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.

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

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.

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.

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.

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.

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?

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.

Understanding the types of statistical bias that pop up in popular media and reporting is especially important during this pandemic where the data -- and our global response to the data -- directly impact peoples' lives.

Check out this comprehensive guide to model optimization techniques.

With time-series decomposition, we were able to infer that the consumers were waiting for the highest sale of the year rather than buying up-front.

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.

The Spotify-owned company’s new tool may help businesses get more out of their webinars and online conference content.

Please visit Marketing Land for the full article.

Advertisers concerned with brand safety can choose to exclude ads from appearing in Live content.

Please visit Marketing Land for the full article.

Acoustic’s head of product marketing said his company made major pivots at the start of last month. This is how he built a martech stack that allowed for such massive shifts.

Please visit Marketing Land for the full article.

The hit in mid-March was sudden and dramatic, but there appear to be signs, including from media buyers, that the worst is over.

Please visit Marketing Land for the full article.

All our underlying assumptions about what makes consumers tick need to be pressure-tested.

Please visit Marketing Land for the full article.

The companies are part of a shift toward deeper integration between online and offline operations.

Please visit Marketing Land for the full article.

It’s one step closer to the podcast analytics advertisers have been waiting for.

Please visit Marketing Land for the full article.

Join us online for SMX Next, a free virtual event designed to equip you with actionable SEO and SEM tactics that can drive more traffic, leads, and sales.

Please visit Marketing Land for the full article.

For many sophisticated marketing technology platforms, it is nearly impossible to be a technology-only company.

Please visit Marketing Land for the full article.