From Science To Startup

Author: Anil Sethi
Publisher: Springer
ISBN: 3319304240
Size: 72.51 MB
Format: PDF, Mobi
View: 6418
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From Science To Startup from the Author: Anil Sethi. This book charts the experiences, pitfalls and knowledge behind leading scientific ideas to successful startups. Written by one of Switzerland's top serial entrepreneurs, this book is a must-read for scientists and academicians who want to see their idea turn into a product and change the market. It is also pertinent for finance and business professionals who aspire to become technology entrepreneurs. Starting with personal qualities of an entrepreneur, Anil Sethi discusses successful ideas, technology evaluation, team formation, patents and investor expectations. To guide the entrepreneur, this book also analyzes deal closing, equity conversion and ideal exit strategies to follow. Ultimately Anil Sethi reveals the 'inside track' which helps understand what drives entrepreneurs and what they wouldn't admit.

From Science To Startup

Author: Anil Sethi
Publisher: Springer
ISBN: 3319304240
Size: 79.34 MB
Format: PDF
View: 4445
Download Read Online

From Science To Startup from the Author: Anil Sethi. This book charts the experiences, pitfalls and knowledge behind leading scientific ideas to successful startups. Written by one of Switzerland's top serial entrepreneurs, this book is a must-read for scientists and academicians who want to see their idea turn into a product and change the market. It is also pertinent for finance and business professionals who aspire to become technology entrepreneurs. Starting with personal qualities of an entrepreneur, Anil Sethi discusses successful ideas, technology evaluation, team formation, patents and investor expectations. To guide the entrepreneur, this book also analyzes deal closing, equity conversion and ideal exit strategies to follow. Ultimately Anil Sethi reveals the 'inside track' which helps understand what drives entrepreneurs and what they wouldn't admit.

Start Up Nation

Author: Dan Senor
Publisher: Twelve
ISBN: 1455503460
Size: 36.38 MB
Format: PDF, ePub, Mobi
View: 5677
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Start Up Nation from the Author: Dan Senor. START-UP NATION addresses the trillion dollar question: How is it that Israel-- a country of 7.1 million, only 60 years old, surrounded by enemies, in a constant state of war since its founding, with no natural resources-- produces more start-up companies than large, peaceful, and stable nations like Japan, China, India, Korea, Canada and the UK? With the savvy of foreign policy insiders, Senor and Singer examine the lessons of the country's adversity-driven culture, which flattens hierarchy and elevates informality-- all backed up by government policies focused on innovation. In a world where economies as diverse as Ireland, Singapore and Dubai have tried to re-create the "Israel effect", there are entrepreneurial lessons well worth noting. As America reboots its own economy and can-do spirit, there's never been a better time to look at this remarkable and resilient nation for some impressive, surprising clues.

Start Up Creation

Author: Fernando Pacheco-Torgal
Publisher: Woodhead Publishing
ISBN: 0081005490
Size: 41.53 MB
Format: PDF, ePub, Mobi
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Start Up Creation from the Author: Fernando Pacheco-Torgal. Start-Up Creation: The Smart Eco-efficient Built Environment provides a state-of-the-art review on high-technology applications and explains how these can be applied to improve the eco-efficiency of the built environment. Divided into four main parts, the book explains the key factors behind successful startup companies that grow from university research, including the development of a business plan, the importance of intellectual property, necessary entrepreneurial skills, and innovative thinking. Part Two presents the latest research findings on nano and bio-based technologies and their application and use to the energy efficiency of the built environment. Part Three focuses on the use of genetic algorithms, Big Data, and the Internet of Things applications. Finally, the book ends with an entire section dedicated to App development using selected case studies that illustrate their application and use for monitoring building energy-efficiency. Presents a definitive guide for startups that arise from college and university research, and how the application of advanced technologies can be applied to the built environment Includes case studies on new advanced technologies and apps development Links startup creation to the eco-efficient built environment through software applications

Facing Up

Author: Steven Weinberg
Publisher: Harvard University Press
ISBN: 0674066405
Size: 43.66 MB
Format: PDF, Mobi
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Facing Up from the Author: Steven Weinberg. Each of these essays struggles in one way or another with the necessity of facing up to the discovery that the laws of nature are impersonal, with no hint of a special status for human beings. Defending the spirit of science against its cultural adversaries, these essays express a viewpoint that is reductionist, realist, and devoutly secular. Together, they afford the general reader the unique pleasure of experiencing the superb sense, understanding, and knowledge of one of the most interesting and forceful scientific minds of our era.ease fill in marketing copy

What Is Sculpture

Author: Louise Spilsbury
Publisher: Black Rabbit Books
ISBN: 9781842345252
Size: 44.25 MB
Format: PDF, ePub
View: 738
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What Is Sculpture from the Author: Louise Spilsbury. "Describes forms of sculpture, the textures of materials used, and provides project ideas, including wire sculpture and junk art"--Provided by publisher.

Data Science Solutions

Author: Manav Sehgal
Publisher:
ISBN: 9781520545318
Size: 56.61 MB
Format: PDF, Mobi
View: 3049
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Data Science Solutions from the Author: Manav Sehgal. The field of data science, big data, machine learning, and artificial intelligence is exciting and complex at the same time. Data science is also rapidly growing with new tools, technologies, algorithms, datasets, and use cases. For a beginner in this field, the learning curve can be fairly daunting. This is where this book helps. The data science solutions book provides a repeatable, robust, and reliable framework to apply the right-fit workflows, strategies, tools, APIs, and domain for your data science projects. This book takes a solutions focused approach to data science. Each chapter meets an end-to-end objective of solving for data science workflow or technology requirements. At the end of each chapter you either complete a data science tools pipeline or write a fully functional coding project meeting your data science workflow requirements. SEVEN STAGES OF DATA SCIENCE SOLUTIONS WORKFLOW Every chapter in this book will go through one or more of these seven stages of data science solutions workflow. STAGE 1: Question. Problem. Solution. Before starting a data science project we must ask relevant questions specific to our project domain and datasets. We may answer or solve these during the course of our project. Think of these questions-solutions as the key requirements for our data science project. Here are some templates that can be used to frame questions for our data science projects. Can we classify an entity based on given features if our data science model is trained on certain number of samples with similar features related to specific classes?Do the samples, in a given dataset, cluster in specific classes based on similar or correlated features?Can our machine learning model recognise and classify new inputs based on prior training on a sample of similar inputs?STAGE 2: Acquire. Search. Create. Catalog.This stage involves data acquisition strategies including searching for datasets on popular data sources or internally within your organisation. We may also create a dataset based on external or internal data sources. The acquire stage may feedback to the question stage, refining our problem and solution definition based on the constraints and characteristics of the acquired datasets. STAGE 3: Wrangle. Prepare. Cleanse.The data wrangle phase prepares and cleanses our datasets for our project goals. This workflow stage starts by importing a dataset, exploring the dataset for its features and available samples, preparing the dataset using appropriate data types and data structures, and optionally cleansing the data set for creating model training and solution testing samples. The wrangle stage may circle back to the acquire stage to identify complementary datasets to combine and complete the existing dataset. STAGE 4: Analyse. Patterns. Explore.The analyse phase explores the given datasets to determine patterns, correlations, classification, and nature of the dataset. This helps determine choice of model algorithms and strategies that may work best on the dataset. The analyse stage may also visualize the dataset to determine such patterns. STAGE 5: Model. Predict. Solve.The model stage uses prediction and solution algorithms to train on a given dataset and apply this training to solve for a given problem. STAGE 6: Visualize. Report. Present.The visualization stage can help data wrangling, analysis, and modeling stages. Data can be visualized using charts and plots suiting the characteristics of the dataset and the desired results.Visualization stage may also provide the inputs for the supply stage.STAGE 7: Supply. Products. Services.Once we are ready to monetize our data science solution or derive further return on investment from our projects, we need to think about distribution and data supply chain. This stage circles back to the acquisition stage. In fact we are acquiring data from someone else's data supply chain.