How Long to Read Machine Learning and Big Data with kdb+/q

How Long Does it Take to Read Machine Learning and Big Data with kdb+/q?

It takes the average reader 10 hours and 40 minutes to read Machine Learning and Big Data with kdb+/q by Jan Novotny

Assuming a reading speed of 250 words per minute. Learn more

Description

Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality ­to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency data Delve into “meat” of q programming to solve practical economic problems Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data ­– more variables, more metrics, more responsiveness and altogether more “moving parts.” Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

How long is Machine Learning and Big Data with kdb+/q?

Machine Learning and Big Data with kdb+/q by Jan Novotny is 640 pages long, and a total of 160,000 words.

This makes it 216% the length of the average book. It also has 196% more words than the average book.

How Long Does it Take to Read Machine Learning and Big Data with kdb+/q Aloud?

The average oral reading speed is 183 words per minute. This means it takes 14 hours and 34 minutes to read Machine Learning and Big Data with kdb+/q aloud.

What Reading Level is Machine Learning and Big Data with kdb+/q?

Machine Learning and Big Data with kdb+/q is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Machine Learning and Big Data with kdb+/q?

Machine Learning and Big Data with kdb+/q by Jan Novotny is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Machine Learning and Big Data with kdb+/q by Jan Novotny on Amazon click the button below.