Learn IT - Books tags scientist

Data Analysis with Python: A Modern Approach

Packt Publishing, 2018

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

Bridge your data analysis...

Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

Packt Publishing, 2018

Understand, explore, and effectively present data using the powerful data visualization techniques of Python

Key Features

Use the power of Pandas and Matplotlib to easily solve data mining issues

Understand the basics of statistics to build powerful predictive data...

Python Interviews: Discussions with Python Experts

Packt Publishing, 2018

Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You'll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python.

Key Features

Hear from these...

Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras

Packt Publishing, 2018

Explore TensorFlow's capabilities to perform efficient deep learning on images

Key Features

Discover image processing for machine vision

Build an effective image classification system using the power of CNNs

Leverage TensorFlow's capabilities to...

Secure Programming with Static Analysis (Addison-Wesley Software Security Series)

Addison Wesley, 2007

The First Expert Guide to Static Analysis for Software Security!

Creating secure code requires more than just good intentions. Programmers need to know that their code will be safe in an almost infinite number of scenarios and configurations. Static source code analysis...

Secure Communicating Systems: Design, Analysis, and Implementation

Cambridge University Press, 2001

This volume details what every computer scientist ought to know about cryptographic systems, security protocols, and secure information flow in programs. Highlights include discussions of the new advanced encryption standard "Rijndael"; an optimal public-key encryption using RSA which turns "textbook RSA" into a practical...

TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Packt Publishing, 2018

Skip the theory and get the most out of Tensorflow to build production-ready machine learning models

Key Features

Exploit the features of Tensorflow to build and deploy machine learning models

Train neural networks to tackle real-world problems in Computer Vision and...

Algorithm Design

Addison Wesley, 2005

Algorithm Design introduces algorithms by looking at the real-world problems that motivate them. The book teaches a range of design and analysis techniques for problems that arise in computing applications. The text encourages an understanding of the algorithm design process and an appreciation of the...

F# for Scientists

John Wiley & Sons, 2008

If you’re a computationally-oriented researcher, scientist, or developer who needs to learn the basics of functional programming, .NET and scientific computing, F# for Scientists will bring you up to speed with basic syntax and programming language concepts. Written in a clear and concise style with practical and enlightening...

Python for Software Design: How to Think Like a Computer Scientist

Cambridge University Press, 2009

In January 1999, I was preparing to teach an introductory programming class in Java. I had taught it three times and I was getting frustrated. The failure rate in the class was too high, and, even for students who succeeded, the overall level of achievement was too low.

One of the problems I saw was the books. I had tried...

Understanding and Using Linear Programming (Universitext)

Springer, 2006

From the reviews:

"The authors’ guiding phrase is ‘what every theoretical computer scientist should know about linear programming’. … this book is easy and pleasant reading. A number of examples and illustrations are provided throughout the book. … The book is well written and well organized; I recommend it...

Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Apress, 2019

Are algorithms friend or foe?

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we...

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