“…You should understand basic statistics, but no prior knowledge of data mining or SAS Enterprise Miner is required. …”

“…However, in order to efficiently apply this rather new technique to solve difficult problems in chemistry and biotechnology, one should have a sound in-depth understanding of what kind information this new mathematical tool could really provide and what its statistic property is. This book aims at giving a deeper and more thorough description of the mechanism of SVMs from the point of view of chemists/biologists and hence to make it easy for chemists and biologists to understand"--…”

“…What you will learn Avoid organizational and technological pitfalls of moving from a defined project to a production environment Enable team members to focus on higher-value work and tasks Build Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organization Outsource certain projects to competent and capable third parties Support the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analytics Analyze the operational area, the processes, the data, a..…”

“…Some background in statistics, probability, calculus, linear algebra, and programming will help you thoroughly understand and follow the concepts covered in this book…”

“…You will: See essential details about the Armv8-A 32-bit and 64-bit architectures including data types, general purpose registers, floating-point and SIMD registers, and addressing modes Use the Armv8-A 32-bit and 64-bit instruction sets to create performance-enhancing functions that are callable from C++ Employ Armv8-A assembly language to efficiently manipulate common data types and programming constructs including integers, arrays, matrices, and user-defined structures Create assembly language functions that perform scalar floating-point arithmetic using the Armv8-A 32-bit and 64-bit instruction sets Harness the Armv8-A SIMD instruction sets to significantly accelerate the performance of computationally intense algorithms in applications such as machine learning, image processing, computer graphics, mathematics, and statistics. Apply leading-edge coding strategies and techniques to optimally exploit the Armv8-A 32-bit and 64-bit instruction sets for maximum possible performance …”

“…An understanding of Python code and basic knowledge of statistics is required to make the most out of this book." -- Publisher's description…”

“…Most of the activity related to change management focuses on successfully implementing individual projects. Statistics indicate that this is not enough to keep up with today’s rapid changing innovative competition. …”

“…Learn how to Ensure that your entire team shares a solid understanding of customer needs Define measurable critical parameters that reflect customer requirements Thoroughly assess business case risk and opportunity in the context of product roadmaps and portfolios Prioritize development decisions and scheduling in the face of resource constraints Flow critical parameters down to quantifiable, verifiable requirements for every sub-process, subsystem, and component Use predictive engineering and advanced optimization to build products that robustly handle variations in manufacturing and usage Verify system capabilities and reliability based on pilots or early production samples Master new statistical techniques for ensuring that supply chains deliver on time, with minimal inventory Choose the right DFSS tools, using the authors’ step-by-step flowchart If you’re an engineer involved in developing any new technology solution, this book will help you reflect the real Voice of the Customer, achieve better results faster, and eliminate fingerpointing. …”

“…Because we are all already data users, with some simple strategies and exposure to basic statistical analysis software programs, anyone who has the proper tools and determination can solve data science problems. …”

“…Master x86 SIMD arithmetic and data operations using both integer and floating-point operands Harness the AVX, AVX2, and AVX-512 instruction sets to accelerate the performance of computationally-intense calculations in machine learning, image processing, signal processing, computer graphics, statistics, and matrix arithmetic applications Apply leading-edge coding strategies to optimally exploit the AVX, AVX2, and AVX-512 instruction sets for maximum possible performance…”

“…He has worked in data science education for nearly a decade, teaching machine learning and statistical analysis to hundreds of students in the United States and abroad. …”

“…This chapter also discusses statistical mechanics and contemporary cosmology, demonstrating that science continues to support Aquinas' unmoved mover argument. …”

Acceso restringido usuarios UPSA

“…It includes the following advanced functions: Policy management to control physical volume pooling Cache management Redundant copies, including across a grid network Copy mode control The IBM TS7700 Virtualization Engine offers enhanced statistical reporting. It also includes a standards-based Management Interface (MI) for IBM TS7700 management. …”

“…It also presents a new charting technique for evaluating very short-term trends lasting just a few minutes–a valuable technique for anyone who follows intraday markets. The statistical analysis and associated discussions around high-frequency trading are especially relevant in the modern financial world, which has come to be dominated by supercomputers and algorithmic trading. …”

“…The chapters use a variety of techniques, including classical operations research tools, such as optimization, queuing theory, and discrete event simulation, as well as statistics, epidemic models and decision-analytic models. …”

“…Robert has delivered training and coaching at Harvard and Villanova universities, to enterprises (including Lloyds of London, GlaxoSmithKline, Shell, Dell EMC, United Airlines, Bank of America, BNY Mellon, HP Madrid) and to governmental groups (US Dept. of Labor Statistics). This has led to a truly international body of work in many places and with many cultures; Macedonia, Poland, Spai..…”

“…What You Will Learn Master all features of the Jupyter Notebook Code better: write high-quality, readable, and well-tested programs; profile and optimize your code; and conduct reproducible interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy, ctypes, Numba, Cython, OpenMP, GPU programming (CUDA), parallel IPython, Dask, and more Analyze data with Bayesian or frequentist statistics (Pandas, PyMC, and R), and learn from actual data through machine learning (scikit-learn) Gain valuable insights into signals, images, and sounds with SciPy, scikit-image, and OpenCV Simulate deterministic and stochastic dynamical systems in Python Familiarize yourself with math in Python using SymPy and Sage: algebra, analysis, logic, graphs, geometry, and probability theory In Detail Python is one of the leading open source platforms for data science and numerical computing. …”

“…What You Will Learn Install Jupyter and configure engines for Python, R, Scala and more Access and retrieve data on Jupyter Notebooks Create interactive visualizations and dashboards for different scenarios Convert and share your dynamic codes using HTML, JavaScript, Docker, and more Create custom user data interactions using various Jupyter widgets Manage user authentication and file permissions Interact with Big Data to perform numerical computing and statistical modeling Get familiar with Jupyter's next-gen user interface - JupyterLab In Detail Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. …”