Author: Anil Sethi
Publisher: Springer
ISBN: 3319304240
Category : Business & Economics
Languages : en
Pages : 249
Book Description
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
Category : Business & Economics
Languages : en
Pages : 249
Book Description
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.
Publisher: Springer
ISBN: 3319304240
Category : Business & Economics
Languages : en
Pages : 249
Book Description
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.
How to F*ck Up Your Startup
Author: Kim Hvidkjaer
Publisher: BenBella Books
ISBN: 1637740603
Category : Business & Economics
Languages : en
Pages : 240
Book Description
WALL STREET JOURNAL BESTSELLER Every business owner dreams of success, but the majority of businesses are doomed to fail. This book offers a journey through the pitfalls that cause 90% of companies to crash—and the crucial remedies entrepreneurs can use to avoid (or fix) them. Kim Hvidkjær was 29 years old when he became a millionaire. Two years later, after a cluster of disasters, he found himself basically broke. Now, having rebuilt his fortune as the founder of several successful enterprises and studied thousands of failed startups, Hvidkjær has become an expert in failure: what it means, what it looks like, and the strategies that business owners can use to prevent it. In How to F*ck Up Your Startup, he takes us on an entertaining and enlightening journey through the complex patterns of failure in the life cycle of a business, covering: Attitude mistakes Business model missteps Market research snafus Funding and financial blunders Product development errors Organization oversights Sales slip-ups Growing pains Most important, he tackles what to do when your business has gone wrong. Hvidkjær fleshes out a tangible, usable blueprint for entrepreneurs looking to learn (the easy way) from the mistakes of businesses gone before. Chock-full of easy-to-follow business lessons that will keep you from f*cking up your startup, this down-to-earth guide offers crucial, actionable advice for seasoned business owners and startup founders alike. A masterclass in failure, How to F*ck Up Your Startup is required reading for reaching success.
Publisher: BenBella Books
ISBN: 1637740603
Category : Business & Economics
Languages : en
Pages : 240
Book Description
WALL STREET JOURNAL BESTSELLER Every business owner dreams of success, but the majority of businesses are doomed to fail. This book offers a journey through the pitfalls that cause 90% of companies to crash—and the crucial remedies entrepreneurs can use to avoid (or fix) them. Kim Hvidkjær was 29 years old when he became a millionaire. Two years later, after a cluster of disasters, he found himself basically broke. Now, having rebuilt his fortune as the founder of several successful enterprises and studied thousands of failed startups, Hvidkjær has become an expert in failure: what it means, what it looks like, and the strategies that business owners can use to prevent it. In How to F*ck Up Your Startup, he takes us on an entertaining and enlightening journey through the complex patterns of failure in the life cycle of a business, covering: Attitude mistakes Business model missteps Market research snafus Funding and financial blunders Product development errors Organization oversights Sales slip-ups Growing pains Most important, he tackles what to do when your business has gone wrong. Hvidkjær fleshes out a tangible, usable blueprint for entrepreneurs looking to learn (the easy way) from the mistakes of businesses gone before. Chock-full of easy-to-follow business lessons that will keep you from f*cking up your startup, this down-to-earth guide offers crucial, actionable advice for seasoned business owners and startup founders alike. A masterclass in failure, How to F*ck Up Your Startup is required reading for reaching success.
A Head Start on Science
Author: William C. Ritz
Publisher: NSTA Press
ISBN: 1933531673
Category : Science
Languages : en
Pages : 385
Book Description
For the littlest scientists, the whole wide world can be a laboratory for learning. Nurture their natural curiosity with A Head Start on Science, a treasury of 89 hands-on science activities specifically for children ages 3 to 6. The activities are grouped into seven stimulating topic areas: the five senses, weather, physical science, critters, water and water mixture, seeds, and nature walks.
Publisher: NSTA Press
ISBN: 1933531673
Category : Science
Languages : en
Pages : 385
Book Description
For the littlest scientists, the whole wide world can be a laboratory for learning. Nurture their natural curiosity with A Head Start on Science, a treasury of 89 hands-on science activities specifically for children ages 3 to 6. The activities are grouped into seven stimulating topic areas: the five senses, weather, physical science, critters, water and water mixture, seeds, and nature walks.
Start Up Science
Author: Godfrey Hall
Publisher:
ISBN: 9789810106607
Category : Science
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9789810106607
Category : Science
Languages : en
Pages :
Book Description
Data Science Solutions
Author: Manav Sehgal
Publisher:
ISBN: 9781520545318
Category :
Languages : en
Pages : 281
Book Description
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.
Publisher:
ISBN: 9781520545318
Category :
Languages : en
Pages : 281
Book Description
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.
The Lean Startup
Author: Eric Ries
Publisher: Crown Currency
ISBN: 0307887898
Category : Business & Economics
Languages : en
Pages : 337
Book Description
Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched. Eric Ries defines a startup as an organization dedicated to creating something new under conditions of extreme uncertainty. This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business. The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively. Inspired by lessons from lean manufacturing, it relies on “validated learning,” rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product development cycles, measure actual progress without resorting to vanity metrics, and learn what customers really want. It enables a company to shift directions with agility, altering plans inch by inch, minute by minute. Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs—in companies of all sizes—a way to test their vision continuously, to adapt and adjust before it’s too late. Ries provides a scientific approach to creating and managing successful startups in a age when companies need to innovate more than ever.
Publisher: Crown Currency
ISBN: 0307887898
Category : Business & Economics
Languages : en
Pages : 337
Book Description
Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched. Eric Ries defines a startup as an organization dedicated to creating something new under conditions of extreme uncertainty. This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business. The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively. Inspired by lessons from lean manufacturing, it relies on “validated learning,” rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product development cycles, measure actual progress without resorting to vanity metrics, and learn what customers really want. It enables a company to shift directions with agility, altering plans inch by inch, minute by minute. Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs—in companies of all sizes—a way to test their vision continuously, to adapt and adjust before it’s too late. Ries provides a scientific approach to creating and managing successful startups in a age when companies need to innovate more than ever.
Start-up Nation
Author: Dan Senor
Publisher: Twelve
ISBN: 1455503460
Category : Business & Economics
Languages : en
Pages : 213
Book Description
What the world can learn from Israel's meteoric economic success. 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.
Publisher: Twelve
ISBN: 1455503460
Category : Business & Economics
Languages : en
Pages : 213
Book Description
What the world can learn from Israel's meteoric economic success. 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.
Future Minds
Author: Richard Yonck
Publisher: Simon and Schuster
ISBN: 1948924404
Category : Computers
Languages : en
Pages : 437
Book Description
For readers of Michio Kaku and Stephen Hawking, the book readers have acclaimed as "A mega-comprehensive outlook at intelligence as convincing as it is surprising" and "A truly breathtaking forecast on the future of intelligence." With the ongoing advancement of AI and other technologies, our world is becoming increasingly intelligent. From chatbots to innovations in brain-computer interfaces to the possibility of superintelligences leading to the Singularity later this century, our reality is being transformed before our eyes. This is commonly seen as the natural result of progress, but what if there’s more to it than that? What if intelligence is an inevitability, an underlying property of the universe? In Future Minds, Richard Yonck challenges our assumptions about intelligence—what it is, how it came to exist, its place in the development of life on Earth and possibly throughout the cosmos. Taking a Big History perspective—over the 14 billion years from the Big Bang to the present and beyond—he draws on recent developments in physics and complexity theory to explore the questions: Why do pockets of increased complexity develop, giving rise to life, intelligence, and civilization? How will it grow and change throughout this century, transforming both technology and humanity? As we expand outward from our planet, will we discover other forms of intelligence, or will we conclude we are destined to go it alone? Any way we look at it, the nature of intelligence in the universe is becoming a central concern for humanity. Ours. Theirs. And everything in between.
Publisher: Simon and Schuster
ISBN: 1948924404
Category : Computers
Languages : en
Pages : 437
Book Description
For readers of Michio Kaku and Stephen Hawking, the book readers have acclaimed as "A mega-comprehensive outlook at intelligence as convincing as it is surprising" and "A truly breathtaking forecast on the future of intelligence." With the ongoing advancement of AI and other technologies, our world is becoming increasingly intelligent. From chatbots to innovations in brain-computer interfaces to the possibility of superintelligences leading to the Singularity later this century, our reality is being transformed before our eyes. This is commonly seen as the natural result of progress, but what if there’s more to it than that? What if intelligence is an inevitability, an underlying property of the universe? In Future Minds, Richard Yonck challenges our assumptions about intelligence—what it is, how it came to exist, its place in the development of life on Earth and possibly throughout the cosmos. Taking a Big History perspective—over the 14 billion years from the Big Bang to the present and beyond—he draws on recent developments in physics and complexity theory to explore the questions: Why do pockets of increased complexity develop, giving rise to life, intelligence, and civilization? How will it grow and change throughout this century, transforming both technology and humanity? As we expand outward from our planet, will we discover other forms of intelligence, or will we conclude we are destined to go it alone? Any way we look at it, the nature of intelligence in the universe is becoming a central concern for humanity. Ours. Theirs. And everything in between.
Startup CEO
Author: Matt Blumberg
Publisher: John Wiley & Sons
ISBN: 1119723663
Category : Business & Economics
Languages : en
Pages : 486
Book Description
You’re only a startup CEO once. Do it well with Startup CEO, a "master class in building a business." —Dick Costolo, Former CEO, Twitter Being a startup CEO is a job like no other: it’s difficult, risky, stressful, lonely, and often learned through trial and error. As a startup CEO seeing things for the first time, you’re likely to make mistakes, fail, get things wrong, and feel like you don’t have any control over outcomes. Author Matt Blumberg has been there, and in Startup CEO he shares his experience, mistakes, and lessons learned as he guided Return Path from a handful of employees and no revenues to over $100 million in revenues and 500 employees. Startup CEO is not a memoir of Return Path's 20-year journey but a thoughtful CEO-focused book that provides first-time CEOs with advice, tools, and approaches for the situations that startup CEOs will face. You'll learn: How to tell your story to new hires, investors, and customers for greater alignment How to create a values-based culture for speed and engagement How to create business and personal operating systems so that you can balance your life and grow your company at the same time How to develop, lead, and leverage your board of directors for greater impact How to ensure that your company is bought, not sold, when you exit Startup CEO is the field guide every CEO needs throughout the growth of their company.
Publisher: John Wiley & Sons
ISBN: 1119723663
Category : Business & Economics
Languages : en
Pages : 486
Book Description
You’re only a startup CEO once. Do it well with Startup CEO, a "master class in building a business." —Dick Costolo, Former CEO, Twitter Being a startup CEO is a job like no other: it’s difficult, risky, stressful, lonely, and often learned through trial and error. As a startup CEO seeing things for the first time, you’re likely to make mistakes, fail, get things wrong, and feel like you don’t have any control over outcomes. Author Matt Blumberg has been there, and in Startup CEO he shares his experience, mistakes, and lessons learned as he guided Return Path from a handful of employees and no revenues to over $100 million in revenues and 500 employees. Startup CEO is not a memoir of Return Path's 20-year journey but a thoughtful CEO-focused book that provides first-time CEOs with advice, tools, and approaches for the situations that startup CEOs will face. You'll learn: How to tell your story to new hires, investors, and customers for greater alignment How to create a values-based culture for speed and engagement How to create business and personal operating systems so that you can balance your life and grow your company at the same time How to develop, lead, and leverage your board of directors for greater impact How to ensure that your company is bought, not sold, when you exit Startup CEO is the field guide every CEO needs throughout the growth of their company.
Oscar and the Bird
Author: Geoff Waring
Publisher: National Geographic Books
ISBN: 0763653020
Category : Juvenile Nonfiction
Languages : en
Pages : 0
Book Description
Start with Science books introduce kids to core science concepts through engaging stories, fresh illustrations, and supplemental activities. When Oscar the kitten finds a tractor in a field and accidentally turns on the windshield wipers, he is full of questions about electricity. Luckily, Bird knows the answers! With the help of his friend, Oscar finds out how electricity is made and stored, which machines need electricity to work, and why we always need to be careful around wires, batteries, plugs, and sockets. Back matter includes an index and supplemental activities.
Publisher: National Geographic Books
ISBN: 0763653020
Category : Juvenile Nonfiction
Languages : en
Pages : 0
Book Description
Start with Science books introduce kids to core science concepts through engaging stories, fresh illustrations, and supplemental activities. When Oscar the kitten finds a tractor in a field and accidentally turns on the windshield wipers, he is full of questions about electricity. Luckily, Bird knows the answers! With the help of his friend, Oscar finds out how electricity is made and stored, which machines need electricity to work, and why we always need to be careful around wires, batteries, plugs, and sockets. Back matter includes an index and supplemental activities.