Learn IT - Books tags statistics

The Art of Statistics: Learning from Data (Pelican Books)

Pelican, 2019

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more...

Python for Data Science For Dummies (For Dummies (Computer/Tech))

For Dummies, 2019

The fast and easy way to learn Python programming and statistics

Python is a general-purpose programming language created in the late 1980s?and named after Monty Python?that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

R Deep Learning Essentials

Packt Publishing, 2016

Key Features

Harness the ability to build algorithms for unsupervised data using deep learning concepts with R

Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models

Build models relating to neural...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Rates of Evolution: A Quantitative Synthesis

Cambridge University Press, 2019

How fast is evolution, and why does it matter? The rate of evolution, and whether it is gradual or punctuated, is a hotly debated topic among biologists and paleontologists. This book compiles and compares examples of evolution from laboratory, field, and fossil record studies, analyzing them to extract their underlying rates. It concludes that...

The Complete Idiot's Guide to Statistics, 2nd Edition

Alpha, 2007

Statistics, statistics everywhere, but not a single word can we understand! Actually, understanding statistics is a critically important skill that we all need to have in this day and age. Every day, we are inundated with data about politics, sports, business, the stock market, health issues, financial matters, and many other topics....

Scientific Methods in Mobile Robotics: Quantitative Analysis of Agent Behaviour

Springer, 2006

Mobile robots are widely applied in a range of applications from transportation, surveillance through to health care. In all these applications it is clearly important to be able to analyse and control the performance of the mobile robot and it is therefore surprising that formalised methods to achieve this are not readily available. This book...

Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

No Starch Press, 2019

Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.

Probability and statistics are increasingly important in a huge range of professions. But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian...

Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Packt Publishing, 2018

Build a strong foundation of machine learning algorithms in 7 days

Key Features

Use Python and its wide array of machine learning libraries to build predictive models

Learn the basics of the 7 most widely used machine learning algorithms within a week

Know...

Fundamentals of Probability and Statistics for Engineers

John Wiley & Sons, 2004

This book was written for an introductory one-semester or two-quarter course in probability and statistics for students in engineering and applied sciences. No previous knowledge of probability or statistics is presumed but a good understanding of calculus is a prerequisite for the material.

The development of this book was guided by a...

A First Course in Probability (8th Edition)

Pearson Education, 2009

A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering...

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