Master Obsidian Quickly Boost Your Learning Productivity With A Free Modern Powerful Knowledge Toolkit
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Master Obsidian Quickly
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Author : Jones Jeremy P. (author)
language : en
Publisher:
Release Date : 1901
Master Obsidian Quickly written by Jones Jeremy P. (author) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1901 with categories.
Master Obsidian Quickly Boost Your Learning Productivity With A Free Modern Powerful Knowledge Toolkit
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Author : Jeremy P. Jones
language : en
Publisher: Jeremy P. Jones
Release Date : 2021-02-21
Master Obsidian Quickly Boost Your Learning Productivity With A Free Modern Powerful Knowledge Toolkit written by Jeremy P. Jones and has been published by Jeremy P. Jones this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-21 with Computers categories.
Obsidian (at obsidian.md on the web) is a new, free app for helping you build a "second brain" - a place for your ideas to arrive, develop, and stay for the long haul. The Obsidian app is built on open standards that ensures that your second brain will always be your own. It works with familiar files and folders that stay local on your disk, ensuring privacy and longevity. Yes, it's free. This book provides an introduction to the Obsidian app and walks you through a handful of key concepts to help you master the software. And the book presents several techniques shared by the wonderful Obsidian user community that will help new and experienced users alike to master this powerful software.
Experts Guide To Obsidian
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Author : Jeremy P. Jones
language : en
Publisher: Jeremy P. Jones
Release Date : 2021-10-15
Experts Guide To Obsidian written by Jeremy P. Jones and has been published by Jeremy P. Jones this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-15 with Computers categories.
Obsidian is an innovative app for working with ideas, striving to serve as your second brain. That's an ambitious goal and Obsidian is an ambitious app, which has seen its popularity grow leaps and bounds over the past year. This book brings together tips from Expert Obsidian users who've tweaked and finessed their note-taking and sense-making process in Obsidian. In this book, you'll learn how to: * Learn for the long term by focusing on concepts rather than traditional notes; * Push your creative juices by discovering connections between concepts; * Manage a publishing workflow using a Kanban board, from capturing initial ideas to developing these through to completion; * Plan and organize your day in Obsidian, tracking your regular work and documenting your creative journey; * Work efficiently in Obsidian with shortcuts, templates and several plugins to boost your creative process. This book presents Experts' use of Obsidian. For a ground-up understanding of key concepts and techniques in Obsidian, pick up the related book "Master Obsidian Quickly - Boost Your Learning & Productivity with a Free, Modern, Powerful Knowledge Toolkit" by the same author.
Experts Guide To Ipad Note Taking With An Apple Pencil
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Author : Jeremy P. Jones
language : en
Publisher: Jeremy P. Jones
Release Date : 2022-04-15
Experts Guide To Ipad Note Taking With An Apple Pencil written by Jeremy P. Jones and has been published by Jeremy P. Jones this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-15 with Computers categories.
The Apple Pencil unlocks the full potential of the iPad as a digital note taking tool. This guide presents several techniques from experienced users who use the Apple Pencil extensively for note-taking on a range of subjects. In this book, you will learn: * How to write neatly with the Apple Pencil on the smooth iPad glass. * How to cleverly structure your hand-written notes on a page to make revision easier. * A handwriting-led and fun active learning technique to consistently work through your study materials. * How to construct big picture notes on an infinite canvas to make sense of details. * Tackle a PDF-heavy curriculum with annotation tools built into iPadOS, and additional features available in GoodNotes and Notability. * Trace images neatly for a precise yet hand-drawn look, spruced up with an easy shading technique to make a memorable diagram. * Engage "Scribble" with the Apple Pencil to handwrite everywhere, as an alternative to keyboard input, and thus work smoothly on the iPad while note-taking. Readers may also be interested in the book iPad for Students - Be More Productive at School by the same author. The book dives into the broader benefits of using an iPad for school and leveraging excellent apps to make studies more efficient.
Building A Second Brain
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Author : Tiago Forte
language : en
Publisher: Simon and Schuster
Release Date : 2022-06-14
Building A Second Brain written by Tiago Forte and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Business & Economics categories.
"Building a second brain is getting things done for the digital age. It's a ... productivity method for consuming, synthesizing, and remembering the vast amount of information we take in, allowing us to become more effective and creative and harness the unprecedented amount of technology we have at our disposal"--
Data Science For Marketing Analytics
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Author : Mirza Rahim Baig
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-09-07
Data Science For Marketing Analytics written by Mirza Rahim Baig and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-07 with Computers categories.
Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.
Python For Finance Cookbook
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Author : Eryk Lewinson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Python For Finance Cookbook written by Eryk Lewinson and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-31 with Computers categories.
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Hands On Time Series Analysis With R
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Author : Rami Krispin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-31
Hands On Time Series Analysis With R written by Rami Krispin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with Computers categories.
Build efficient forecasting models using traditional time series models and machine learning algorithms. Key FeaturesPerform time series analysis and forecasting using R packages such as Forecast and h2oDevelop models and find patterns to create visualizations using the TSstudio and plotly packagesMaster statistics and implement time-series methods using examples mentionedBook Description Time series analysis is the art of extracting meaningful insights from, and revealing patterns in, time series data using statistical and data visualization approaches. These insights and patterns can then be utilized to explore past events and forecast future values in the series. This book explores the basics of time series analysis with R and lays the foundations you need to build forecasting models. You will learn how to preprocess raw time series data and clean and manipulate data with packages such as stats, lubridate, xts, and zoo. You will analyze data and extract meaningful information from it using both descriptive statistics and rich data visualization tools in R such as the TSstudio, plotly, and ggplot2 packages. The later section of the book delves into traditional forecasting models such as time series linear regression, exponential smoothing (Holt, Holt-Winter, and more) and Auto-Regressive Integrated Moving Average (ARIMA) models with the stats and forecast packages. You'll also cover advanced time series regression models with machine learning algorithms such as Random Forest and Gradient Boosting Machine using the h2o package. By the end of this book, you will have the skills needed to explore your data, identify patterns, and build a forecasting model using various traditional and machine learning methods. What you will learnVisualize time series data and derive better insightsExplore auto-correlation and master statistical techniquesUse time series analysis tools from the stats, TSstudio, and forecast packagesExplore and identify seasonal and correlation patternsWork with different time series formats in RExplore time series models such as ARIMA, Holt-Winters, and moreEvaluate high-performance forecasting solutionsWho this book is for Hands-On Time Series Analysis with R is ideal for data analysts, data scientists, and all R developers who are looking to perform time series analysis to predict outcomes effectively. A basic knowledge of statistics is required; some knowledge in R is expected, but not mandatory.
A Farewell To Alms
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Author : Gregory Clark
language : en
Publisher: Princeton University Press
Release Date : 2008-12-29
A Farewell To Alms written by Gregory Clark and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-29 with Business & Economics categories.
Why are some parts of the world so rich and others so poor? Why did the Industrial Revolution--and the unprecedented economic growth that came with it--occur in eighteenth-century England, and not at some other time, or in some other place? Why didn't industrialization make the whole world rich--and why did it make large parts of the world even poorer? In A Farewell to Alms, Gregory Clark tackles these profound questions and suggests a new and provocative way in which culture--not exploitation, geography, or resources--explains the wealth, and the poverty, of nations. Countering the prevailing theory that the Industrial Revolution was sparked by the sudden development of stable political, legal, and economic institutions in seventeenth-century Europe, Clark shows that such institutions existed long before industrialization. He argues instead that these institutions gradually led to deep cultural changes by encouraging people to abandon hunter-gatherer instincts-violence, impatience, and economy of effort-and adopt economic habits-hard work, rationality, and education. The problem, Clark says, is that only societies that have long histories of settlement and security seem to develop the cultural characteristics and effective workforces that enable economic growth. For the many societies that have not enjoyed long periods of stability, industrialization has not been a blessing. Clark also dissects the notion, championed by Jared Diamond in Guns, Germs, and Steel, that natural endowments such as geography account for differences in the wealth of nations. A brilliant and sobering challenge to the idea that poor societies can be economically developed through outside intervention, A Farewell to Alms may change the way global economic history is understood.
How To Design Programs Second Edition
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Author : Matthias Felleisen
language : en
Publisher: MIT Press
Release Date : 2018-05-25
How To Design Programs Second Edition written by Matthias Felleisen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-25 with Computers categories.
A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming.