Introduction to Data in Machine Learning

DATA: It can be any unprocessed fact, value, text, sound, or picture that is not being interpreted and analyzed. Data is the most important part of all Data Analytics, Machine Learning, Artificial Intelligence. Without data, we can’t train any model and all modern research and automation will go in vain. Big Enterprises are spending lots of money just to gather as much certain data as possible.

Example: Why did Facebook acquire WhatsApp by paying a huge price of $19 billion?
The answer is very simple and logical – it is to have access to the users’ information that Facebook may not have but WhatsApp will have. This information of their users is of paramount importance to Facebook as it will facilitate the task of improvement in their services.

INFORMATION: Data that has been interpreted and manipulated and has now some meaningful inference for the users.

KNOWLEDGE: Combination of inferred information, experiences, learning, and insights. Results in awareness or concept building for an individual or organization.

How we split data in Machine Learning?

Training Data: The part of data we use to train our model. This is the data that your model actually sees(both input and output) and learns from.

Validation Data: The part of data that is used to do a frequent evaluation of the model, fit on the training dataset along with improving involved hyperparameters (initially set parameters before the model begins learning). This data plays its part when the model is actually training.

Testing Data: Once our model is completely trained, testing data provides an unbiased evaluation. When we feed in the inputs of Testing data, our model will predict some values(without seeing actual output). After prediction, we evaluate our model by comparing it with the actual output present in the testing data. This is how we evaluate and see how much our model has learned from the experiences feed in as training data, set at the time of training.

Properties of Data –

Volume: Scale of Data. With the growing world population and technology at exposure, huge data is being generated each and every millisecond.
Variety: Different forms of data – healthcare, images, videos, audio clippings.
Velocity: Rate of data streaming and generation.
Value: Meaningfulness of data in terms of information that researchers can infer from it.
Veracity: Certainty and correctness in data we are working on.

Some facts about Data:

As compared to 2005, 300 times i.e. 40 Zettabytes (1ZB=10^21 bytes) of data will be generated by 2020.
By 2011, the healthcare sector has a data of 161 Billion Gigabytes
400 Million tweets are sent by about 200 million active users per day
Each month, more than 4 billion hours of video streaming are done by the users.
30 Billion different types of content are shared every month by the user.
It is reported that about 27% of data is inaccurate and so 1 in 3 business idealists or leaders don’t trust the information on which they are making decisions.

Comments

Difference between loc() and iloc() in Pandas DataFrame

Difference between loc() and iloc() in Pandas DataFrame Pandas library of python is very useful for the manipulation of mathematical data and is widely used in the field of machine learning. It comprises many methods for its proper functioning. loc() and iloc() are one of those methods. These are used in slicing data from the Pandas DataFrame. They help in the convenient selection of data from the DataFrame. They are used in filtering the data according to some conditions. The working of both of these methods is explained in the sample dataset of cars. loc() : loc() is label-based data selecting method which means that we have to pass the name of the row or column which we want to select. This method includes the last element of the range passed in it, unlike iloc() . loc() can accept the boolean data unlike iloc() . iloc() : iloc( ) is an indexed-based selecting method which means that we ...

Best digital marketing in Perth

Best digital marketing in Perth Introduction Your introduction into the brave new world of the digital space will be custom-tailored to your business needs requirements. You will be introduced to the crew who will be handling your project, from inception to the launch into the market. Assess It will be our job to not only know your customers but how they engage with the core products and brand relationships . From here we break down what we research, to identify the core elements needed to engage the customer. Create It’s imperative that the design of your vessel is done right from the start. Its shape, level of focus, and attention to detail are crucial for a prosperous, lucrative, and extended journey. We will always present concepts and suggestions as per the requirement, but we truly believe this process should be a collaborative one between the creative crew of the PWD and the client. The final form will dictate its progression into the development and manufacturi...

Introduction to Transfer Learning

Introduction to Transfer Learning We, humans, are very perfect in applying the transfer of knowledge between tasks. This means that whenever we encounter a new problem or a task, we recognize it and apply our relevant knowledge from our previous learning experiences. This makes our work easy and fast to finish. For instance, if you know how to ride a bicycle and if you are asked to ride a motorbike which you have never done before. In such a case, our experience with a bicycle will come into play and handle tasks like balancing the bike, steering, etc. This will make things easier compared to a complete beginner. Such leanings are very useful in real life as it makes us more perfect and allows us to earn more experience. Following the same approach, a term was introduced Transfer Learning in the field of machine learning. This approach involves the use of knowledge that was learned in some task, and apply it to solve the problem in the related target task. While most ...

What is Copywriting? A Comprehensive Guide

What is Copywriting? A Comprehensive Guide Introduction to Copywriting Copywriting is the art and science of crafting persuasive and compelling messages to promote a product, service, or idea. It's a vital component of marketing and advertising that can significantly impact a company's success. Whether through website content, social media posts, emails, advertisements, or any other medium, effective copywriting can capture attention, build trust, and drive action. The Importance of Copywriting In today's digital age, where consumers are bombarded with information from all directions, having clear and engaging copy is more critical than ever. Good copywriting can differentiate a brand, communicate its value proposition, and create a lasting impression on the audience. It’s not just about selling a product but also about building relationships and fostering loyalty. Historical Context Copywriting has evolved significantly since its inception. In the early days of print med...

What is ChatGPT AI?

ChatGPT AI ChatGPT is a language model developed by OpenAI. It is a conversational AI model that can answer questions and generate text based on the input it receives. It was trained on a massive amount of text data and can generate human-like responses to various questions. ChatGPT is commonly used in customer service, virtual assistants, and chatbots. Benefits of ChatGPT AI Natural language processing: ChatGPT utilizes advanced NLP algorithms to understand human language, making conversations more human-like and natural. Easy access to information: ChatGPT can provide answers to a wide range of questions, making it an ideal tool for customers who are looking for quick answers. Improved customer experience: With ChatGPT, customers can get answers to their questions instantly, reducing the waiting time and improving their overall experience. 24/7 availability: ChatGPT is available 24/7, which means that customers can get answers to their questions at any time of the day, even out...

ArrayLinks

Search This Blog