Discover and read the best of Twitter Threads about #recommendation

Most recents (4)

(1/7) #FridayReads #FictionFriday

I highly recommend #LynnKurland's novels, in particular, her #dePiaget and #MacLeod series. Here's the kicker, the two series have a lot of crossovers, too!

What is the genre of the two series? It depends on the novel.

#Reading
(2/7) 1. The most common is #romance and #romantic (the romantic “genre” isn't necessarily romance per se). Now, we are not talking about romance as most people assume, a girl is head over hills on a hunk guy who is a secret villain or a vampire. (aside: Nothing wrong with it.)
(3/7) 2. #TimeTravel
3. #Historical
4. #Paranormal
5. #Fantasy

There is also a touch of #family and #relationships here and there.

The first book I've read was #DreamsOfStardust. It was so good, I bought every copy of it I saw, and gave away for free to friends and colleagues.
Read 8 tweets
A pinned thread to share stuff like fanfictions and manga that I read and enjoyed, you can see in my carrd for the type of content I would be likely to share, but all posts will be described anyway.
Fanfiction here
Manga here
Read 6 tweets
I think theres a severe distrust issue amongst society probably from the growth of the internet and social media along side data violations beyond any users control

This doesnt mean the framework/ infrastructure is not trusted, its just in need of redesign

Enter #DID's $cheq
👇
None of this is new or uncommon, or the entities and personnel within the #identity industry.

There is just no "#decentralised #crypto" celebrity status attached for #hypeeee

$Cheq @Tweetddale @NickyHickman11
@drummondreed

#IIW33

google.com/amp/s/blog.ide…
In my humble opinion, there should be the similar chatter of the #satoshi paper of 2008, for the #approval and #recommendation from the @w3c on the first identifier since the #URL.

Welcome to the #DID.

The Decentralised Identifier.

Image courtesy of @evernym (@Avast)
Read 7 tweets
D1 of #50daysofudacity
I finished up to Lesson 2.19
My notes can be found here for quick refernce
docs.google.com/document/u/1/d…
D2 of #50daysofUdacity
I finished up to Lesson 2.25
Also completed lab assignment for a linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference

docs.google.com/document/u/1/d…
D3 of #50daysofudacity
I finished Lesson 2
Also completed lab assignment for linear regression model to predict the price of taxi in new york city
My notes can be found here for quick reference
docs.google.com/document/u/1/d…
Read 53 tweets

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