Seven years ago, under the direction of Spike Jonze, a not-so-classic movie was released, although it contains a classic romance at its core: Her. As in all romantic movies, the girl saves the man from the depressive process and leaves the man in solitude when their full relationship reaches top speed. Despite this classic script, it is the most talked-about and still analyzed film of the year it was released.
What are the most important technological innovations that we have learned during covid? We are currently having Covid second wave and it seems like it will be tougher than the first one. New lockdown rules were decided to apply by many countries. On the other hand, there are good signs related to vaccines that possible to develop in the near future.
Have you read?
The advent of technology transformed our lives from artificial intelligence to nanotechnology even before Covid. However, while going through these global challenges, we all understood is how technological innovations are the key to us.
According to Top 10 Emerging Technologies of 2020, I would like to provide some insights into healthcare.
1. Virtual Patients
I really like this virtual patient idea because it can create opportunities like faster and safer clinical trials. For this idea, high-quality images of organs are needed, and to be able to understand these organs’ functions, mathematical and statistical models are another necessary part. Why do I like this technology? Because, as I mentioned before, Covid is a huge challenge for humanity. However, especially doctors are suffering a lot more than other job groups because they have to contact patients somehow – it is a huge risk! Instead of physically contacting virtual organs or body systems could be helpful in the initial assessments of treatments. It means safer, too.
2. Digital Medicine
What is this digital medicine and improvements? This medicine contains sensors and these sensors send data to apps to detect issues. First of all, this is a good opportunity for people who have limited access to health services. Again my example will be related to Covid because people who are from a rural area have a lack of health services, unfortunately. As all we know, early diagnosis is really significant and with this medicine, the app could be helpful to track the therapies.
The big advantage of microneedles is painless injections for sure – At least for me. Since my childhood, I scared of needles and I cannot see any blood or even blood drop. Unfortunately, it irritates me and I have a memory of it. It was my first experience of donating blood and I went to the hospital in the morning without having breakfast. After donating my blood, as soon got up, I fainted and what I only remembered thing when I opened my eyes is nurses.
If I turn back to the topic, these microneedles penetrate the skin without pain and even mixed into creams. It means we can use them easily without having any trouble. On the other hand, these microneedles could allow do our blood tests at home and analyze them, after analyzing we can send the results to the hospital. This is another good part because we do not need to wait in long lines for the blood testing and probably this process will not be expensive. Thus, care will be more accessible from urban areas to rural areas.
Imagine a world where we have developed many things to help humanity, eradicated diseases, and issues. Such amazing!
Hello everyone, as a statistician, I can say that most statisticians dream of becoming a data miner but the road to be followed for this is long and bumpy. According to Google Trends data, “Data mining” and “Data Miner” searches in Google Web Search are very popular around the world. So what makes data mining so attractive?
Currently, the multiplicity of data and the difficulty of using the information required after processing data has increased the need for data mining.
Data mining is an automatic or semi-automated technical process used to analyze and interpret large amounts of dispersed information and turn it into information. Data mining is frequently used in marketing, retail, banking, healthcare, and e-commerce application areas.
Stages of Data Mining
We can basically consider the data mining process is:
- Obtain and secure the data stack
- Data Reduction
- Applying Related Data Mining Algorithms
- Testing and training results in related software languages (R, Python, Java)
- Evaluation and presentation of results
To become a data miner requires programming, mathematics, statistics, machine learning, and some personal skills. Let’s examine these requirements in a little more detail together.
- Algorithmic approach
- Programming logic
- Big data technologies(Spark, Hive, Impala, DBS, etc.)
- SQL(databases), NoSQL, Bash Script, R, Python, Scala, SPSS, SAS, MATLAB, etc.
- Cloud technologies (AWS, Google Cloud, Microsoft Azure, IBM, etc.)
2)Statistical Learning (SL):
- Tidy data process and data preprocessing
- Regression Models
- Linearity and causality
- Inference Statistics
- Multivariate Statistical Methods
- Association Rule Learning
- Text Mining, NLP
- Reinforcement Learning
- Deep Learning
- Being Able To Ask The Right Questions
- Analytical Perspective
- Problem Solving Ability
- Storytelling and presentation ability
As a result, we talked briefly about the definition, stages, and requirements of data mining in this blog. Hope to see you in our next blog.
Is the Gig Economy really important? How Amazon, Netflix, Uber, and Airbnb have become so successful? What is the main purpose of Uber and Netflix? Many of us want to be rich, successful, and respected persons and some of us want to build Billion Dollar Business Models to become a more powerful person. Have you thought about it if it is not as difficult as we might think?
- Amazon: Changed the way people shop, taking over a huge part of the retail industry.
- Airbnb: Changed the way people in hotel stays.
- Netflix: Reinvented the video and movie rental industry.
- Uber: Changed the way people form transportation. E.g. ride-sharing
Let’s back to our question – How? It is an undeniable fact is that they spend their time on IT infrastructure, but for sure technology alone could not have accounted for their success. It is possible to be heard a term called “user experience” by many of us and this term has become really important because those unicorns focused on their users’ expectations, needs, desires… etc. I think it is the basic explanation of the user experience.
Let’s look at more detailed explanations of the two of them:
What is the main purpose of Uber as a Gig Economy?
There are many Gig Economy examples such as Amazon, Netflix, Uber, Airbnb. However, in this paragraph, I am going to explain Uber.
Based on Wikipedia’s description of Uber is an American company that offers vehicles for hire, food delivery (Uber Eats), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental. What I remember is Uber can be the early adopter of the Gig Economy, and what is obvious thing is that the way people form of transportation was changed by its service. I would like to give you statistics about Uber trips by year and according to Forbes, Uber provided 6.9 Billion rides in 2019 – Such an amazing!
Looking at things from a different perspective is really matters because as all we know taxies are concern with regulations. For example, if I want to go somewhere, I have to call a cab or search for it and if I am lucky I can find one; or if I am on a street and need a cab, first the taxi drivers have to be satisfied with my “long trip” because of price. Let’s say my trip is not “long”, they even do not let me get a ride. On the other hand, Uber provides a passenger-friendly riding experience, it is easy to order a cab with a simple app and there are really flexible pricing options whether the trip is long or short because it has a user-centric experience.
What is the main purpose of Netflix as a Gig Economy?
There are many Gig Economy examples such as Amazon, Netflix, Uber, Airbnb. However, in this paragraph, I am going to explain Netflix.
The main purpose of Netflix is to focus on its users and what they wanted. According to the latest numbers, Revenue earned by Netflix in Q1 of 2020 is $5.77 billion. The behind story is similar to Uber because as I mentioned they focused on what customers want, desires, and what are their frustrations and etc. What do customers want? They want to be able to watch different kinds of movies without high prices and limitations. So if I give you a basic answer to what Netflix is doing is a subscription-based rental system. Moreover, Netflix has a different pricing structure around the world. Here’s what you get with each plan:
- Basic: The Basic streaming plan costs $8.99 per month and has the most limited features. You can only use it on a single screen at a time (which is fine if you’re the only user of the account), and resolution is limited to standard definition (SD), which is equivalent to old, pre-HD television.
- Standard: The Standard streaming plan costs $13.99 per month and allows you two watch on two screens at a time in high definition (HD).
- Premium: The Premium streaming plan costs $17.99 per month. For that, you can watch on four screens at once (ideal for a large family), and you can video programming in HD or 4K Ultra HD, if available.
There is a link that similar to this topic if you would like to read how the advertisement systems work https://globalaihub.com/ai-for-advertisements/
All these businesses having their services with the help of big data and data analysis. They identify their customers’ expectations and doing analysis but of course to be able to make data meaningful they need huge datasets. In addition, they need to expand their businesses more, and more and it means attracting new customers is the other step. Therefore, they need to improve their business models and revenues with different solutions, and all solutions are related to each other.
AI and Climate Change – Part 2
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When deep learning and image processing are blended, of course, one of the most well-known methods of object detection is to segment images. In the image division method, each of the pixels in a region is masked by removing similarities according to some characteristic or calculated properties, such as color values, density, texture.
Hello everyone, in this article, I will convey to you the logic of the operation of artificial neural networks, which are recognized as the lifeblood of deep learning and form the basis of artificial intelligence, and the methods of deep learning.
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Hello, dear readers, more than a beautiful day. In this article, I’ll give you a little information about the science of NLP that I enjoy the most. When it came to word embedding, I went through a process of research from many different sources to get information. And I have to say, one of the things I like to research most in the field of machine learning is natural language processing! Let’s make this beautiful process more fun with you.
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User management is enough to do almost a lot of operations on your computer. A new user can be created, and you can also have the right to delete another user. Along with this article, you will now be able to create a new user, and of course, control of this system is in your hands!
Hello everyone, are you ready to slowly approach the exciting scenes in AI movies that many of us crave?
Django is an open source and high-level web roof. Python’s desktop code structure is provided by Django. As a matter of fact, it is often seen that using Django is the reason for mirroring the system to web applications that will avoid complexity.