The Creativity Factor
by Pratt, Garry;
English | 2022 | ISBN:1399400371 | 257 pages | True PDF EPUB | 6.87 MB

Published 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 610.49 MB | Duration: 0h 55m
Succeed as a Stock Market Investor Using top Hedge Fund Trading Strategies

Patrick Jephson, "The Meghan Factor: A Royal Expert's Insight on America's New Princess-and How She Could Change the Windsor Dynasty Forev"
English | ISBN: 1642930369 | 2018 | 146 pages | EPUB | 2 MB
As Californian TV star Meghan Markle becomes a British princess, is this the dawn of a bright new era for the ancient House of Windsor...or a dangerous, destabilizing step too far?

Ye Y Latent Factor Analysis for High-dimensional and Sparse Matrices 2022 | 3.98 MB
English | 99 Pages

Title: Latent Factor Analysis for High-dimensional and Sparse Matrices: A particle swarm optimization-based approach (SpringerBriefs in Computer Science)
Author: Ye Yuan
Year: 2022

Latent Factor Analysis for High-dimensional and Sparse Matrices:
A particle swarm optimization-based approach
English | 2022 | ISBN: 9811967024 | 174 Pages | PDF EPUB (True) | 21 MB

English | ASIN: B0B8KP9WD5 | 2022 | 5 hours and 28 minutes | MP3 | M4B | 156 MB
New neuroscience research is showing us the long-term impact that reading aloud has on children, stretching all the way into adulthood. We have always known that reading aloud is an important way to bond with your baby and develop language skills. But the latest research, led by author Rekha S. Rajan, shows that individuals who were read to more frequently as children showed a healthier brain in old age. Parents reading to their own child was a valuable and important part of supporting lifelong brain development.

English | 2022 | ISBN: 1119906741 | 307 pages | True PDF | 13.28 MB
Systematically secure your financial future—Dummies makes it easy
Factor Investing For Dummies helps you go beyond the investment basics, with proven techniques for making informed and sophisticated investment decisions. Using factor investing, you'll select stocks based on some predetermined, well, factors. Momentum, value, interest rates, economic growth, credit risk, liquidity—all these things can help you identify killer stocks and improve your returns. This book explains it all, and helps you implement a strategic factor investing plan, so you can boost your portfolio's performance, reduce volatility, and enhance diversification. You'll also learn what not to do, with coverage of the factors that have failed to deliver consistent returns over time. We explore factor-based ETFS and loads of other ideas for injecting some factors into your investment game.

English | 2022 | ISBN: 1032246685 | 585 pages | True PDF | 22.99 MB
Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them. Factor analysis in the form of principal components analysis (PCA) or principal factor analysis (PFA) is familiar to most social scientists. However, what is less familiar is understanding that factor analysis is a subset of the more general statistical family of dimension reduction methods.
The social scientist's toolkit for factor analysis problems can be expanded to include the range of solutions this book presents. In addition to covering FA and PCA with orthogonal and oblique rotation, this book's coverage includes higher-order factor models, bifactor models, models based on binary and ordinal data, models based on mixed data, generalized low-rank models, cluster analysis with GLRM, models involving supplemental variables or observations, Bayesian factor analysis, regularized factor analysis, testing for unidimensionality, and prediction with factor scores. The second half of the book deals with other procedures for dimension reduction. These include coverage of kernel PCA, factor analysis with multidimensional scaling, locally linear embedding models, Laplacian eigenmaps, diffusion maps, force directed methods, t-distributed stochastic neighbor embedding, independent component analysis (ICA), dimensionality reduction via regression (DRR), non-negative matrix factorization (NNMF), Isomap, Autoencoder, uniform manifold approximation and projection (UMAP) models, neural network models, and longitudinal factor analysis models. In addition, a special chapter covers metrics for comparing model performance.

English | ASIN: B0B5JC56M8 | 2022 | 10 hours and 3 minutes | MP3 | M4B | 276 MB
Enhance your personal performance by applying the four practices of high achievers to help you find your passion, develop your network of peers and mentors, and discover new opportunities to learn. What do astronauts, Olympic champions, and Nobel laureates do differently that allows them to achieve at such a high level? High achievers share the same four attributes: intrinsic motivation, perseverance, strong foundation, constantly learning through informal means. The key to their success is that they do all four of these things at the same time. Based on research and in-person interviews with astronauts, Nobel Prize winners, and Olympic champions, The Success Factor outlines the approach that individuals aspiring to improve their performance can adopt.

Bengtson H Pipe Flow-Friction Factor Calculations Excel 2010 | 3.98 MB
N/A | 31 Pages

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