It may still be winter but Xbox Series X talk is heating up! We discuss the "old thing" Microsoft's new studio, The Initiative, might be working on. Plus: Star Wars Jedi: Fallen Order is a hit, EA talks up the Xbox Series X, the mystery port on the back of the Series X might not be for diagnostics, and more!

Grand Theft Auto, Anthem, and Gears of War will be changing moving forward thanks to key staffing changes at the top for two of those and a major gameplay overhaul for the other. Plus: Activision is looking to its past for its 2020 product lineup, Cliff Bleszinski had an intriguing Aliens game that almost got made, and more!

This week Parris joins us to discuss the latest interview with Phil Spencer about E3 2020, his plans for the Xbox Series X, and where he sees Microsoft in the competition against Sony. In addition to talking about Xbox strategy for 2020 and Beyond, we discuss the GamerTag radio interview and our perception of Xbox's placement in the upcoming console face-off.

We are EXCITED about the new Xbox Series X technical details, including the whopping 12 teraflops of computing power that the next-gen Xbox is packing. Plus: EA canceled another Star Wars project, March's Games With Gold have been announced, and more!

Two of our crew have played the first couple hours of Ori and the Will of the Wisps, and they have nothing but good news to report. Plus: GDC's cancellation, Xbox Series X's Quick Resume feature is even better than we thought, and more!

Our Xbox crew celebrates the release of the fantastic Ori and the Will of the Wisps by discussing our final review impressions. Plus: developers talk to IGN about exactly what the Xbox Series X will mean for games, Call of Duty finally gets a standalone, free-to-play battle royale game, and more!

Microsoft has revealed the full tech specs for Xbox Series X and we are pumped. We discuss the ingredients of the next-gen Xbox that have us the most hyped for the new console, from Xbox Velocity Architecture to raytracing. P.S. Please bear with us on our first-ever remote-location episode!

Head of Xbox Phil Spencer makes his long-awaited return to Unlocked for an exclusive one-hour interview. We talk about Xbox Series X price, whether coronavirus could delay the console, the first-party launch lineup, why there's no optical out port on Series X, xCloud, cross-play, the fates of Sunset Overdrive, Ryse and Scalebound, which Microsoft IP Phil would like to see brought back, and more!

Our Xbox team deep-dives on CD Projekt Red's big post-release DLC expansion plans for Cyberpunk 2077, the value of the ESRB's new loot box descriptor, a rumor about Mafia 2 and 3 remasters and the cyclical nature of remasters, and more!

Our Xbox crew opens the show by talking about Gears Tactics, the new XCOM-style tactical strategy game from Xbox Game Studios that Xbox fans shouldn't sleep on. Plus: we discuss Xbox's impressive first-party efforts so far in 2020, what the rest of the year looks like, drama around the WWE 2K franchise, and more!

In today’s connected and digital business world, more and more companies are relying on service providers to help achieve their business objectives. Because of this, SOC (System and Organization Control for Service Organizations) reports are gaining more importance. SOC reports… Read More

The post SOC Reports: What Are They and Why Do They Matter to My Business? appeared first on Anders CPAs.

Livestream Deep Learning World Munich 2020 from the comfort and safety of your home on 11-12 May 2020.

It’s almost 10 years since "Data Science" became mainstream. We ask less about how to get into Data Science, but wonder "what’s next?" This article includes insights on four non-trivial, but practical, options and their pitfalls.

Earn a Master of Professional Studies in Data Analytics online through Penn State World Campus – and you can add in-demand skills to your wheelhouse while you continue to work.

4 Steps to ensure your AI/Machine Learning system survives COVID-19; State of the Machine Learning and AI Industry; A Key Missing Part of the Machine Learning Stack; 5 Papers on CNNs Every Data Scientist Should Read

If you find yourself quarantined and looking for free learning materials in the way of books and courses to sharpen your data science and machine learning skills, this collection of articles I have previously written curating such things is for you.

This hands-on book bridges the gap between theory and practice, showing you the math of deep learning algorithms side by side with an implementation in PyTorch. You can save 40% off Math and Architectures of Deep Learning until May 13! Just enter the code nlkdarch40 at checkout when you buy from manning.com.

This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.

Biostatisticians use statistical techniques that your current everyday data scientists have probably never heard of. This is a great example where lack of domain knowledge exposes you as someone that does not know what they are doing and are merely hopping on a trend.

If you are already applying your Data Science skills or getting ready to contribute to analyzing COVID-19 data, then be sure to take sufficient time to appreciate the context of the numbers to focus on what's most important as we collaborate on this global battle.

Also: Math for Programmers!; If #Programming languages had honest slogans #humor; 5 Papers on CNNs Every Data Scientist Should Read; Why Understanding CVEs Is Critical for Data Scientists

Data related positions are considered the hottest in the job market during the last couple of years. While everyone wants to join the party and enter this fascinating field, it is essential to first get an understanding. In this quick guide, I’ll do my best to dispel the confusion by crystalizing the essence of the different positions.

Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.

An introduction to the DBSCAN algorithm and its Implementation in Python.

Check out this repository of more than 100 freely-accessible NLP notebooks, curated from around the internet, and ready to launch in Colab with a single click.

How can you keep your focus and drive during a global crisis? Take on a 90-day learning challenge for data science and check out this list of books and courses to follow.

The new framework uses contrastive learning to improve image analysis in unlabeled datasets.

Also: Should Data Scientists Model COVID19 and other Biological Events; 5 Papers on CNNs Every Data Scientist Should Read; 24 Best (and Free) Books To Understand Machine Learning; Mathematics for Machine Learning: The Free eBook; Find Your Perfect Fit: A Quick Guide for Job Roles in the Data World

Learn how to develop a LSTM neural network with PyTorch on trading data to predict future prices by mimicking actual values of the time series data.

Check out these 10 books that can help data scientists and aspiring data scientists learn machine learning today.

With the capability to analyze huge amounts of data, including medical information, human behavior patterns, and environmental conditions, big data tools can be invaluable in dealing with deadly outbreaks.

The COVID-19 pandemic has affected everything, and building predictions during this time is difficult. Data science teams need to update their models to prepare for the recovery, and know how to properly train 2020 data models to learn from the coronavirus anomaly.

The book Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing by Ron Kohavi (Microsoft, Airbnb), Diane Tang (Google) and Ya Xu (LinkedIn) is available for purchase, with the authors proceeds from the book being donated to charity.

Also: Should Data Scientists Model COVID19 and other Biological Events; Learning during a crisis (Data Science 90-day learning challenge); Data Transformation: Standardization vs Normalization; DBSCAN Clustering Algorithm in Machine Learning; Find Your Perfect Fit: A Quick Guide for Job Roles in the Data World

So in this article, we will interpret, analyze the COVID-19 DNA sequence data and try to get as many insights regarding the proteins that made it up. Later will compare COVID-19 DNA with MERS and SARS and we’ll understand the relationship among them.

Interactive visualizations are an effective method for understanding the COVID-19 pandemic. This article presents a repository filled with just such insightful interactions.

A growing consensus of researchers contend that new algorithms are needed to transform narrow AI to AGI. Brain Simulator II is free software for new algorithm development targeted at AGI that you can experiment with and participate in its development.

Also: A Concise Course in Statistical Inference: The Free eBook; ML Ops: Machine Learning as an Engineering Discipline; Learning during a crisis (#DataScience 90-day learning challenge) ; Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition

Check out these 5 cool Python libraries that the author has come across during an NLP project, and which have made their life easier.

You walk down one aisle of the grocery store to get your favorite cereal. On the dairy aisle, someone sick from COVID-19 coughs. Did your decision to grab your cereal before your milk possibly keep you healthy? How can these unpredictable, near-random choices be included in complex models?