first on CSS-Tricks. Some baby bear thinking from Katie Sylor-Miller: my excitement for Core Web Vitals is tempered with a healthy skepticism. I’m not yet convinced that Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS) are the right metrics that all sites should be measuring themselves against. MORE
A lot of events are scheduled: Performance and Capacity Hackathon (which is $10 / free for the conference attendees), Performance Testing Workshop, CMG Training / Badge Program, and the CMG imPACt 2017 conference itself. I am very excited by the upcoming CMG imPACt performance and capacity conference. This year it would be held on November 6-9, 2017 in New Orleans, LA. MORE
The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI. Taking a step back, EGML systems need support in three main areas: model development/training, model scoring (inference) and model management/governance. MORE
performance training performance testing performance engineering upskillingPerformance testing and engineering is always a niche area with many challenging objectives across the globe. The challenge of performance testing with performance engineering is far more complex and requires one to be multi-skilled to find problems/issues/defects. MORE
After a ride in a Delorean , a private train ride to Galway and a helicopter flight I am sitting outside a cottage on the island of Inishmore. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Back-to-Basics Weekend Reading - Granularity of locks. By Werner Vogels on 31 August 2012 06:00 PM. Permalink. Comments (). I am at funconf in Ireland. MORE
In the premiere episode, podcast host, Federico Toledo, interviews Robert Sabourin , Adjunct Professor of Software Engineering at McGill University and President of AmiBug.Com, Inc which focuses on consulting, training and professional development in all areas of software engineering. This Unique Methodology Will Help You Test Software in Times of Turbulence. Welcome to the Quality Sense Podcast’s first episode! MORE
Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data. One-click, on-demand distributed training that sets up and tears down the cluster after training. MORE
This is the first online performance engineering training for developers, architects, QA, and test engineers. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls.… … The post Performetriks Training: Developing with Performance in Mind appeared first on Dotcom-Monitor Web Performance Blog. MORE
And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. The post Getting Hands-on Training into more hands in 2021 appeared first on Dynatrace blog. Dynatrace news. MORE
As well as outright behaviour and performance once fully trained, a related interesting question is whether or not the AI model improves with training in the same way that humans do on the same task as their skill levels increase. these engines were not trained on human games. MORE
What really blew me away, is that this result includes the time taken to train the model used! The main innovation the authors introduce here is the use of linear spline fitting for training (as opposed to e.g. linear regression with an MSE loss function). MORE
This is the first online performance engineering training for developers, architects, QA, and test engineers. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls. The Performetriks performance engineering training platform provides insights to many performance anti-patterns. The screenshot below highlights how Performetriks guides your team through this training. MORE
For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. " To make things even more challenging, a system that can handle a single large training job is not nearly good enough if training jobs are slow or expensive. Machine learning models are usually trained tens or hundreds of times. MORE
I’m often contacted by someone who says: We could really use your training (or consulting services). The first answer is that I provide some of the highest quality training and consulting available, and there are plenty of examples of my work… The post Training is expensive (Not)! TrainingHow can I lobby to have your brought in? Do you have any tips? MORE
40 Many invest in resources to transform Development and Operations in terms of training, coaching, and tooling. Figuring out the best ways to implement UI testing. The software and its demand are increasing year over year with no predictable end in sight. Top companies are even responding high in the rat race with more productive and prompt means to deliver exceptional applications like scaling Agile and accepting DevOps. MORE
I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer. Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths. MORE
There are no (stochastic) parrots in this paper, but it does examine bias in word embeddings, and how that bias carries forward into models that are trained using them. The dominant source of that bias is the input dataset itself, i.e. the text corpus that the embeddings are trained on. MORE
the majority of our effort goes into curating training data, i.e., specification-by-example of what the system should do. The biggest challenges we encountered during this migration were in generating and managing training data. But in Software 2.0, (training) data is key. Detecting low quality training data from low-precision rules and improving data quality over time is critical. Managing training data. approach for the real-world is managing training data. MORE
Michelangelo , Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep … The post Evolving Michelangelo Model Representation for Flexibility at Scale appeared first on Uber Engineering Blog. MORE
And so, at this year’s partner awards ceremony we’re celebrating the success of our partners in building, enhancing, and transitioning their service offerings, their investment in training and certification to support customer projects, and their associated commercial success. Training & Certification Award 2020. Dynatrace news. Yes, that’s right welcome to 2020 already! MORE
Training Related Topics Dynatrace
JANUARY 21, 2021
And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. The post Getting Hands-on Training into more hands in 2021 appeared first on Dynatrace blog. Dynatrace news.
Allen Holub
FEBRUARY 28, 2019
I’m often contacted by someone who says: We could really use your training (or consulting services). The first answer is that I provide some of the highest quality training and consulting available, and there are plenty of examples of my work… The post Training is expensive (Not)! TrainingHow can I lobby to have your brought in? Do you have any tips?
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CSS - Tricks
NOVEMBER 24, 2020
I admit I’ve been on the hype train myself a little bit. The post The Core Web Vitals hype train appeared first on CSS-Tricks. Some baby bear thinking from Katie Sylor-Miller: my excitement for Core Web Vitals is tempered with a healthy skepticism. I’m not yet convinced that Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS) are the right metrics that all sites should be measuring themselves against.
The Morning Paper
AUGUST 25, 2019
Snuba: automating weak supervision to label training data Varma & Ré, VLDB 2019. It’s tackling the same fundamental problem: how to gather enough labeled data to train a model, and how to effectively use it in a weak supervision setting (supervised learning with noisy labels). The verifier uses a generative model to learn the accuracies of the heuristics in the committed set and produce a single probabilistic training label for each data point in the unlabeled dataset.
Dotcom-Montior
NOVEMBER 27, 2018
This is the first online performance engineering training for developers, architects, QA, and test engineers. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls.… … The post Performetriks Training: Developing with Performance in Mind appeared first on Dotcom-Monitor Web Performance Blog.
Dotcom-Montior
NOVEMBER 27, 2018
This is the first online performance engineering training for developers, architects, QA, and test engineers. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls. The Performetriks performance engineering training platform provides insights to many performance anti-patterns. The screenshot below highlights how Performetriks guides your team through this training.
Tasktop
FEBRUARY 20, 2020
Meet Jason Grodan, a Software Training Specialist at Tasktop! We spoke to Jason about the different training classes Tasktop offers, bouldering, and what it’s like to work from home. My role at Tasktop is a ‘Software Training Specialist’. I am part of the Customer Success Team and we (my manager Brian Ashcraft and I) are responsible for creating and delivering training for our Products. We provide training for Customers and Partners as well as new employees.
Abstracta
JANUARY 6, 2020
Performance Engineering Tools Training Courses academy BlazeMeter JMeter performance tester trainingA senior performance tester’s review of the new courses by BlazeMeter Last week, I was looking for fresh knowledge on performance testing, so I asked a teammate of. The post A Quick BlazeMeter University Review appeared first on Abstracta Software Testing Services.
DZone
JULY 12, 2019
performance training performance testing performance engineering upskillingPerformance testing and engineering is always a niche area with many challenging objectives across the globe. The challenge of performance testing with performance engineering is far more complex and requires one to be multi-skilled to find problems/issues/defects.
DZone
MAY 22, 2019
This was part of the training we did for a company we consulted so that we educate all of their developers. performance testing training definitions forms of testingIn the series, we will define the basic terms that every developer needs to know about testing. The purpose is to give all team members a shared understanding of the fundamental terminology of quality assurance and all related processes. Later, this will improve communication and reviews quality.
CSS Wizardry
APRIL 22, 2020
I started off this whole train of thought because I wanted to see, realistically, what impact Brotli might have for real websites. One of the more fundamental rules of building fast websites is to optimise your assets, and where text content such as HTML, CSS, and JS are concerned, we’re talking about compression. The de facto text-compression of the web is Gzip, with around 80% of compressed responses favouring that algorithm, and the remaining 20% use the much newer Brotli.
All Things Distributed
AUGUST 31, 2012
After a ride in a Delorean , a private train ride to Galway and a helicopter flight I am sitting outside a cottage on the island of Inishmore. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Back-to-Basics Weekend Reading - Granularity of locks. By Werner Vogels on 31 August 2012 06:00 PM. Permalink. Comments (). I am at funconf in Ireland.
The Morning Paper
DECEMBER 7, 2020
There are no (stochastic) parrots in this paper, but it does examine bias in word embeddings, and how that bias carries forward into models that are trained using them. The dominant source of that bias is the input dataset itself, i.e. the text corpus that the embeddings are trained on.
TechBeacon Testing
MAY 18, 2020
One major roadblock that prevents teams from successfully maturing their performance efforts is a lack of training. Sometimes, just knowing where to start can be a challenge. App Dev & Testing, Testing, Performance Engineering
The Morning Paper
SEPTEMBER 13, 2020
As well as outright behaviour and performance once fully trained, a related interesting question is whether or not the AI model improves with training in the same way that humans do on the same task as their skill levels increase. these engines were not trained on human games.
Dynatrace
NOVEMBER 17, 2020
This year, we’ve increased the number of awards to partner individuals to recognize the personal achievements around training, certification, and community participation, along with recognition for partner organizations. EMEA Training and Certification Award. Dynatrace news.
The Morning Paper
JUNE 4, 2019
” That’s trillions of training and serving examples per day, across more than 700 machine learning pipelines. The motivating example is based on an actual production outage at Google, and demonstrates a couple of the trickier issues: feedback loops caused by training on corrupted data, and distance between data providers and data consumers. The serving data eventually becomes training data, and the model quickly learns to predict -1 for the feature value.
The Morning Paper
SEPTEMBER 22, 2019
Disclosure of secrets is of particular concern in neural network models that classify or predict sequences of natural language text… even if sensitive or private training data text is very rare, one should assume that well-trained models have paid attention to its precise details… The users of such models may discover— either by accident or on purpose— that entering certain text prefixes causes the models to output surprisingly revealing text completions.
DZone
JUNE 3, 2019
Using local SSDs inside of the GPU node delivers fast access to data during training, but introduces challenges that impact the overall solution in terms of scalability, data access, and data protection. Normally, GPU nodes don't have much room for SSDs, which limits the opportunity to train very deep neural networks that need more data.
The Netflix TechBlog
DECEMBER 10, 2020
Supervised A major motivation for transfer learning is to “pre-train” model parameters by first learning them on a related source task for which we have more training data.
DZone
AUGUST 20, 2020
We check public transportation apps to see when the next train is arriving at the station. On any given day, we use rideshare apps to get from one place to another. We use streaming services to watch Frasier at the end of lo-ooo-ng work days.
The Netflix TechBlog
MAY 21, 2019
We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. In the case of continuously testing a Netflix SDK integration on a new device, we usually lack relevant data for model training in the early phases of integration. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data.
DZone
JULY 29, 2019
Our world-class expert instructors provide free test automation training in multiple programming languages such as Java, JavaScript, C#, Python, Ruby, and Swift. When we think of the word superstar, it is usually associated with fame, but in the tech industry, the real superstars are the ones who are able to do the work.
Uber Engineering
OCTOBER 16, 2019
Michelangelo , Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep … The post Evolving Michelangelo Model Representation for Flexibility at Scale appeared first on Uber Engineering Blog.
The Morning Paper
OCTOBER 18, 2020
What really blew me away, is that this result includes the time taken to train the model used! The main innovation the authors introduce here is the use of linear spline fitting for training (as opposed to e.g. linear regression with an MSE loss function).
Alex Podelko
SEPTEMBER 8, 2020
I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer. Some time ago Federico Toledo published Performance Testing with Open Source Tools- Busting The Myths.
DZone
JUNE 11, 2020
With more than 25 years of experience in testing and development, he offers consultancy and training in agile testing and test automation. In these two Quality Sense episodes, host, Federico, delves into an entertaining and eye-opening discussion with Alan Richardson, a British consultant also known as “ Evil Tester.” Alan is the author of different books including “Java For Testers” and “Dear Evil Tester.” He shares a plethora of content on his Youtube channel , podcast and blog.
DZone
JUNE 2, 2020
In the premiere episode, podcast host, Federico Toledo, interviews Robert Sabourin , Adjunct Professor of Software Engineering at McGill University and President of AmiBug.Com, Inc which focuses on consulting, training and professional development in all areas of software engineering. This Unique Methodology Will Help You Test Software in Times of Turbulence. Welcome to the Quality Sense Podcast’s first episode!
The Morning Paper
JULY 14, 2019
It’s most important to remember at all times when considering this work that we’re talking about the value of data in the context of training a specific model. Instead, the value of each datum depend on the learning algorithm and the performance metric, as well as on other data in the training set. Assume we have some fixed training set , a learning algorithm , and a performance score function , where , which takes as input a predictor trained on and returns a performance score.
Dareboost
JULY 26, 2019
The 2019 edition will take place on September 20, in Lille (1h hour from Paris by train), and will be even more interesting than the previous one, including some feedback from Dareboost customers such as … Continue reading We Love Speed 2019 on September 20 in Lille → AboutAfter a most successful 2018 edition, Dareboost is proud to keep sponsoring the French Web Performance event: We Love Speed.
The Morning Paper
FEBRUARY 16, 2020
the majority of our effort goes into curating training data, i.e., specification-by-example of what the system should do. The biggest challenges we encountered during this migration were in generating and managing training data. But in Software 2.0, (training) data is key. Detecting low quality training data from low-precision rules and improving data quality over time is critical. Managing training data. approach for the real-world is managing training data.
All Things Distributed
MARCH 19, 2018
For example, training on more data means more accurate models. Last re:Invent, to make the problem of authoring, training, and hosting ML models easier, faster, and more reliable, we launched Amazon SageMaker. " To make things even more challenging, a system that can handle a single large training job is not nearly good enough if training jobs are slow or expensive. Machine learning models are usually trained tens or hundreds of times.
TechBeacon Testing
MARCH 26, 2019
If your company has adopted DevOps, you'll want to do performance testing as a part of your continuous integration/continuous delivery (CI/CD) release train. App Dev & Testing, Testing, Performance Testing, Special Coverage: PerfGuild 2019, PerfGuild Conference
TechBeacon Testing
MARCH 20, 2019
One major roadblock that prevents teams from successfully executing performance testing is a lack of training. Sometimes, just knowing where to start can be a challenge. App Dev & Testing, Testing, Special Coverage: Performance Guild 2019, Performance Testing
Alex Podelko
OCTOBER 3, 2017
A lot of events are scheduled: Performance and Capacity Hackathon (which is $10 / free for the conference attendees), Performance Testing Workshop, CMG Training / Badge Program, and the CMG imPACt 2017 conference itself. I am very excited by the upcoming CMG imPACt performance and capacity conference. This year it would be held on November 6-9, 2017 in New Orleans, LA.
All Things Distributed
NOVEMBER 29, 2017
Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. The challenges begin with collecting, cleaning, and formatting training data. One-click, on-demand distributed training that sets up and tears down the cluster after training.
DZone
JULY 15, 2020
Ensuring their team receives clear goals, consistent and constructive feedback, and cross-training teams are all very important communication strategies for the managers to keep in mind. QA Managers are responsible for providing frequent and consistent communication for each member of their team. Celebrating the teamwork, treating team members with respect, and providing them with specific and actionable feedback is critical when trying to facilitate a productive environment.
DZone
SEPTEMBER 13, 2019
Many invest in resources to transform Development and Operations in terms of training, coaching, and tooling. Figuring out the best ways to implement UI testing. The software and its demand are increasing year over year with no predictable end in sight. Top companies are even responding high in the rat race with more productive and prompt means to deliver exceptional applications like scaling Agile and accepting DevOps.
Uber Engineering
OCTOBER 16, 2019
Michelangelo , Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep … The post Evolving Michelangelo Model Representation for Flexibility at Scale appeared first on Uber Engineering Blog.
Dynatrace
FEBRUARY 5, 2020
And so, at this year’s partner awards ceremony we’re celebrating the success of our partners in building, enhancing, and transitioning their service offerings, their investment in training and certification to support customer projects, and their associated commercial success. Training & Certification Award 2020. Dynatrace news. Yes, that’s right welcome to 2020 already!
The Morning Paper
FEBRUARY 18, 2020
The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI. Taking a step back, EGML systems need support in three main areas: model development/training, model scoring (inference) and model management/governance.
J. Paul Reed
JULY 26, 2017
But as a student of human factors, this bit also stood out to me: Four years later, signal failure caused one train to rear-end another on the Williamsburg Bridge , the fourth such collision in two years. The train was going at 36 mph through a signal designed for trains whose maximum speed was 28 mph ; even with improved braking, the stopping distance was too long. The MTA said the driver could have seen the train ahead, but the driver had been too fatigued.
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