David Park has 5 audiobooks on Listento.it, narrated by 3 narrators. The most-rated is Data Science from Scratch.
Data Science: 2 Manuscripts in 1
Summary
Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50 percent since last year. These scientists often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science. Amount of data that is collected by these companies are without any bounds. Semi-structure to big unstructured data is stored in large frameworks of these companies. Now the question is how to use this. What you will gain as knowledge in this audiobook: Why Is Data Science Widely Used? Why Should You Study Data Science? Why Should One Consider Data Science as a Career? Data Science: An Exciting Career Option Types of Data Loss and Recovery Options Data Science and Its Wide Range of Applications What Are the Programming Languages Required for Data Science? Meaning of Data Science in Depth 4 Weird Ways How Data Is Used around the World 5 Reasons Why Data Science Could Be the Advertising Wave of the Future It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.
©2020 David Park (P)2020 David Park
Machine Learning with Python
Summary
It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but go perfectly with your skill sets. It would lead to having a good impression on your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the road map of your career in this field. Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. Also, it can be operated on Linux, Windows, Mac OS, and UNIX. What you will gain in this book: What is meant by machine learning? A short history of machine learning Machine learning - automation within a knowledge The challenges of machine learning Advantages and disadvantages of machine learning language Machine learning in robotics Machine learning applications Machine learning algorithms How machine learning is changing the world - and your everyday life Machine learning is a new, trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings.
©2020 David Park (P)2020 David Park
Data Science from Scratch
Summary
Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50 percent since last year. These scientists often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science. Amount of data that is collected by these companies are without any bounds. Semi-structure to big unstructured data is stored in large frameworks of these companies. Now the question is how to use this. What you will gain as knowledge in this audiobook: Why Is Data Science Widely Used? Why Should You Study Data Science? Why Should One Consider Data Science As A Career? Data Science: An Exciting Career Option Types of Data Loss and Recovery Options Data Science and Its Wide Range of Applications What Are the Programming Languages Required for Data Science? Meaning of Data Science in Depth 4 Weird Ways How Data Is Used Around the World 5 Reasons Why Data Science Could Be the Advertising Wave of the Future It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.
©2020 David Park (P)2020 David Park
Machine Learning with Python
Summary
It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but go perfectly with your skill sets. It would give a good impression to your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the road map of your career in this field. Python is a high-level scripting language. It is easy to learn and robust than other words because of its dynamic nature and simple syntax which allows small lines of code. Included indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. Also, it can be operated on Linux, Windows, Mac OS, and UNIX. What you will gain in this book: What is meant by machine learning? A short history of machine learning. Machine learning - automation within a knowledge. The challenges of machine learning. Advantages and disadvantages of machine learning language. Machine learning in robotics. Machine learning applications. Machine learning algorithms. How machine learning is changing the world - and your everyday life. Machine learning is a new trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings.
©2019 David Park (P)2020 David Park
Data Science from Scratch
Summary
Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50 percent since last year. These scientists, often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist. Data science is a field of study that is growing at a fast pace. From big tech companies to e-commerce companies to websites and many others are now relying on data science, the amount of data that is collected by these companies are without any bounds. Semi-structured to big unstructured data is stored in large frameworks of these companies. Now, the question is how to use this. What you will gain as knowledge in this book include: Why Is Data Science Widely Used? Why Should You Study Data Science? Why Should One Consider Data Science As A Career? Data Science: An Exciting Career Option Types of Data Loss and Recovery Options Data Science and Its Wide Range of Applications What Are the Programming Languages Required for Data Science? Meaning of Data Science in Depth 4 Weird Ways How Data Is Used Around the World 5 Reasons Why Data Science Could Be the Advertising Wave of the Future It is a field where one should be trained and practiced. Without proper training and application skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.
©2019 David Park (P)2019 David Park