DataScience4you2me

Lots of happenings this week. The Cloud Data Science world is keeping busy. Also, the coronavirus is affecting many upcoming conferences, so just be aware of that. News Honeywell has announced the development of the most powerful quantum computer in the world They are partnering with Microsoft Azure so eventually it will be a part of Azure Quantum Google Cloud Speech to Text got many updates It now supports 7 new languages, has better punctuation, understand whom is speaking, and more Google Cloud TPU pods are Generally Available Google calls them custom-built AI super computers Azure CosmosDB has a free tier This is a nice new feature. The service is awesome but used to be a bit spendy to try out. Azure HDInsight now supports Apache analytics projects This announcement includes Spark, Hadoop, and Kafka. The frameworks in Azure will now have better security, performance, and monitoring. AWS DeepRacer 2020 Season is underway This looks to be a fun project. I might have to...

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location. Women in Data Science Livestream This is a conference with a ton a great speakers. The livestream is free and available on the Data Science 101 blog. The event is Monday, March 2, 2020 at 9am PST. Azure Sphere for IoT security goes GA This is a comprehensive security solution for IoT. It is now generally available (GA). Microsoft retires MCSA, MCSD, and MCSE certifications Microsoft has gone to more role-based certifications, so these legacy certs are going away. Amazon Transcribe can now remove PII Amazon Trascribe is a speech recognition ser...

The competition site Kaggle has recently released some micro-courses aimed at helping people to quickly learn the skills of data science. It is called Kaggle Learn, Faster Data Science Education . It includes courses on: Python Deep Learning SQL and more Check them out to quickly get up to speed. Happy Learning. Data Science 101 https://ift.tt/2MORKDK September 01, 2019 at 04:12AM

I took and passed the exam during the beta period. These are my memories of the topics on the exam. You can get this information as the Microsoft Azure Data Scientist Checklist . General Overview Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure . Passing the exam will qualify you for the Azure Data Scientist Associate certification. It can be taken in a traditional exam center or at your home (but you will be watched via video camera). 180 minutes 60 questions (45 Q&A, 15 about Case Studies) The exam can be broken down into 4 components: Machine Learning, Azure ML Studio, Azure Products, and Python . Below is a breakdown of the topics I remember from the exam. Machine Learning These are topics which would be covered in a traditional machine learning course. Here are some of the specific topics I remember. Evaluation of Linear Regression Evaluation of Classification Positive/negative skew Poisson regression Fisher...

LinkedIn’s 2017 report had put Data Scientist as the second fastest growing profession and it’s number one on 2019’s list of most promising jobs . There are three main reasons why data science has been rated as a top job according to research. Firstly, the number of available job openings is rapidly increasing and the highest in comparison to other jobs, data science has an extremely high job satisfaction rating, and the median annual salary base is undeniably desirable. While data science is unquestionably a fantastic career path regarding the impressive ratings and the fact that it is such an in-demand job, statistics show that there will be no slowing down for the surprisingly rapid increase for the demand of data scientists around the globe. Checkout the top 5 companies to work for if you are a data scientist based on employee reviews, job satisfaction ratings, and CEO approval. #1 Dataiku Dataiku is a top-rated computer software company that was founded in 2013 and its head...

Recently updated, is the March 2019 Machine Learning Study Path. It contains links and resources to learn Tensorflow and Scikit-Learn. If you are interested in details on the study path and how to best use the resources. There is a livestream on Facebook, Sunday March 17 on the Math for Data Science Facebook page. Data Science 101 https://ift.tt/2WadWcp March 16, 2019 at 11:35PM

1. Be Honest Try not to exaggerate your skills. If the job sounds more engineering focused than you are wanting, be honest and say that. Data Science is getting very broad and you don’t want to get in a position that is a bad fit. You often sound worse when you try to explain something you do not understand. Just be honest and say, “I have not needed to use that yet, can you explain to me when you have done that?” Find the job you are looking for, not just any position someone is trying to fill. 2. Tell Stories of Your work Talk about things you have built. If you built something as part of a team or project, tell about why and your involvement. If you have a side project, talk about that. This is why side-projects are so important. They help you learn a lot, plus they give you something exciting to talk about, which only you can talk about. 3. Practice Interviews are intimidating. There is really no way to avoid that. The best you can do is be prepared for the interview. Pramp...

Machine Learning for Kids  is a site for children and teachers to explore machine learning with the Scratch Programming language. It includes numerous lessons and tutorials for building fun programs which incorporate machine learning. Data Science 101 https://ift.tt/2tYgluA March 09, 2019 at 06:10PM

Read to the end to learn more about a new study group I will be launching. In Late January 2019, Microsoft launched 3 new certifications aimed at Data Scientists/Engineers. For a while, Microsoft has been toying with different methods for training and credentials. They launched the Microsoft Professional Program in Data Science back in 2017. While it provides great content, it did not result in either a college diploma or an official Microsoft certification. Now Microsoft is in the process of restructing certifications to be more role-focused. Here are details about the 3 certification of interest to data scientists and data engineers. 1. Azure Data Scientist Associate Exams Required: DP-100: Designing and Implementing a Data Science Solution on Azure For more details and to register, go to the Azure Data Scientist Associate page. 2. Azure AI Engineer Associate Exams Required: AI-100: Designing and Implementing an Azure AI Solution For more details and to register, go to...

University can be a great way to learn data science. However, many universities are very expensive, difficult to get admitted, or not geographically feasible. Luckily, a few of them are willing to share data science, machine learning and deep learning materials online for everyone. Here is just I small list I have come across lately. MIT Deep Learning – Lecture notes, slides and guest talks about deep learning and self driving cars Introduction to Artificial Intelligence from UC Berkeley – lecture notes, slides, homework from the Fall 2018 course Deep Learning Course from University of Paris-Saclay – lecture notes and Python code Stanford Machine Learning – cheatsheets from Stanford’s CS 229 machine learning course, translated in multiple languages Do you have any favorite university resources? If so, please leave a comment. Data Science 101 https://ift.tt/2NItLnB March 06, 2019 at 04:07PM

Brandon Rohrer  (along with others ) created an excellent resource for academic programs, Industry recommendations for academic data science programs.  The resource is authored by a number of industry data scientists and university faculty. It is collection of useful information for college data science programs. Here are some of the topics: What do Industry data scientists do? What makes someone a good data scientist? How can universities partner with companies? and others Plus, the site is growing, and new information is frequently being added. If your college/university is launching a data science program, this resource is a must read. Data Science 101 https://ift.tt/2NF2C4Z March 04, 2019 at 07:32PM

A new community for data visualization professionals has launched. It is called the Data Visualization Society . According to the website, The  Data Visualization Society  aims to collect and establish best practices and foster community to support its members as they develop their data visualization skills. Currently, membership is free and they are looking for help growing the community. If data visualization is your thing, this society is worth exploring. Data Science 101 https://ift.tt/2TmR8IG March 02, 2019 at 06:46PM