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10 Fresh jQuery Plugins for Designers & Developers

10 Fresh jQuery Plugins for Designers & Developers | Best | Scoop.it
Latest jQuery Plugins for designers & developers. Today I selected fresh jQuery plugins which can help to develop your project must faster and easier.
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Most Visited MIT Courses | Free Online Course Materials

Most Visited MIT Courses | Free Online Course Materials | Best | Scoop.it
Unlocking knowledge, empowering minds. Free course notes, videos, instructor insights and more from MIT.
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AI 50: America’s Most Promising Artificial Intelligence Companies

AI 50: America’s Most Promising Artificial Intelligence Companies | Best | Scoop.it

This second annual list highlights promising, private, U.S.-based companies that are using artificial intelligence in meaningful business-oriented ways. Among the notable trends this year: Augmented intelligence, which seeks to help humans do their jobs better and not replace them, is on the rise as the excitement over full automation loses some steam. Self-driving tech startups remain hot; the seven autonomous vehicle companies on this year’s list have raised over $3 billion in total venture capital. Another area to watch: AI applications to discover drugs or diagnose diseases faster. Across the board, AI 50 founders agree that Covid-19 has permanently accelerated or altered the spread of AI.

 

In terms of valuation, at least 10 of the AI 50 are valued at $100 million or less, while 13 are unicorns valued at $1 billion or more. Silicon Valley remains the hub for AI startups, with 34 of 50 honorees coming from the San Francisco Bay Area.

 

Honorees are listed alphabetically. An asterisk donates valuation data from PitchBook rather than company sources or Forbes estimates. Forbes is always on the look out for promising AI companies. So if you know of one not among our AI 50, please email us at AI50@forbes.com.

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20 Alternatives To Zoom

The best alternatives to Zoom for online teaching depend on your needs but Google Meet, BlueJeans, and Skype are just a few of your options.
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Top 50 matplotlib Visualizations - The Master Plots (w/ Full Python Code)

Top 50 matplotlib Visualizations - The Master Plots (w/ Full Python Code) | Best | Scoop.it
A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list helps you to choose what visualization to show for what type of problem using python's matplotlib and seaborn library.
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Free Data Sets to Practice Data Science Projects

Free Data Sets to Practice Data Science Projects | Best | Scoop.it
A collection of the best places to find free data sets for data visualization, data cleaning, machine learning, and data processing projects.

 

If you’ve ever worked on a personal data science project, you’ve probably spent a lot of time browsing the internet looking for interesting datasets to analyze. It can be fun to sift through dozens of datasets to find the perfect one, but it can also be frustrating to download and import several CSV files, only to realize that the data isn’t that interesting after all. Luckily, there are online repositories that curate datasets and (mostly) remove the uninteresting ones.

 

In this post, we’ll walk through several types of data science projects, including data visualization projects, data cleaning projects, and machine learning projects, and identify good places to find datasets for each. Whether you want to strengthen your data science portfolio by showing that you can visualize data well, or you have a spare few hours and want to practice your machine learning skills, we’ve got you covered.

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Ranked: Security and privacy for the most popular web browsers in 2020

Ranked: Security and privacy for the most popular web browsers in 2020 | Best | Scoop.it
Everyone has their preferred web browser. How well does yours rank in terms of security and privacy? Find out in this ranking by ExpressVPN!

 

ExpressVPN took measure of the goliaths: Google Chrome, the runaway leader in market share; Microsoft’s Edge, the upstart heir to the now-defunct Internet Explorer; Safari, a default choice for Apple users; and Firefox, the only major browser that is open-source. Next, they dug a little deeper to assess the less popular but nonetheless powerful browsers that claim to prioritize your security and privacy: Brave, Opera, and Tor Browser. Read what they found.

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Infographic: Visualizing the Social Media Universe in 2020

Infographic: Visualizing the Social Media Universe in 2020 | Best | Scoop.it
Nearly half the world has tapped into the social media universe. Monthly Active Users (MAUs) quantifies the success of these giant platforms.

 

Facebook

To put it mildly, Facebook has had its hands full. A flurry of companies are boycotting Facebook’s ads, while the platform struggles to fend off the spread of misinformation.

Yet, its stock price continues to advance to new highs while the traditional economy faces less than rosy forecasts. Facebook still possesses the largest cohort of users, inching closer to the 3 billion MAU mark—a breakthrough yet to be achieved by any company.

Snapchat

Snapchat and founder Evan Spiegel have had a bumpy road since their IPO in 2017. The stock price reached its nadir near $4 in 2018, reflecting investor concerns tied to the introduction of Instagram Stories. In recent times, the stock has advanced past the $20 mark, although there is still long-term unclarity around monetization and profitability.

YouTube

YouTube competes head on against traditional television and streaming programs for eyeballs. The platform raked in revenues of $15.1 billion in 2019, nearly double their figures in 2017.

Parent company Alphabet has invested in YouTube with new rollouts like YouTube Music (merged with what was once Google Music) and YouTube Premium—a bundled subscription-based platform providing music, ad-free content, and YouTube Originals. By the looks of it, the future of YouTube will be much more than just videos.

WeChat

The biggest social platform in China, WeChat has flourished, now holding a whopping 1.2 billion MAUs. As part of the Tencent Holdings conglomerate, they belong to the BATX group that is seen to lock horns with America’s Big Tech.

Reddit

There have been whispers of a Reddit IPO on Wall Street for some time now. While such an event has not yet materialized, Reddit’s success certainly has. With 430 million MAUs relative to 330 million in 2018, the company continues to attract a larger audience. The notion of community has taken on a different meaning in the digital age, and Reddit represents this transition with their ever-growing network of users.

Instagram

Instagram has been vital to Facebook’s success, since its $1 billion acquisition in 2012. The platform attracts a younger audience compared to Facebook and it has demonstrated an ability to remain versatile, specifically by implementing Instagram Stories and Reels.

Twitter

Busy schedules don’t seem to faze Jack Dorsey who has not one, but two CEO jobs in Twitter and Square. Twitter has been able to achieve profitability in the last two years, reporting net income figures of $1.2 and $1.5 billion in 2018 and 2019 respectively. They no doubt have their work cut out for them as they continue to combat fake news and similar controversies on their platform.

TikTok

If any publicity is good publicity, then 2020 has been TikTok’s year. Headlines include privacy breaches with alleged ties to the Chinese Communist Party, a banning of the app by India Prime Minister Narendra Modi, and now, talks of a partial U.S. acquisition by Oracle.

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WebM VS MP4: What’s Difference? See the Full Comparison!

WebM VS MP4: What’s Difference? See the Full Comparison! | Best | Scoop.it
You can read this post that focuses on WebM vs MP4 if you want to know the difference between WebM and MP4. A full comparison is introduced!

Via Skylly_W
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9 Free Alternatives to Zoom for Online Learning

9 Free Alternatives to Zoom for Online Learning | Best | Scoop.it
The present crisis has brought rapid and dramatic changes to the world of work, and the world of teaching has been no exception. Teachers have suddenly been forced, by circumstances, to adapt their skills to working online in live virtual classrooms with little or no preparation or training.

Most schools and teachers have faced the challenge and, ready or not, teachers have launched their students into online classrooms using commonly used tools like Zoom or Skype. But now the initial panic is over, we can take a closer look at the kinds of technology available for the delivery of live online learning and the kinds of training teachers need to be able to use that technology effectively.
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Deep Learning For COVID-19: An Engineering Approach

Deep Learning For COVID-19: An Engineering Approach | Best | Scoop.it
Attempting and experimenting with identifying COVID-19 from X-Ray images, by using VGG19 with augmentation practices.

 

The author of this tutorial is not a medical, radiology or epidemiology professional. This article is an experiment, from an engineering and data scientist perspective, and should be treated as such.

 

To apply Deep Learning for COVID-19, we need a good dataset – one with lots of samples, edge cases, metadata, and different looking images. We want our model to generalize to the data, such that it can make accurate predictions on new, unseen data. All the work for this article is available on GitHub.

 

Unfortunately, not much data is available, but there are already posts on LinkedIn/Medium claiming >90% or in some cases close to 100% accuracy on detecting COVID-19 cases. Though be reminded that these posts usually contains mistakes, which are often not acknowledged at all.

 

We have actively tried to mitigate some of the usual mistakes, by thinking about and coming up with solutions to the following problems:

  1. You might not believe the following is an issue, but it is a typical fallacy for new people in machine learning and data science. That is, the first rule of machine learning: never, ever test your model's performance with the same data you used to train it with. Not using a testing dataset, and instead testing and measuring the accuracy of their model on the training dataset, does not give an accurate representation of how well the model generalizes to new, unseen data.
  2. Not using computer vision techniques to achieve better generalization – augmentation being an absolute necessity, especially in our case where there are very few samples for our model to learn from.
  3. Not thinking about what the model learns, i.e. will our model actually learn the pattern of what COVID-19 looks like on an X-Ray image, or is it likely that there is some other noisy pattern in our dataset, that it will learn instead?
    One amusing story of early machine learning is called Detecting Tanks"photos of camouflaged tanks had been taken on cloudy days, while photos of plain forest had been taken on sunny days."
  4. Not using the correct metrics. If you use the accuracy metric on a heavily imbalanced dataset, then your model might look like it's performing well in the general case, even though it's performing poorly on COVID-19 cases. 95% accuracy is not that impressive, if your accuracy on COVID-19 cases are 30%.
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Comprehensive list of available SARS-CoV-2 (CoVID19) diagnostic tests

Comprehensive list of available SARS-CoV-2 (CoVID19) diagnostic tests | Best | Scoop.it

Comprehensive list of available diagnostic tests, because diagnosis matters.

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1350+ COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv

1350+ COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv | Best | Scoop.it

bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution.

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100+ Datasets About Coronavirus Disease 2019 (COVID-19)

Google Dataset Search

From Wikipedia, the free encyclopedia Jump to navigation Jump to search Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists.

 
 
These datasets will be updated regularly.
 
  • COVID-19: U.S. at a Glance
  • Cases of COVID-19 Reported in the US
  • States Reporting Cases of COVID-19 to CDC
  • COVID-19: Cases among Persons Repatriated to the United States

 

100+ Datasets About Coronavirus Disease 2019 (COVID-19)

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COVID-19 Data Portal - accelerate scientific research through data

COVID-19 Data Portal - accelerate scientific research through data | Best | Scoop.it
Viral sequences

Raw and assembled sequence and analysis of SARS-CoV-2 and other coronaviruses. Over 17,000 Covid sequences!

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Talks at Google: A Philosophy of Software Design (by John Ousterhout)

John Ousterhout, Professor of Computer Science at Stanford University, discusses complex techniques on how to become a more confident coder. John is excited to announce that he just published the first edition of a new book on software design, based on material from a software design class he has been teaching at Stanford for the last several years.

Prior to joining Stanford, John spent 14 years in industry where he founded two companies, preceded by another 14 years as a professor at Berkeley. Over the course of his career, Professor Ousterhout has built a number of influential systems (Sprite OS, Tcl.Tk, log structured file systems, Raft, RAMcloud, etc) and has taught several courses on software design. In this talk, he synthesizes these experiences into an insightful and provocative discussion on how to (and how not to) design software.

Get the book: https://goo.gl/ywYJ3i
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35 Data Visualization Tools

35 Data Visualization Tools | Best | Scoop.it
Take the hard work out of creating charts and infographics with these tools.

 

Data isn't a thing that's easy for the average person to grasp. While some can look through a spreadsheet and instinctively find the information they need within a mass of figures, the rest of us need a little help, and that's where data visualization can be a real help.

 

For the designer, the challenge is not only in rendering a set of data in an informative way, but also in presenting it so that it that stands out from the mass of competing data streams.

 

One of the best ways to get your message across is to use a visualization to quickly draw attention to the key messages, and by presenting data visually, it's also possible to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone. And nowadays, there's plenty of free graphic design software to help you do just that.

 

As author, data journalist and information designer David McCandless said in his TED talk: "By visualising information, we turn it into a landscape that you can explore with your eyes, a sort of information map. And when you're lost in information, an information map is kind of useful."

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NASA's Exoplanet and Candidate Archive

NASA's Exoplanet and Candidate Archive | Best | Scoop.it

On this page we have assembled statistics for various categories of confirmed exoplanets, TESS candidates, and Kepler candidates. The values here come from the Confirmed Planets and KOI Cumulative interactive tables; TESS Project Candidate counts are from ExoFOP-TESS.

 

The Exoplanet Archive's collection of known exoplanets were discovered using a variety of methods, and many have been detected using multiple methods. The following tables show the number of planets contained within the Exoplanet Archive whose discovery can be attributed to a particular technique. The criteria by which a planet is included in the Exoplanet Archive is described on our Exoplanet Criteria page.

 

Clicking on a link returns a pre-filtered interactive table for that particular data set. For more information about building your own custom search queries, see the Pre-filtering Tables help document.

For a list of published, refereed papers that derive planet occurrence rates, please see our Planet Occurrence Rate Papers page.

 

This list is not exhaustive. To suggest a paper, please submit a Helpdesk ticket.

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Our World in Data: Rate of reported cases and deaths from measles in the USA

Our World in Data: Rate of reported cases and deaths from measles in the USA | Best | Scoop.it

All data on Vaccination

Charts

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Classification with Scikit-Learn, a leading machine learning library for python

Classification with Scikit-Learn, a leading machine learning library for python | Best | Scoop.it

For python programmers, scikit-learn is one of the best libraries to build Machine Learning applications with. It is ideal for beginners because it has a really simple interface, it is well documented with many examples and tutorials.

 

Besides supervised machine learning (classification and regression), it can also be used for clustering, dimensionality reduction, feature extraction and engineering,  and pre-processing the data. The interface is consistent over all of these methods, so it is not only easy to use, but it is also easy to construct a large ensemble of classifiers/regression models and train them with the same commands.

 

In this blog lets have a look at how to build, train, evaluate and validate a classifier with scikit-learn, improve upon the initial classifier with hyper-parameter optimization and look at ways in which we can have a better understanding of complex datasets.

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High Level Knight’s Tours Using a Neural Network (by Dmitry Brant)

High Level Knight’s Tours Using a Neural Network (by Dmitry Brant) | Best | Scoop.it

A neural network is designed such that each legal knight’s move on the chessboard is represented by a neuron. Therefore, the network basically takes the shape of the knight’s graph over an × chess board. (A knight’s graph is simply the set of all knight moves on the board).

 

Each neuron can be either “active” or “inactive” (output of 1 or 0). If a neuron is active, it is considered part of the solution to the knight’s tour. Once the network is started, each active neuron is configured so that it reaches a “stable” state if and only if it has exactly two neighboring neurons that are also active (otherwise, the state of the neuron changes). When the entire network is stable, a solution is obtained.

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Mathematics – GeoGebra apps are used by millions of students and teachers around the world

Mathematics – GeoGebra apps are used by millions of students and teachers around the world | Best | Scoop.it

Putting the world’s leading dynamic mathematics software and curriculum materials in the hands of students and teachers everywhere! Solve math problems, graph functions, create geometric constructions, do statistics and calculus, save and share your results. GeoGebra apps are used by millions of students and teachers around the world to learn and teach mathematics and science. Dynamic Mathematics for everyone!

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Game Changers: 150 Digital Healthcare Companies & Startups

Game Changers: 150 Digital Healthcare Companies & Startups | Best | Scoop.it
Learn how private digital healthcare startups are working to transform the healthcare industry. Our Digital Health 150 report dives into the digital transformation in healthcare.

 

The most promising 150 private digital health startups working to transform the healthcare industry with new models of primary care to emerging tech solutions for providers.

 

CB Insights’ first ever annual cohort of Digital Health 150 startups is a list of 150 of the most promising private companies creating innovative products and services in the $5T+ healthcare industry, according to CB Insights’ Industry Analyst Consensus.

 

CB Insights’ research team selected the 150 startups from a pool of 5K+ companies based on several factors, including patent activity, investor profile, news sentiment analysis, proprietary Mosaic scores, market potential, partnerships, competitive landscape, team strength, and tech novelty.

 

For the purposes of this report, digital health is defined as companies in the healthcare space that use technology/software as a key differentiator from their competition. This includes everything from disease diagnostics to tech-driven health insurance platforms to AI tools for drug discovery, and more.

 

Here are clickable links:

Ava Science Consumer Health & Wellness Switzerland
Calm Consumer Health & Wellness US
CarePredict Consumer Health & Wellness US
Ciitizen Consumer Health & Wellness US
Dreem Consumer Health & Wellness France
Headspace Consumer Health & Wellness US
higi Consumer Health & Wellness US
Oura Health Consumer Health & Wellness Finland
TytoCare Consumer Health & Wellness US
Aidoc Medical Diagnostics: Imaging Israel
Arterys Diagnostics: Imaging US
Butterfly Network Diagnostics: Imaging US
eXo Imaging Diagnostics: Imaging US
HeartFlow Diagnostics: Imaging US
icometrix Diagnostics: Imaging Belgium
IDx Diagnostics: Imaging US
Lifetrack Medical Systems Diagnostics: Imaging Singapore
Lunit Diagnostics: Imaging South Korea
Niramai Diagnostics: Imaging India
Viz.ai Diagnostics: Imaging United States
VoxelCloud Diagnostics: Imaging US
Zebra Medical Vision Diagnostics: Imaging Israel
Athelas Diagnostics: Other Diagnostics US
Cue Health Diagnostics: Other Diagnostics US
Healthy.io Diagnostics: Other Diagnostics Israel
Letsgetchecked Diagnostics: Other Diagnostics Ireland
Deep Lens Diagnostics: Pathology US
PAIGE.AI Diagnostics: Pathology US
PathAI Diagnostics: Pathology US
Proscia Diagnostics: Pathology US
Akili Interactive Labs Digital Therapeutics US
Biofourmis Digital Therapeutics Singapore
Cara Care Digital Therapeutics Germany
Click Therapeutics Digital Therapeutics US
CureApp Digital Therapeutics Japan
Glooko Digital Therapeutics US
Kaia Health Digital Therapeutics US
Lark Health Digital Therapeutics US
Neurotrack Technologies Digital Therapeutics US
Noom Digital Therapeutics US
Omada Health Digital Therapeutics US
Pear Therapeutics Digital Therapeutics US
Pivot Digital Therapeutics US
Proteus Digital Health Digital Therapeutics UnS
SWORD Health Digital Therapeutics Portugal
Vida Health Digital Therapeutics US
Virta Health Digital Therapeutics US
Vivante Health Digital Therapeutics US
AiCure Drug R&D: Clinical Trials US
Emulate Drug R&D: Clinical Trials US
LinkDoc Technology Drug R&D: Clinical Trials China
Teckro Drug R&D: Clinical Trials Ireland
Atomwise Drug R&D: Drug Discovery & Development US
Benchling Drug R&D: Drug Discovery & Development US
Insitro Drug R&D: Drug Discovery & Development US
OWKIN Drug R&D: Drug Discovery & Development US
RDMD Drug R&D: Drug Discovery & Development US
Recursion Pharmaceuticals Drug R&D: Drug Discovery & Development US
Vineti Drug R&D: Drug Discovery & Development US
Aetion Drug R&D: Real-World Evidence US
Evidation Health Drug R&D: Real-World Evidence US
GNS Healthcare Drug R&D: Real-World Evidence US
Medbanks Network Technology Drug R&D: Real-World Evidence China
Syapse Drug R&D: Real-World Evidence US
Tempus Drug R&D: Real-World Evidence US
TriNetX Drug R&D: Real-World Evidence US
Verana Health Drug R&D: Real-World Evidence US
23andMe Genomics US
Color Genomics Genomics US
Freenome Genomics US
Genome Medical Genomics US
GRAIL Genomics US
Luna DNA Genomics US
Nebula Genomics Genomics US
Sophia Genetics Genomics Switzerland
Viome Genomics US
Accolade Insurance & Benefits US
Alan Insurance & Benefits France
Beam Dental Insurance & Benefits US
Bend Financial Insurance & Benefits US
Bright Health Insurance & Benefits US
Carrot Fertility Insurance & Benefits US
Cedar Insurance & Benefits US
Collective Health Insurance & Benefits US
Devoted Health Insurance & Benefits US
Grand Rounds Insurance & Benefits US
LEAGUE Insurance & Benefits Canada
Modern Health Insurance & Benefits US
Nomad Health Insurance & Benefits US
Oscar Health Insurance & Benefits US
Stride Health Insurance & Benefits US
GoodRx Pharma Supply Chain US
Hims Pharma Supply Chain US
Nurx Pharma Supply Chain US
Pill Club Pharma Supply Chain US
Ro Pharma Supply Chain US
TruePill Pharma Supply Chain US
ClearCare Providers: Administrative Tools US
ClearDATA Providers: Administrative Tools US
HealthVerity Providers: Administrative Tools US
Human API Providers: Administrative Tools US
Jvion Providers: Administrative Tools US
Kyruus Providers: Administrative Tools US
Notable Providers: Administrative Tools US
Olive Providers: Administrative Tools US
Protenus Providers: Administrative Tools US
Redox Providers: Administrative Tools US
Solv Health Providers: Administrative Tools US
SYNYI.AI Providers: Administrative Tools China
Weimai Providers: Administrative Tools China
DocPlanner Providers: Clinical Tools Poland
Gauss Surgical Providers: Clinical Tools US
KenSci Providers: Clinical Tools US
MDClone Providers: Clinical Tools Israel
MORE Health Providers: Clinical Tools US
Oncology Analytics Providers: Clinical Tools US
PatientPing Providers: Clinical Tools US
Quartet Health Providers: Clinical Tools US
Solera Providers: Clinical Tools US
Suki Providers: Clinical Tools US
Unite Us Providers: Clinical Tools US
Welkin Health Providers: Clinical Tools US
Vim Providers: Clinical Tools US
Cityblock Health Providers: Primary Care US
Iora Health Providers: Primary Care US
One Medical Providers: Primary Care US
Parsley Health Providers: Primary Care US
Tencent Trusted Doctors Providers: Primary Care China
We Doctor Providers: Primary Care China
Galileo Health Providers: Primary Care (Virtual-Only) US
Halodoc Providers: Primary Care (Virtual-Only) Indonesia
98point6 Providers: Primary Care (Virtual-Only) US
Ada Health Providers: Primary Care (Virtual-Only) Germany
American Well Providers: Primary Care (Virtual-Only) US
Babylon Health Providers: Primary Care (Virtual-Only) UK
Buoy Health Providers: Primary Care (Virtual-Only) US
Doctolib Providers: Primary Care (Virtual-Only) France
Doctor On Demand Providers: Primary Care (Virtual-Only) US
K Health Providers: Primary Care (Virtual-Only) US
Kry Providers: Primary Care (Virtual-Only) Sweden
Lyra Health Providers: Primary Care (Virtual-Only) US
MDLIVE Providers: Primary Care (Virtual-Only) US
Zava Providers: Primary Care (Virtual-Only) UK
Cricket Health Providers: Specialty Care US
DispatchHealth Providers: Specialty Care US
Kindbody Providers: Specialty Care US
Xiaolu Yiguan Providers: Specialty Care China
AbleTo Providers: Specialty Care (Virtual-Only) US
Maven Clinic Providers: Specialty Care (Virtual-Only) US
Talkspace Providers: Specialty Care (Virtual-Only) US
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Creating Deep Neural Networks from Scratch, an Introduction to Reinforcement Learning

This is the first of a three part series that will give a detailed walk-through of a solution to the Cartpole-v1 problem on OpenAI gym — using only numpy from the python libraries. This solution is far from an optimal solution (you can find those on the gym website), but rather is focused on doing it from first principles. Pre-requisites for running the code in this article are python (3.x), with gym and numpy modules installed.

 

The second part is here:

Creating Deep Neural Networks from Scratch, an Introduction to Reinforcement Learning
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Coronavirus Test Tracker: Commercially Available COVID-19 Diagnostic Tests

Coronavirus Test Tracker: Commercially Available COVID-19 Diagnostic Tests | Best | Scoop.it

As labs and diagnostic developers race to meet demand for assays to detect the SARS-CoV2 coronavirus, 360Dx is updating this tracker on a regular basis in order to provide readers with up-to-date and accurate information on the regulatory status of these tests in the US, European, and Asian markets. 

The tracker includes only those tests that are available for diagnostic use. Links to primary regulatory decisions are provided where available.

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The best free pattern generation tools

The best free pattern generation tools | Best | Scoop.it
Create endless abstract designs with these free tools.

 

Great-looking patterns are an often-overlooked part of the designer's tool kit. While it's easy to dismiss patterns as mere decoration, they can often be the vital ingredients that complete your design.

 

Patterns can enhance illustrations and provide the seed for complex graphic design projects. A subtle pattern effect can enliven flat web builds, while more eye-catching designs can stand alone as abstract artwork for when an illustration or stock art just won't cut it.

 

Making seamless patterns that look the part can be a challenge, though, even with Photoshop or Illustrator to do much of the heavy lifting. With these fantastic free tools, however, you'll quickly be able to create gorgeous patterns that are suitable for all manner of creative projects.

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