How Long Did It Take You To Learn Korean?



Learning fluent Korean in a 6 month timeline was one of the first challenges we took on back when we started Road to Epic - it was a big success and a lot of what we learned during the experience has influenced our articles on language learning since. Like i know this white boy A, he's been studying chinese for 2 yrs and he's not prefect but he can have an average conversation with other chinese people (which he did, he was trolling on those language apps lol) but he can only do that because not only he went to the chinese classes set by the uni but also went to evening class and watches chinese variety shows.

In fact, the author herself, in the appendix for other Korean learning resources at the back of the book, recommends her own text for only intermediate-level learners, and after reading most of it, I am inclined to agree: Beginners should stay away, and advanced students would probably find it dull.

There are many great online resources for studying Korean , and often teachers will give modern examples or use recent video clips when explaining difficult concepts. I studied textbooks and asked questions of native speakers (sometimes to random strangers on the street), and when I got home from Korea I become a rabid consumer of Korean pop culture.

Despite studying for 2 years and being in a relationship with a native speaker for all that time (she's fluent in English too) I still can't effectively communicate in the language. Olly works in Hangzhou China and is enthusiastic about entrepreneurship, e-commerce, Asia education, machine learning, tech and foreign languages.

In any case, there are more Korean learning apps and Hangul-based offerings in the mobile world now than ever before, and many of them require minimal time commitment for each use. In fact, it often seems that every expat in Korea and his brother is studying the language at various levels How to read Korean in 5 minutes but those who reach proficiency are a very small number.

Living in Korea for a few months or years is the best way to improve Korean speaking but it's not possible for everyone. She's from USA who first studied Chinese and then Korean. To practice my vocabulary, I write my vocab words about 10 times each (this also helps to ensure proper spelling).

To speed up the learning process, I think you should just briefly study Hangul from a free website - such as this one ;-) - or with ReadWrite Korean This makes a perfect match to Rosetta Stone. People learn languages for different reasons, we know, than just the ones we listed above, and I'm sure there are good reasons to learn the language, and - no - we're not telling you to not learn Korean.

This way, your brain has a lot more material to grab onto the next time you try to recall the word. The best and efficient way to learn Korean is live in Korea and make communication with Koreans. Oppositely, even in English I'm not fluent in a topic about chemistry reagents and enzymes, even though I understand English grammar and syntax.

If you don't intend to do an online or in-person course, at the very least you should consider getting a reputable series of Korean study books. The age is not really the problem, the problem is that older people don't have the time and passion to learn a new language, especially if it is very different than their own.

The simplest option is just to open up Google translate, type whatever you want to say in English (or another language) and translate to the language you want to speak and try saying it to the other person. In our case we made heavy use of our native Korean speaking friends alongside the sites iTalki and Lang-8.

Korean phrasebooks are full of awkward words and expressions that Koreans don't use. You will increase your professional opportunities now that you can speak Korean more confidently. Take a look at some of the awesome people who learn language with us. With this learning method, you will be given five, seven or ten words to choose from.

Step By Step Guide To Getting A Mortgage



When purchasing a home, shopping for the lowest mortgage rates is an essential strategy that can save you thousands of dollars over the life of the loan. You can sometimes go higher by increasing the down payment. Once you have decided on a mortgage type, you have to choose between fixed or variable interest rates. When applying for a loan, think about who you will make your payments to and whether they have good customer service.

Adjustable-rate loans are typically the recommended option for buyers who anticipate declining interest rates (to avoid being locked into a higher rate), who plan on living in the home for a limited number of years or who expect to pay off the loan before the interest-rate adjustment period is reached.

This should include a breakdown of the likely payments to the local council, water and electricity companies. Most mortgage lenders require your debt-to-income ratio to be 36% or less, so if taking out a loan pushes you past that point, you will want to avoid it at all costs.

You can begin building a down payment by creating a budget and deciding how much you can save each month (Check out Scotiabank's Money Finder Calculator ). You'll see that even $100 per month can quickly grow into a sizable amount over time. When lenders are asked to adjust one fee or rate, they may raise another.

Selena Maranjian : One key factor in how good of a mortgage you can get is your credit score. Valuation Fees - if you can get it done as part of the mortgage offer, that could potentially save up to a four-figure sum. If your credit score is between 500 and 579, you need to make a down payment of at least 10 percent to get an FHA mortgage.

The process of signing all of the final mortgage documents is known as "closing." At closing, you will finalize all of the details on your purchase. For a conventional loan, you need a FICO credit score of 620 or higher. The total interest you pay over the life of the loan is a big figure, and a low rate can save you thousands of dollars.

Some lenders are experts in helping first-time buyers who likely don't have the standard” 20% down payment, and may not yet have a high credit score Other lenders are better set up to mortgage work with self-employed borrowers, or buyers who need an extra-large loan.

And that's in addition to your monthly mortgage payments. The rate increase could mean a substantial increase in your monthly mortgage payments. Your lender will require that you have a homeowner's insurance policy (sometimes called hazard insurance) in effect at settlement.

Spending a few minutes learning what to look for in a loan estimate will help you home in on the mortgage lender that can help you snag the best deal. Your credit score tells lenders just how much you can be trusted to repay your loan on time. You also need good advice on the lender's fees, penalties and interest rates after closing (so you're not stuck paying crazy rates if you increase the mortgage before maturity or convert from a variable to a fixed term).

However, many lenders now offer loans that require less than 20 percent down — sometimes as little as 5 percent on conventional loans. There are a number of mortgage solutions that can help you find the right down payment that meets your goals and budget. Before applying for a construction loan, you may want to spend some time building your credit.

The Arcade Is Evolving



Ubisoft may have spent several months on Operation Health for Rainbow Six Siege already, but that doesn't mean the studio is finished when it comes to large-scale quality of life improvements for the squad-based tactical shooter. How it works is simple: compatible games, such as Tom Clancy's Rainbow Six Siege, are rendered at a higher, more detailed resolution, and the image intelligently shrunk back down to the resolution of your monitor using a custom-made filter, giving you up to 4K-quality graphics on your screen.

Terrorist Hunt is a game mode playable in solo or cooperatively with up to four additional teammates. Enemies now have the means to transform their environments into strongholds: they can trap, fortify, and create defensive systems to prevent breach by Rainbow teams.

Fixed - Sometimes the player spawns inside a wall while playing as a defender in "Secure Area" and selecting spawn point "Garage". Upgrade to The Gold Edition which includes the full original game, rare new bonus content from the Outbreak Collection, the Year 3 Pass, and a total of 1200 Rainbow Six Credits.

If you've used DSR in other games you'll know of these benefits already, but if you haven't had the chance here's a look at how Tom Clancy's Rainbow Six Siege's graphics scale with rendering resolutions. I reviewed the game , firstly playing the PC version at Ubisoft's offices for about eight hours, and then continuing on with the PS4 iteration at home.

Rainbow Six Siege is the upcoming installment of the acclaimed first-person shooter franchise on Xbox One. Development of Tom Clancy's Rainbow Six Siege is being led by Ubisoft Montreal. The team is currently working on the Tom Clancy's Rainbow Six® Siege” Live Game and on two AAA unannounced titles.

Outbreak is a fantasy zombies-style mode, where up to three players need to complete objectives and fight hordes of infected enemies. The first batch of content for season three revolves around Operation Chimera, a Team Rainbow mission to contain a parasitic infection in a remote town in New Mexico.

Rainbow Six Siege is the upcoming installment of the acclaimed first-person shooter franchise developed by the renowned Ubisoft Montreal studio for the new generation of consoles and PC. Inspired by the reality of counter terrorist operatives across the world, Rainbow Six Siege invites players to master the art of destruction.

It's also the very first Outbreak gameplay footage we've seen. This advance allows players to leverage destruction in meaningful ways. This ultimate gadget also Siege gives players steadier aim and revives teammates who are down-but-not-out. Breaking down the premise, enemy types, and gameplay driving Outbreak, the video provides a concise overview of what to expect at launch.

With a range of difficulty settings across modes - including a realistic option that kills you in a single shot - Rainbow Six Siege will offer online teams hours of online fun. An interim game, Rainbow Six: Patriots, had been in development, but the narrative-driven title was canceled in 2014 to make way for the more competitive, multiplayer-focused Siege.

Relief Mapping has a minimal influence on image quality during gameplay, but decreases performance by over 20 frames per second. Set for release as a free limited-time new mode starting on March 6 for all platforms (starting February 20 on test servers first), Outbreak will send players to New Mexico to fight civilians infected with a mutagenic alien parasite.

As you'll see in this guide however, Rainbow Six Siege features high-resolution textures, high-fidelity graphics, and NVIDIA GameWorks technology that enhances anti-aliasing and ambient occlusion in each and every match. Master the art of destruction and gadgetry in Tom Clancy's Rainbow Six® Siege.

Outbreak is a sidestep off of Siege's beaten path, which allows us to see the famous Operators thrown into a completely different environment filled with out-of-this-world enemies, an antithesis to all the crawling, leaning, and CCTV-watching of the main game.

5 Easy Facts About Icebreakt Described



Icebreakt is a social networking with exciting features like fast messaging, multimedia posting, fun and cool filters, stickers, close by chats , room talks, HD tone of voice & video calls…

Features and benefits Of Icebreakt:

1. End-to-end Crystal clear voice calls and HI-DEF Video Calls:
Get face-to-face together with your friends in a secured real-time network supported by 256-bit encryption.

2. Search the best businesses in your town
Access Ice places and occasions and interact with the very best businesses opportunities in your locality.

3. Try to get an access to your data by one click !
Icebreakt is GDPR compliant and that means you will always have a complete control and access to your data.

4. Keep on top of your newsfeed !
Our brilliant algorithm newsfeed offers you the power to decide what you would like to see anytime

5. Express yourself freely
Bored of texting the whole day? Make new friends and create the buzz with vocal position!

6. Apply to jobs nearby
With Icebreakt, your task applications will be immediately noticeable to recruiters of your neighborhood.

Icebreakt Icebreaker is an unique app that gives people the power to unlock the untapped potential about them. The application connects you with everyone close by, and becomes the starting place to talk about anything, with anyone.

Spark Tutorials With Scala



This tutorial provides a quick introduction to using Spark. Our really simple code here takes the words file from your machine (if it's not at this location, you can download a words file from the Linux Voice site 3 ), points your program to the downloaded file), and builds an RDD, with each item in the RDD being created from a line in the file.

In the DataFrame SQL query, we showed how to issue an SQL group by with filter query on a dataframe We can re-write the dataframe group by tag and count where count is greater than 5 query using Spark SQL as shown below. MLlib is the Spark library that allows machine learning in a distributed framework.

Data can be stored in HDFS, S3, or on the local filesystem of cluster nodes. Resource group: You have the option to create a new or select the resource group for the Spark cluster. After you've finished the Spark on Kubernetes Engine tutorial, you can clean up the resources you created on Google Cloud Platform so you won't be billed for them in the future.

In Spark, when using transformations (e.g. map on an RDD), we cannot make reference to other RDDs or objects that are not globally available in the execution context. After that, we created your very first dataframe and ran some queries on it to get the feel.

You can download Spark from the Apache website 2 I used the latest version at the time of writing (2.1.1 Pre-build for Hadoop 2.7). Download this version and extract the downloaded file. Spark was created by Matei Zaharia in the University of California Berkeley's AMPLab in 2009.

More specifically, the performance improvements are due to two things, which you'll often come across when you're reading up DataFrames: custom memory management (project Tungsten), which will make sure that your Spark jobs much faster given CPU constraints, and optimized execution Apache Spark Tutorial plans (Catalyst optimizer), of which the logical plan of the DataFrame is a part.

What is Spark tutorial will cover Spark ecosystem components, Spark video tutorial, Spark abstraction - RDD, transformation, and action in Spark RDD. It's the original API that Spark exposed and pretty much all the higher level APIs decompose to RDDs. Once that is installed go ahead and open it up. We are going to create our very first Scala project by going to File → New → Other.

The connector provides a method to convert a MongoRDD to a DataFrame. We can use the groupBy() method on a dataframe to execute a similar SQL group by query. In our case, we've created an update function called aggregate_tags_count that will sum all the new_values for each hashtag and add them to the total_sum that is the sum across all the batches and save the data into tags_totals RDD.

Once created, the distributed dataset (distData) can be operated on in parallel. Spark provides the shell in two programming languages : Scala and Python. It's easy to get started running Spark locally without a cluster, and then upgrade to a distributed deployment as needs increase.

Apache data frames are the collection of distributed data. First, let's create a file called twitter_app.py and then we'll add the code in it together as below. The first thing it is needed to do is importing required classes and creating an instance of JavaSparkContext as well as an instance of SQLContext to use features in Apache Spark.

RDD is an acronym for Resilient Distributed Dataset. RDD refers to Resilient Distributed Dataset It is the fundamental unit of data in Apache Spark. It is an in-memory data processing tool that can take large amounts of data and perform distributed operations across the data in many kinds of ways.

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