摩羯座
Sunday, 25 December 2022
摩羯座周运(12.26-1.1）| 2022年的最后一次水逆！
射手座周运(12.26-1.1）| 2022年的最后一次水逆！
关键词：不明确、分歧、猪队友
天蝎座周运(12.26-1.1）| 2022年的最后一次水逆！
天蝎座
Saturday, 19 November 2022
How Microsoft will be a First Mover in Generative A.I. with GPT-4?
How Microsoft will be a First Mover in Generative A.I. with GPT-4?
Microsoft has an unfair advantage in generative AI.Generative A.I. has also had me wondering about how GPT-4 will be released in the coming months, potentially opening up even more businesses and new use cases. I'd want to draw attention to the obvious - which no one appears to be discussing! This is Microsoft's advantage in this situation.
With GPT-4 on the horizon, Microsoft has a significant advantage in terms of early access to cutting-edge Generative.AI capabilities, as well as a long list of Cloud and software products to connect it with. It's difficult to overstate the significance of this advantage and how profitable their $1 billion partnership with OpenAI has become.
I've been pleased to present hot A.I. news from around the web, and it's got me wondering.
This has the potential to enhance everything Microsoft produces over the next ten years, and as an investor and shareholder, I believe this bodes good for the firm. In this brief essay, I'll go through several instances. If you feel Generative A.I. is a key trend that will scale well over the next decade, Microsoft will be an early first-mover in several ways.
After the $1 billion agreement and exclusive commercial access to GPT-3, Microsoft will shortly provide further financing to OpenAI. When GPT-4 is introduced, Microsoft will have an unfair advantage over its competitors.
This has the potential to enhance everything Microsoft produces over the next ten years, and as an investor and shareholder, I believe this bodes good for the firm. In this brief essay, I'll go through several instances. If you feel Generative A.I. is a key trend that will scale well over the next decade, Microsoft will be an early first-mover in several ways.
After the $1 billion agreement and exclusive commercial access to GPT-3, Microsoft will shortly provide further financing to OpenAI. When GPT-4 is introduced, Microsoft will have an unfair advantage over its competitors.
Designer by Microsoft
Microsoft's new Designer app, which is meant to compete with Canvas, integrates DALL-E 2 straight into the product for users. You may join the waitlist by clicking here. Canva's excellent brand appeal positions it as a mid-term threat to certain of Microsoft's products.
GitHub Copilot
Microsoft is utilising Generative A.I. to gain a competitive advantage in the future of coding helpers. With more sophisticated capabilities, voice commands, and an effective product, GitHub Copilit in 2022 shows promise of success. Again, thanks to OpenAI Codex. This product demonstrated how Microsoft is leveraging Generative A.I. in a truly innovative manner, given its ability to use its deep pockets to gain an advantage - it acquired GitHub and has since become a major corporate player.
#success #future #microsoft #brand #github
Microsoft's new Designer app, which is meant to compete with Canvas, integrates DALL-E 2 straight into the product for users. You may join the waitlist by clicking here. Canva's excellent brand appeal positions it as a mid-term threat to certain of Microsoft's products.
GitHub Copilot
Microsoft is utilising Generative A.I. to gain a competitive advantage in the future of coding helpers. With more sophisticated capabilities, voice commands, and an effective product, GitHub Copilit in 2022 shows promise of success. Again, thanks to OpenAI Codex. This product demonstrated how Microsoft is leveraging Generative A.I. in a truly innovative manner, given its ability to use its deep pockets to gain an advantage - it acquired GitHub and has since become a major corporate player.
#success #future #microsoft #brand #github
How to Use Modes and Routines in One UI 5 on a Samsung Phone
How to Use Modes and Routines in One UI 5 on a Samsung Phone
Modes and Routines is a new feature in Samsung's One UI 5 that let you open apps and change settings automatically depending on what you're doing.
The update to One UI 5 for Samsung Galaxy introduced several interesting new features, including Modes and Routines. These are two tools that give you new ways to match your phone settings, style, and layout to the activities in your daily life.
Here's how to set up and make the best use of Modes and Routines on your Samsung Galaxy device.
What Is the Difference Between Modes and Routines?
Modes and Routines are two different ways to achieve basically the same thing. Each tool allows you to quickly adapt how your Samsung device is set up, matching it to your needs at any particular moment.
For example, you could select the Workout Mode before exercising or create a Sleep Routine to launch when ready to hit the hay. Your device settings will instantly switch to suit those situations, perhaps silencing notifications or playing workout music.
The main difference between the two tools is that Modes can be enabled manually or triggered by other actions. Routines are more like IFTTT applets and are activated when set criteria are met. This could be based on location, time, or when an action is performed.
You will need to have One UI 5 or later on your Samsung Galaxy device to access and edit Modes and Routines using the method below. Here are the Samsung devices that will receive the One UI 5 update.
How to Use Preset Modes on a Samsung Galaxy
There are several Modes already created and ready to use when you first access the feature. These include Sleep, Workout, Driving, and Relax. You still need to configure these Modes before you can use them, but they give you a good starting point.
- To begin configuring Modes, go to Settings > Modes and Routines > Modes.
- Tap any of the preset Modes and then tap the Start button.
- Choose when or how the Mode should be activated. If you want to only enable the Mode manually, tap the Skip option.
- Choose the desired settings on each of the setup screens to configure the Mode to your liking. Some settings will require further selections, such as choosing an app to use.
- When the Mode is configured, click the Done button to see a summary of the settings you've chosen.
Enable Recommended Routines
It can sometimes be difficult to know when and where you might need settings to be changed. Instead, you can let your Samsung Galaxy recommend new Routines.
To enable Recommended Routines, you need to enable the Customization Service. You might see a popup on the Routines screen asking if you want to enable it. If not, you can find it by tapping the More button and going to Settings > Customization Service.
If you then regularly make changes to your device at the same time or location, you will eventually receive a notification about creating a Routine to make the changes automatically.
Creating Shortcuts to Modes and Routines
Any Modes or Routines which don't have an automatic trigger, such as a time or location, can be activated from their summary screens.
You can add a shortcut for Modes and Routines to the main apps list on your device. To do this, open Modes and Routines and tap the More button followed by Settings.
Tap the switch to enable Show Modes and Routines on the Apps screen. You can also choose to make active Routines appear on your device's lock screen.
Monday, 11 October 2021
Data Science with Python Simulation Test 1
Data Science with Python Simulation Test 1
1. What is the rank of the numpy array? array([[ 0, 4, 2], [ 9, 3, 7]])
SELECT THE CORRECT ANSWER: Rank 2
2. Choose the correct output of the following program: >>> a = np.array([11, 12, 13, 14]) >>> b = np.array([1, 2, 3, 4]) >>> c = a - b >>>c
SELECT THE CORRECT ANSWER: Array[10, 10, 10, 10]
3. Which of the following data structures of Pandas can handle 3D data?
SELECT THE CORRECT ANSWER: Panel
4. To combine datasets, the ____ function of Pandas can be utilized.
SELECT THE CORRECT ANSWER: Concat
5. What is the output of a and b? Given: a = 9/2 b = 5.2/2
SELECT THE CORRECT ANSWER: a = 4.5, b =2.6
6. A list is collection of values of multiple data types and can:
SELECT THE CORRECT ANSWER: add, update, remove
Project 4 -- Retail Analysis with Walmart Data
Retail Analysis with Walmart Data
DESCRIPTION
One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.
Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.
Dataset Description
This is the historical data that covers sales from 2010-02-05 to 2012-11-01, in the file Walmart_Store_sales. Within this file you will find the following fields:
Store - the store number
Date - the week of sales
Weekly_Sales - sales for the given store
Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week
Temperature - Temperature on the day of sale
Fuel_Price - Cost of fuel in the region
CPI – Prevailing consumer price index
Unemployment - Prevailing unemployment rate
Holiday Events
Super Bowl: 12-Feb-10, 11-Feb-11, 10-Feb-12, 8-Feb-13
Labour Day: 10-Sep-10, 9-Sep-11, 7-Sep-12, 6-Sep-13
Thanksgiving: 26-Nov-10, 25-Nov-11, 23-Nov-12, 29-Nov-13
Christmas: 31-Dec-10, 30-Dec-11, 28-Dec-12, 27-Dec-13
Analysis Tasks
Basic Statistics tasks
Which store has maximum sales
Which store has maximum standard deviation i.e., the sales vary a lot. Also, find out the coefficient of mean to standard deviation
Which store/s has good quarterly growth rate in Q3’2012
Some holidays have a negative impact on sales. Find out holidays which have higher sales than the mean sales in non-holiday season for all stores together
Provide a monthly and semester view of sales in units and give insights
Statistical Model
For Store 1 – Build prediction models to forecast demand
Linear Regression – Utilize variables like date and restructure dates as 1 for 5 Feb 2010 (starting from the earliest date in order). Hypothesize if CPI, unemployment, and fuel price have any impact on sales.
Change dates into days by creating new variable.
Select the model which gives best accuracy.
Good Luck!!!
Project 3 -- Comcast Telecom Consumer Complaints
Comcast Telecom Consumer Complaints .
DESCRIPTION
Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Only last month (October 2016) the authority fined them a $2.3 million, after receiving over 1000 consumer complaints.
The existing database will serve as a repository of public customer complaints filed against Comcast.
It will help to pin down what is wrong with Comcast's customer service.
Data Dictionary
Ticket #: Ticket number assigned to each complaint
Customer Complaint: Description of complaint
Date: Date of complaint
Time: Time of complaint
Received Via: Mode of communication of the complaint
City: Customer city
State: Customer state
Zipcode: Customer zip
Status: Status of complaint
Filing on behalf of someone
Analysis Task
To perform these tasks, you can use any of the different Python libraries such as NumPy, SciPy, Pandas, scikit-learn, matplotlib, and BeautifulSoup.
- Import data into Python environment.
- Provide the trend chart for the number of complaints at monthly and daily granularity levels.
- Provide a table with the frequency of complaint types.
Which complaint types are maximum i.e., around internet, network issues, or across any other domains.
- Create a new categorical variable with value as Open and Closed. Open & Pending is to be categorized as Open and Closed & Solved is to be categorized as Closed.
- Provide state wise status of complaints in a stacked bar chart. Use the categorized variable from Q3. Provide insights on:
Which state has the maximum complaints
Which state has the highest percentage of unresolved complaints
- Provide the percentage of complaints resolved till date, which were received through the Internet and customer care calls.
The analysis results to be provided with insights wherever applicable.
Good Luck!!!
Project 2 -- Movielens Case Study
Movielens Case Study
DESCRIPTION
Background of Problem Statement : The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. Members of the GroupLens Research Project are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems. The project is led by professors John Riedl and Joseph Konstan. The project began to explore automated collaborative filtering in 1992 but is most well known for its worldwide trial of an automated collaborative filtering system for Usenet news in 1996. Since then the project has expanded its scope to research overall information by filtering solutions, integrating into content-based methods, as well as, improving current collaborative filtering technology.
Problem Objective :
Here, we ask you to perform the analysis using the Exploratory Data Analysis technique. You need to find features affecting the ratings of any particular movie and build a model to predict the movie ratings.
Domain: Entertainment
Analysis Tasks to be performed:
Import the three datasets
Create a new dataset [Master_Data] with the following columns MovieID Title UserID Age Gender Occupation Rating. (Hint: (i) Merge two tables at a time. (ii) Merge the tables using two primary keys MovieID & UserId)
Explore the datasets using visual representations (graphs or tables), also include your comments on the following:
User Age Distribution
User rating of the movie “Toy Story”
Top 25 movies by viewership rating
Find the ratings for all the movies reviewed by for a particular user of user id = 2696
Feature Engineering:
Use column genres:
Find out all the unique genres (Hint: split the data in column genre making a list and then process the data to find out only the unique categories of genres)
Create a separate column for each genre category with a one-hot encoding ( 1 and 0) whether or not the movie belongs to that genre.
Determine the features affecting the ratings of any particular movie.
Develop an appropriate model to predict the movie ratings
Dataset Description :
These files contain 1,000,209 anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users who joined MovieLens in 2000.
Ratings.dat
Format - UserID::MovieID::Rating::Timestamp
Field Description
UserID Unique identification for each user
MovieID Unique identification for each movie
Rating User rating for each movie
Timestamp Timestamp generated while adding user review
UserIDs range between 1 and 6040
The MovieIDs range between 1 and 3952
Ratings are made on a 5-star scale (whole-star ratings only)
A timestamp is represented in seconds since the epoch is returned by time(2)
Each user has at least 20 ratings
Users.dat
Format - UserID::Gender::Age::Occupation::Zip-code
Field Description
UserID Unique identification for each user
Genere Category of each movie
Age User’s age
Occupation User’s Occupation
Zip-code Zip Code for the user’s location
All demographic information is provided voluntarily by the users and is not checked for accuracy. Only users who have provided demographic information are included in this data set.
Gender is denoted by an "M" for male and "F" for female
Age is chosen from the following ranges:
Value Description
1 "Under 18"
18 "18-24"
25 "25-34"
35 "35-44"
45 "45-49"
50 "50-55"
56 "56+"
Occupation is chosen from the following choices:
Value
Description
0 "other" or not specified
1 "academic/educator"
2 "artist”
3 "clerical/admin"
4 "college/grad student"
5 "customer service"
6 "doctor/health care"
7 "executive/managerial"
8 "farmer"
9 "homemaker"
10 "K-12 student"
11 "lawyer"
12 "programmer"
13 "retired"
14 "sales/marketing"
15 "scientist"
16 "self-employed"
17 "technician/engineer"
18 "tradesman/craftsman"
19 "unemployed"
20 "writer”
Movies.dat
Format - MovieID::Title::Genres
Field Description
MovieID Unique identification for each movie
Title A title for each movie
Genres Category of each movie
Titles are identical to titles provided by the IMDB (including year of release)
Genres are pipe-separated and are selected from the following genres:
Action
Adventure
Animation
Children's
Comedy
Crime
Documentary
Drama
Fantasy
Film-Noir
Horror
Musical
Mystery
Romance
Sci-Fi
Thriller
War
Western
Some MovieIDs do not correspond to a movie due to accidental duplicate entries and/or test entries
Movies are mostly entered by hand, so errors and inconsistencies may exist.
Good Luck!!!
Project: Customer Service Requests Analysis
Customer Service Requests Analysis
DESCRIPTION
Background of Problem Statement : NYC 311's mission is to provide the public with quick and easy access to all New York City government services and information while offering the best customer service. Each day, NYC311 receives thousands of requests related to several hundred types of non-emergency services, including noise complaints, plumbing issues, and illegally parked cars. These requests are received by NYC311 and forwarded to the relevant agencies such as the police, buildings, or transportation. The agency responds to the request, addresses it, and then closes it.
Problem Objective :
Perform a service request data analysis of New York City 311 calls. You will focus on the data wrangling techniques to understand the pattern in the data and also visualize the major complaint types.
Domain: Customer Service
Analysis Tasks to be performed:
(Perform a service request data analysis of New York City 311 calls)
Import a 311 NYC service request.
Read or convert the columns ‘Created Date’ and Closed Date’ to datetime datatype and create a new column ‘Request_Closing_Time’ as the time elapsed between request creation and request closing. (Hint: Explore the package/module datetime)
Provide major insights/patterns that you can offer in a visual format (graphs or tables); at least 4 major conclusions that you can come up with after generic data mining.
Order the complaint types based on the average ‘Request_Closing_Time’, grouping them for different locations.
Perform a statistical test for the following:
Please note: For the below statements you need to state the Null and Alternate and then provide a statistical test to accept or reject the Null Hypothesis along with the corresponding ‘p-value’.
Whether the average response time across complaint types is similar or not (overall)
Are the type of complaint or service requested and location related?
Dataset Description :
Field Description
Unique Key (Plain text) - Unique identifier for the complaints
Created Date (Date and Time) - The date and time on which the complaint is raised
Closed Date (Date and Time) - The date and time on which the complaint is closed
Agency (Plain text) - Agency code
Agency Name (Plain text) - Name of the agency
Complaint Type (Plain text) - Type of the complaint
Descriptor (Plain text) - Complaint type label (Heating - Heat, Traffic Signal Condition - Controller)
Location Type (Plain text) - Type of the location (Residential, Restaurant, Bakery, etc)
Incident Zip (Plain text) - Zip code for the location
Incident Address (Plain text) - Address of the location
Street Name (Plain text) - Name of the street
Cross Street 1 (Plain text) - Detail of cross street
Cross Street 2 (Plain text) - Detail of another cross street
Intersection Street 1 (Plain text) - Detail of intersection street if any
Intersection Street 2 (Plain text) - Detail of another intersection street if any
Address Type (Plain text) - Categorical (Address or Intersection)
City (Plain text) - City for the location
Landmark (Plain text) - Empty field
Facility Type (Plain text) - N/A
Status (Plain text) - Categorical (Closed or Pending)
Due Date (Date and Time) - Date and time for the pending complaints
Resolution Action Updated Date (Date and Time) - Date and time when the resolution was provided
Community Board (Plain text) - Categorical field (specifies the community board with its code)
Borough (Plain text) - Categorical field (specifies the community board)
X Coordinate (State Plane) (Number)
Y Coordinate (State Plane) (Number)
Park Facility Name (Plain text) - Unspecified
Park Borough (Plain text) - Categorical (Unspecified, Queens, Brooklyn etc)
School Name (Plain text) - Unspecified
School Number (Plain text) - Unspecified
School Region (Plain text) - Unspecified
School Code (Plain text) - Unspecified
School Phone Number (Plain text) - Unspecified
School Address (Plain text) - Unspecified
School City (Plain text) - Unspecified
School State (Plain text) - Unspecified
School Zip (Plain text) - Unspecified
School Not Found (Plain text) - Empty Field
School or Citywide Complaint (Plain text) - Empty Field
Vehicle Type (Plain text) - Empty Field
Taxi Company Borough (Plain text) - Empty Field
Taxi Pick Up Location (Plain text) - Empty Field
Bridge Highway Name (Plain text) - Empty Field
Bridge Highway Direction (Plain text) - Empty Field
Road Ramp (Plain text) - Empty Field
Bridge Highway Segment (Plain text) - Empty Field
Garage Lot Name (Plain text) - Empty Field
Ferry Direction (Plain text) - Empty Field
Ferry Terminal Name (Plain text) - Empty Field
Latitude (Number) - Latitude of the location
Longitude (Number) - Longitude of the location
Location (Location) - Coordinates (Latitude, Longitude)
Good Luck!!!
Saturday, 16 January 2021
Energetic drinks should be banned and made illegal?
Caffeinated drinks also known as energetic drinks targeted numerous adolescents are discovered to be perilous by the FDA with fixings that it will harm the body and cause unsafe results. As indicated by the FDA, "The term energized drink insinuates a reward that contains caffeine in a mix with various trimmings, for instance, taurine". Caffeinated drinks are terrible for our body, and the false energy they give is amazingly hurtful. They can possibly compromise our life. Caffeinated drinks which are said to help give us energy for long days, yet are fatal simultaneously. There is a developing concern with respect to the impacts of caffeinated drinks on both physical and mental wellness of the human body. Most caffeinated drinks organizations say it is the children's issue for drinking the caffeinated drinks items; however, all things considered it is there in any case. Perhaps the greatest threat of caffeinated drinks is death.
First and foremost, energetic drinks should be prohibited as they can hurt individuals' well being. There isn't anything that a caffeinated is useful for. Indeed there are some delicate advertisements that state "half less sugar!" However, the organizations are attempting to make them more beneficial and bad for our body. Despite the fact that there is less sugar, it is still terrible for our well being. These days, energetic drinks contain synthetics that are much more destructive than our modest sugar. Presently energetic drinks are utterly dynamic over to synthetics rather than sugar. It has been demonstrated by numerous dental specialists that they decay your teeth and various eudaemonia specialists said that they are terrible for your general wellbeing.
Besides, energetic drinks ought to be restricted as they can make individuals dependent. When they get dependent then their life is for all intents and purposes destroyed. Caffeine exacerbates individuals in work or school conditions. They can't center as they are hyperactive accordingly their grades at school and work execution will break down. Their family life would not be greatly improved either as they will swallow down liters of sodas so their relatives should pay for the expense. Since they are hyperactive then they may get effortlessly rankled and can prompt individuals getting injured. Synthetics contained in energetic drinks are more unsafe than you might suspect, wellbeing and life.
In conclusion, energetic drinks should be prohibited as they can hurt individuals' wellbeing and can demolish their public activity. These are only a portion of the numerous reasons why we have a tendency to uphold a business limitation on caffeinated beverages to kids and therefore the general public.
(Words: 407)
Do schools provide students with enough opportunities to be creative?
With the increasing tension on the faculties to line up the understudies for his or her general events, schools are making certain of late to administer a resourceful climate in their schooling framework for the understudies. A college could be a position of originality wherever understudies will learn and communicate. It is where the psyche can develop and switch into a tremendous quality for research, comprehension and learning. In any case, it is very exhausting to vary the education system or structures, where measuring the understudies supported imprints is a definitive measure for creating a choice for the youngsters. So, do schools provide students with enough opportunities to be creative?
From primary, understudies are advised to remain inside the lines, to just utilize certain tones, and to peruse, compose or think in a specific way. In the event that it was not done the manner in which others expected, they would bomb the task or be advised to do it over once more.
Besides, the school's breaking point is innovativeness whether it's in a workmanship class or a science class; despite the fact that understudies are advised to "think outside the case… " and be inventive. In any situation, focus is deducted for not remaining inside the "rubric" rules. Furthermore, children are being instructed out of their inventive outlooks; congruity and guidelines have dominated however it is still schooling that will take us to what's to come. This age will be the future craftsmen, researchers, legal advisors thus considerably more. In the event that they are educated at a youthful age to communicate in such brilliant manners, they may have the option to utilize those aptitudes later on to make things like therapeutic fixes and mechanical headways. However, scholastic capacity has come to characterize insight and society has come to center around what occupation gets the most noteworthy evaluations or grades. As indicated by the Adobe State of Creative Study, “Just one of every four individuals accept that they are satisfying their inventive potential, while the greater part of those overviewed feel that innovativeness is being smothered by their schooling frameworks.”
In a nutshell, not all understudies gain proficiency with the equivalent. Studies ought to be additional individualized such understudies will expand their learning potential. For example, lecturers have to be compelled to notice the foremost ideal in every understudy and learns every student deserves the same occasion to point out their innovativeness in manners that may facilitate them progress into the common laborers of things to come.
(Words: 410)
Wednesday, 30 December 2020
Makan Kitchen DoubleTree by Hilton Hotel Kuala Lumpur
Pivot Lounge
Serving an assortment of treats and tidbits, the casual Axis Lounge at the DoubleTree by Hilton Kuala Lumpur is the ideal spot for a calm tête-á-tête or private venture meeting or essentially to loosen up and watch the world pass by. Renew with a newly fermented espresso or a pot of tea while you treat yourself to a choice of light sandwiches and heavenly cakes. At night, let our live diversion serenade you with the most recent graph clinchers and exemplary hits.
Makan Kitchen
Enjoy a genuine provincial Malaysian feasting experience at Makan Kitchen in the DoubleTree by Hilton Kuala Lumpur inn. Live intuitive show kitchens exhibit the colossal variety of Malaysian food and you will encounter the excursion from the crude fixings to the dish and plate. The eatery's few cooking stations highlight notable specialities from Malaysian, Peranakan, Chinese, Malay, Iban and Kristang and Indian foods, giving a genuine kind of the region's neighborhood cooking.
Level 11, The Intermark, 348, Jalan Tun Razak,
Kampung Datuk Keramat, 50400 Kuala Lumpur, Malaysia.
+60 (3) 2172 7272
Kampung Datuk Keramat, 50400 Kuala Lumpur, Malaysia.
+60 (3) 2172 7272
Subscribe to:
Posts (Atom)