Announcing Network Intelligence Center—towards proactive network operationsAnnouncing Network Intelligence Center—towards proactive network operationsVP of Product Management – Networking

The vision for intelligent and predictive network operations Adoption of hybrid and multi-cloud is absolutely critical for organizations to remain agile. However, this underscores the need for intelligent and continuous network operations—the promise that the network is doing what it needs to do, in line with business intent. For example, if you have global operations, … Read more Announcing Network Intelligence Center—towards proactive network operationsAnnouncing Network Intelligence Center—towards proactive network operationsVP of Product Management – Networking

Convolution Vs Correlation

Convolutional Neural Networks which are the backbones of most of the Computer Vision Applications like Self-Driving Cars, Facial Recognition Systems etc are a special kind of Neural Network architectures in which the basic matrix-multiplication operation is replaced by a convolution operation. They specialize in processing data which has a grid-like topology. Examples include time-series data … Read more Convolution Vs Correlation

Null Hypothesis and the P-Value

Originally published on my personal blog. When you’re starting your machine learning journey, you’ll come across null hypothesis and the p-value. At a certain point in your journey, it becomes quite important to know what these mean to make meaningful decisions while designing your machine learning models. So in this post, I’ll try to explain … Read more Null Hypothesis and the P-Value

I Bought a New Computer Just To Try Out CUDA, Was it Worth it?

The CUDA setup is actually quite extensive, as it isn’t as simple as just setting up your drivers. Firstly, you have to pop into your terminal and install the dependencies: sudo apt-get install freeglut3 freeglut3-dev libxi-dev libxmu-dev Then you have to go to the “ Cuda Zone” and grab yourself some binaries… Or if you’re … Read more I Bought a New Computer Just To Try Out CUDA, Was it Worth it?

Improving observability of your Kubernetes deployments with Azure Monitor for containers

Over the past few years, we’ve seen significant changes in how an application is thought of and developed, especially with the adoption of containers and the move from traditional monolithic applications to microservices applications. This shift also affects how we think about modern application monitoring, now with greater adoption of open source technologies and the … Read more Improving observability of your Kubernetes deployments with Azure Monitor for containers

Machine Learning in R: Start with an End-to-End Test

[This article was first published on R – David’s blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. As a data scientist, you will likely be asked one … Read more Machine Learning in R: Start with an End-to-End Test

Azure Container Registry: preview of repository-scoped permissions

The Azure Container Registry (ACR) team is rolling out the preview of repository scoped role-based access control (RBAC) permissions, our top-voted item on UserVoice. In this release, we have a command-line interface (CLI) experience for you to try and provide feedback. ACR already supports several authentication options using identities that have role-based access to an entire registry. However, for … Read more Azure Container Registry: preview of repository-scoped permissions

Python Input, Output and Import

In this tutorial let us understand the Input and Output built-in-functions used in python, also we will learn how to import libraries and use them in our programs. Image Credits: Data Flair Before getting started let us understand what are built-in-functions? Any function that is provided as part of a high-level language and can be … Read more Python Input, Output and Import

“OK Boomer” escalated quickly — a reddit+BigQuery report

You can now play with the interactive dashboard, to find all sorts of patterns within these comments: Play with the interactive report, or load it full size. I used two different sources of data: To extract all of the historical reddit comments, I used this query: CREATE TABLE `reddit_extracts.201906_all_okboomer`PARTITION BY fake_dateCLUSTER BY subreddit, tsASSELECT TIMESTAMP_SECONDS(created_utc) … Read more “OK Boomer” escalated quickly — a reddit+BigQuery report

And The Star of the Show is — PYTHON

The overall contributions to the open-source projects are seen from all the continents and Asia is on the top with most of its contributions coming from China. The below graph shows us contributions from different continents. The top 50 packages in each language ecosystem have a massive amount of dependent projects. The top npm packages … Read more And The Star of the Show is — PYTHON

How To Compute Satellite Image Statistics And use It In Pandas

The Sentinel 2 image of the area( only Band 3) is shown below. Let us also read the buildings table which we will use to store the statistical summaries derived from the satellite image. Please know that you can use other polygons, like districts, rectangular grids instead of the building polygons for this example. We … Read more How To Compute Satellite Image Statistics And use It In Pandas

Explicit AUC maximization

How to explicitly optimize for maximum area under ROC Photo by André Sanano on Unsplash I was getting started on “IEEE-CIS Fraud Detection” Kaggle competition, and something caught my eye: The fact that the results are evaluated based on AUC makes sense for fraud detection tasks for several reasons: The data sets are often unbalanced, … Read more Explicit AUC maximization

Data-Driven Marketing Attribution

Conversion ratio example Let’s walk through an example using channel conversion ratios. Say that your company converted 100 opportunities at the end of a fiscal quarter. During that period, the marketing department advertised to the associated accounts using three channels: N = {Facebook, Google, LinkedIn} All 100 accounts were touched by one or more of … Read more Data-Driven Marketing Attribution

Interpretability: Cracking open the black box — Part I

How can we bring explainability to the black boxes we use in ML? Interpretability is the degree to which a human can understand the cause of a decision — Miller, Tim[1] Explainable AI (XAI) is a sub-field of AI which has been gaining ground in the recent past. And as I machine learning practitioner dealing … Read more Interpretability: Cracking open the black box — Part I

Durban EDGE DataQuest

[This article was first published on R | datawookie, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. The Durban EDGE (Economic Development and Growth in eThekwini) DataQuest was … Read more Durban EDGE DataQuest

Automating update of a fiscal database for the Euro Area

Our purpose is to write a program to automatically update a quarterly fiscal database for the Euro Area. The main difficulty of this exercise is to build long series that go as far as the 1980’s. We use two sources to build the database: the historical database developed in Paredes et al. (2014), which stops in … Read more Automating update of a fiscal database for the Euro Area

Ten Elements of Machine Learning Interviews

A list of online resources that are really helpful. As a PhD student, I have a fairly good understanding of ML algorithms but still found machine learning interviews challenging. The challenge comes from the fact that there is so much more than model fitting in a ML project. Most textbooks cover rather technical details that … Read more Ten Elements of Machine Learning Interviews

Amazon EC2 AMD Instances are Now Available in Asia Pacific (Mumbai) AWS Region

With these regional expansions, M5a and R5a instances are available today in US East (N. Virginia, Ohio), US West (Oregon, N. California), Europe (Ireland, Frankfurt, Paris, London), Asia Pacific (Singapore, Tokyo, Sydney, Seoul, Mumbai), China (Beijing and Ningxia), Canada (Montreal), South America (Sao Paulo) and AWS GovCloud (US). M5ad, and R5ad instances are available today … Read more Amazon EC2 AMD Instances are Now Available in Asia Pacific (Mumbai) AWS Region

When Cross-Validation is More Powerful than Regularization

[This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Regularization is a way of avoiding overfit by restricting the … Read more When Cross-Validation is More Powerful than Regularization

What is Deep Learning and How does it work?

During gradient descent, we use the gradient of a loss function (or in other words the derivative of the loss function) to improve the weights of a neural network. To understand the basic concept of the gradient descent process, let us consider a very basic example of a neural network consisting of only one input … Read more What is Deep Learning and How does it work?

Logistic Regression in R: A Classification Technique to Predict Credit Card Default

Logistic regression is one of the statistical techniques in machine learning used to form prediction models. It is one of the most popular classification algorithms mostly used for binary classification problems (problems with two class values, however, some variants may deal with multiple classes as well). It’s used for various research and industrial problems. Therefore, … Read more Logistic Regression in R: A Classification Technique to Predict Credit Card Default

Daily Data Science 101 — How rich you need to be in order to beat Casino?

Just graduate from high school, your parents may give you the first tuition. However, it seems like the university does not want to charge you right after you enter the school. What would you do? Casino Actually, Don’t do that and here are the reasons why you should, from a data scientist. You may hear … Read more Daily Data Science 101 — How rich you need to be in order to beat Casino?

Google vision API for image analysis with python

Google Vision API detects objects, faces, printed and handwritten text from images using pre-trained machine learning models. You can upload each image to the tool and get its contents. But, if you have a large set of images on your local desktop then using python to send requests to the API is much feasible. This … Read more Google vision API for image analysis with python

Machine Learning in Cognitive Science and application in Cyber Security

The world is growing at a faster pace. The increasing reliance on cyber infrastructure by governments, industries, and economies makes them more vulnerable and increases the chances for cyber attacks. Machine Learning in Cognitive Science and application in Cyber Security In their most disruptive form, cyber-attacks target the enterprise, military, government, or other infrastructural resources … Read more Machine Learning in Cognitive Science and application in Cyber Security

Build a React + Flask App that Suggests Novel Novels with a Python Graph

Project Summary: Build a Graph database of Users and the Books they read Develop a Flask App that serves up rare, interesting Books to Users based on their submitted favorites Implement a React App that integrates with Flask + our Graph to showcase to users their next favorite book There are a lot of great … Read more Build a React + Flask App that Suggests Novel Novels with a Python Graph

How to Use Pretrained Models in Keras

Image by Wendy This guide will be useful if you are a bit familiar with pretained models but want to know how to use them in Keras. Keras contains 10 pretrained models for image classification. These models are trained on Imagenet data. In a simplified way, Image classification model looks like following. Pretrained Model The … Read more How to Use Pretrained Models in Keras

In Praise Of The Career Changer

It’s Often Hard And Under-appreciated But Here’s To Making Sure That Your Efforts and Struggles Don’t Go Unnoticed Career changers are frequently under-appreciated. I think it’s because our society tends to frown upon discontent or ennui. If someone is struggling to stay engaged at their job, society’s go-to response is, “Suck it up and be … Read more In Praise Of The Career Changer

An update on Chronicle: Continuing to give good the advantageAn update on Chronicle: Continuing to give good the advantageVP of Engineering, Google Cloud Security

In June, we announced Chronicle was coming to Google Cloud. Since then, we’ve been hard at work and wanted to give you an update on our progress as well as a sneak peak of what’s to come.  Chronicle’s mission has always been to give good the advantage. We’ve done this with our products VirusTotal and … Read more An update on Chronicle: Continuing to give good the advantageAn update on Chronicle: Continuing to give good the advantageVP of Engineering, Google Cloud Security

Journey to the world championship — Microsoft Imagine Cup 2019

Consider a situation where Jack and his 7-year-old daughter Ellen are traveling to China. After a tiring day, they enter a supermart to buy something only to realize that all products have information written in Mandarin. Ellen had already been hospitalized twice because of her allergy to nuts. Spot accepts Ellen’s health profile and allows … Read more Journey to the world championship — Microsoft Imagine Cup 2019

Azure AI and Machine Learning talk series

At last week’s Microsoft Ignite conference in Orlando, our team delivered a series of 6 talks about AI and machine learning applications with Azure. The videos from each talk are linked below, and you can watch every talk from the conference online (no registration necessary). Each of our talks also comes with a companion Github … Read more Azure AI and Machine Learning talk series

Linear Algebra and Probability Theory Review for ML

Probability theory is our way of dealing with uncertainty in the world, It’s the mathematical framework that estimates the probability of an event happening with respect to other possible events. Probability is at the very deep level of many machine learning algorithms. Let’s discuss the most famous experience that explains probability theory. Tossing a fair … Read more Linear Algebra and Probability Theory Review for ML

3 Signs that AI Research is About to Hit Trouble

Despite some impressive achievements, and breathless predictions about the future, it feels like something might be wrong in the world of AI. No, this isn’t yet another post about “our new silicone masters”. In fact, what keeps me awake at night is something like the opposite: If you believe the function of AI research is … Read more 3 Signs that AI Research is About to Hit Trouble

My AP Statistics Class First R Programming Assignment Using RStudio

[This article was first published on R – Saturn Science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. My AP Stats class has started their first R programming … Read more My AP Statistics Class First R Programming Assignment Using RStudio

RcppAnnoy 0.0.14

[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. A new minor release of RcppAnnoy is now on … Read more RcppAnnoy 0.0.14

dplyr and Oracle database with odbc on windows

[This article was first published on Guillaume Pressiat, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. RStudio makes Oracle accessibility from R easier via odbc and connections Pane.Personally, … Read more dplyr and Oracle database with odbc on windows

FedRAMP Moderate Blueprints helps automate US federal agency compliance

We’ve just released our newest Azure Blueprints for the important US Federal Risk and Authorization Management Program (FedRAMP) certification at the moderate level. FedRAMP is a key certification because cloud providers seeking to sell services to US federal government agencies must first demonstrate FedRAMP compliance. Azure and Azure Government are both approved for FedRAMP at … Read more FedRAMP Moderate Blueprints helps automate US federal agency compliance

Where do you fall on the data science distribution?

Ever feel like you destroyed a job interview and then ended up not getting the job. Or how about completely bombing a technical screen and still passing onto the next round? You’re not alone, hiring standards are confusing at best but it still begs the question: how do you know how well you’re performing in … Read more Where do you fall on the data science distribution?

America’s Clustered Consensus

Whatever happened to “majority rule”? A continual source of democratic frustration today is that public opinion does not seem to directly translate into public policy. For example, a large majority of Americans want to see campaign finance reform, background checks for gun ownership, and reductions in fossil fuel consumption. Yet, while overwhelming public support has … Read more America’s Clustered Consensus

What I Discovered About Opportunity Zones From Analyzing Half a Million Data Points

There has been a lot of buzz about Opportunity Zones recently and understandably so; it is the newest federal effort to create long-term investments in low-income urban and rural census tract areas. Once designated as a qualified Opportunity Zone, these places are able to receive investments through Opportunity Funds, which are created specifically to invest … Read more What I Discovered About Opportunity Zones From Analyzing Half a Million Data Points

Data Science of Evictions

Dramatic visualization of 2016 eviction filings by state at the National Building Museum From April 2018 through May 2019, a gallery wing of the D.C. National Building Museum was transformed into a labyrinth of forbidding plywood structures, towering piles of shrinkwrapped home furnishings, and striking visual displays. The exhibition showcased the statistics and stories revealed … Read more Data Science of Evictions

H2O Driverless AI: Data Science without Coding

AI that does AI — Develop your first model today. Anyone can be a Data Science. No Coding Required. Photo by Frank Albrecht on Unsplash In today’s world, being a Data Scientist is not limited to those without technical knowledge. While it is recommended and sometimes important to know a little bit of code, you … Read more H2O Driverless AI: Data Science without Coding

How to tune a Decision Tree?

How do the hyperparameters for a decision tree affect your model and how do you choose which ones to tune? Hyperparameter tuning is searching the hyperparameter space for a set of values that will optimize your model architecture. This is different from tuning your model parameters where you search your feature space that will best … Read more How to tune a Decision Tree?

How to deliver concrete business value with your data science team?

Rapid development in the space of machine learning and deep learning has resulted in advanced algorithms. These advanced algorithms are capable of transforming organizations to derive multi-fold business value. Organizations have started investing in data science teams to lead the digital transformation journey to be at the top of their game. Image by Gerd Altmann … Read more How to deliver concrete business value with your data science team?