New funding round follows a successful Reg D round

As rumors suggest that Xbox Scarlett is now one console instead of two, we discuss what that means for Xbox heading into the next generation. Plus: Alan Wake 2 is a lot more possible now than it was last week, EA executives forego their bonuses, the co-creator of Dead Space is making a narrative-driven game for PUBG Corp, and more!

On this week's Xbox show, new talent takes over Halo Infinite, Phil Spencer gives an idea of what to expect performance-wise from Xbox Scarlett, Gears 5 comes out swinging at Gamescom, PUBG does an awesome thing, and more!

On this blazin' episode of our Xbox show, we look back at Xbox's past this week as the original Xbox turns 18, sharing our favorite (not best, although they're often one and the same!) games from Microsoft's first console. And then we look ahead into the future, recapping X019's Inside Xbox livestream and discussing everything we liked and everything we didn't that Microsoft is cooking up now.

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!

On this week's Xbox podcast, the next Grand Theft Auto is in development, and we discuss the report that it may be a more "moderately sized" offering that's updated continuously. Plus: Microsoft may have an opportunity to gain some market share at the start of the generation after a Bloomberg report reveals Sony's scaled-back PS5 production plans, Crysis is the latest member of the remaster club, 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.

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.

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.

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.

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.

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

Check out this freely available book, All of Statistics: A Concise Course in Statistical Inference, and learn the probability and statistics needed for success in data science.

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

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.

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

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.

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

GIS has mostly been behind more popular buzzwords like machine learning and deep learning. GIS has always been around us in the background being used in government, business, medicine, real estate, transport, manufacturing etc.

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?

This year's KDD Cup features four distinct tracks that welcome participants to tackle challenges in e-commerce, generative adversarial networks, automatic graph representation learning (AutoGraph) and mobility-on-demand (MoD) platforms. Winners will be recognized at KDD 2020, the leading interdisciplinary conference in data science, in San Diego on August 23-27, 2020.

Here is an overview of another great natural language processing resource, this time from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.

This post explains using a pre-trained GAN to generate human faces, and discusses the most common generative pitfalls associated with doing so.

Also: Coronavirus COVID-19 Genome Analysis using Biopython; LSTM for time series prediction; A Concise Course in Statistical Inference: The Free eBook; Exploring the Impact of Geographic Information Systems

Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.

As the global economy dwindles, tech companies are hiring en masse. Now is the time to get yourself noticed as a Data Scientist and try to land your dream job.

At present, the data scientist is one of the most sought after professions. That’s one of the main reasons why we decided to cover the latest data visualization tools that every data scientist can use to make their work more effective.

So, you are interested in machine learning? Here is your complete learning path to start your career in the field.

This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

5 cool Python libraries for Data Science; NLP Recipes: Best Practices and Examples; Deep Learning: The Free eBook; Demystifying the AI Infrastructure Stack; and more.

Check out this curated collection of coronavirus-related projections, dashboards, visualizations, and data that we have encountered on the internet.

Train a "blackbox" GBM model on a real dataset and make it explainable with SHAP.

Check out this comprehensive guide to model optimization techniques.

Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about chatbots and the ways they are used.

I realized that from a corporate perspective, “fortune teller” was not entirely off from the role of a “data scientist”.

Also: Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs; The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks; Five Cool Python Libraries for Data Science.

Love it or hate it, the double sidebar makes context switching a lot easier as you move between ad accounts or from other search engines.

Please visit Marketing Land for the full article.