Download or read book Unlock Your Data Superpowers Master Data Science ML with ChatGPT written by Fredric Cardin and published by DigitalSphere Creations. This book was released on with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to transform data into actionable insights? This comprehensive ebook equips you with the fundamentals of Data Science and Machine Learning, along with the game-changing power of ChatGPT. Inside, you'll discover: Core principles of Data Science and Machine Learning - the foundation for building powerful models. How to leverage ChatGPT's capabilities to streamline tasks and unlock new possibilities. Mastering Matplotlib and Seaborn - essential Python libraries for creating clear and impactful data visualizations. Building 3 complete Data Science and Machine Learning projects - get hands-on experience applying your newfound knowledge efficiently, guided by ChatGPT. This ebook is your roadmap to becoming a data pro, empowering you to: Make data-driven decisions with confidence Extract valuable insights from complex datasets Craft compelling data visualizations to communicate your findings Gain a competitive edge in the job market Don't wait - unlock your data superpowers today!
Download or read book From Zero to Data Hero written by Andrew Wu and published by . This book was released on 2023-11-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you're kickstarting your journey or deepening your expertise, this book unveils the power of ChatGPT's advanced tools for data analysis, visualization, machine learning, and even the nuances of deep learning.
Download or read book The Expertise Economy written by Kelly Palmer and published by Nicholas Brealey. This book was released on 2018-09-18 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: As seen in Fast Company, Inc., Entrepreneur, Quartz at Work, Big Think, Chief Learning Officer, Chief Executive Officer, and featured in the Financial Times, and Forbes Recommended Reading for Creative Leaders. The workplace is going through a large-scale transition with digitization, automation, and acceleration. Critical skills and expertise are imperative for companies and their employees to succeed in the future, and the most forward-thinking companies are being proactive in adapting to the shift in the workforce. Kelly Palmer, Silicon Valley thought-leader from LinkedIn, Degreed, and Yahoo, and David Blake, co-founder of Ed-tech pioneer Degreed, share their experiences and describe how some of the smartest companies in the world are making learning and expertise a major competitive advantage. The authors provide the latest scientific research on how people really learn and concrete examples from companies in both Silicon Valley and worldwide who are driving the conversation about how to create experts and align learning innovation with business strategy. It includes interviews with people from top companies like Google, LinkedIn, Airbnb, Unilever, NASA, and MasterCard; thought leaders in learning and education like Sal Khan and Todd Rose; as well as Thinkers50 list-makers Clayton Christensen, Daniel Pink, and Whitney Johnson. The Expertise Economy dares you to let go of outdated and traditional ways of closing the skills gap, and challenges CEOs and business leaders to embrace the urgency of re-skilling and upskilling the workforce.
Download or read book What Is Data Science written by Mike Loukides and published by "O'Reilly Media, Inc.". This book was released on 2011-04-10 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.
Download or read book Soft Machines written by Richard Anthony Lewis Jones and published by Oxford University Press. This book was released on 2004 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enthusiasts look forward to a time when tiny machines reassemble matter and process information but is their vision realistic? 'Soft Machines' explains why the nanoworld is so different to the macro-world that we are all familar with and shows how it has more in common with biology than conventional engineering.
Download or read book Marketing Artificial Intelligence written by Paul Roetzer and published by BenBella Books. This book was released on 2022-06-28 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for.
Download or read book Applications of Machine Learning written by Prashant Johri and published by Springer Nature. This book was released on 2020-05-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Download or read book Finish What You Start written by Peter Hollins and published by PublishDrive. This book was released on 2019-08-13 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical tactics to grow your willpower, stop procrastination, focus like a laser, and achieve whatever you set your mind to. Following through and finishing what you start- more valuable skills than you realize. They are a combination of traits that enables you to create the life you want - without having to compromise or wait. The alternative is a status quo that you’re stuck in. Is your life a series of unfinished tasks and intentions? That stops now. Finish What You Start is a unique deep dive into the psychology and science of accomplishment, productivity, and getting things done. It takes a thorough look why we are sometimes stuck, and gives detailed, step by step solutions you can start using today. Every phase of finishing and following through is covered, and even productivity pros will be able to learn something new. Above all else, this is a guide to understanding your brain and instincts better for optimal results. Channel massive productivity and mental toughness. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with dozens of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Resist distractions, de-motivation, temptations, laziness, and excuses. •The surprising motivations that push us past obstacles. •How daily rules and a manifesto can help you achieve. •Valuable and insightful mindsets to view productivity from entirely new lights. Seize self-control and finally accomplish your big and small goals. •The science and tactics to beating procrastination easily. •Focus and willpower pitfalls you are probably committing at this very moment. •How to beat distractions, remain focused, stay on task, and get to what matters - consistently. Transform your life through productive habits and avoiding mental traps.
Download or read book Connectome written by Sebastian Seung and published by HMH. This book was released on 2012-02-07 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Accessible, witty . . . an important new researcher, philosopher and popularizer of brain science . . . on par with cosmology’s Brian Greene and the late Carl Sagan” (The Plain Dealer). One of the Wall Street Journal’s 10 Best Nonfiction Books of the Year and a Publishers Weekly “Top Ten in Science” Title Every person is unique, but science has struggled to pinpoint where, precisely, that uniqueness resides. Our genome may determine our eye color and even aspects of our character. But our friendships, failures, and passions also shape who we are. The question is: How? Sebastian Seung is at the forefront of a revolution in neuroscience. He believes that our identity lies not in our genes, but in the connections between our brain cells—our particular wiring. Seung and a dedicated group of researchers are leading the effort to map these connections, neuron by neuron, synapse by synapse. It’s a monumental effort, but if they succeed, they will uncover the basis of personality, identity, intelligence, memory, and perhaps disorders such as autism and schizophrenia. Connectome is a mind-bending adventure story offering a daring scientific and technological vision for understanding what makes us who we are, as individuals and as a species. “This is complicated stuff, and it is a testament to Dr. Seung’s remarkable clarity of exposition that the reader is swept along with his enthusiasm, as he moves from the basics of neuroscience out to the farthest regions of the hypothetical, sketching out a spectacularly illustrated giant map of the universe of man.” —TheNew York Times “An elegant primer on what’s known about how the brain is organized and how it grows, wires its neurons, perceives its environment, modifies or repairs itself, and stores information. Seung is a clear, lively writer who chooses vivid examples.” —TheWashington Post
Download or read book Rise of the Robots written by Martin Ford and published by Basic Books. This book was released on 2015-05-05 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The New York Times-bestselling guide to how automation is changing the economy, undermining work, and reshaping our lives Winner of Best Business Book of the Year awards from the Financial Times and from Forbes "Lucid, comprehensive, and unafraid . . . ;an indispensable contribution to a long-running argument." -- Los Angeles Times What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making "good jobs" obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart software. As progress continues, blue and white collar jobs alike will evaporate, squeezing working -- and middle-class families ever further. At the same time, households are under assault from exploding costs, especially from the two major industries-education and health care-that, so far, have not been transformed by information technology. The result could well be massive unemployment and inequality as well as the implosion of the consumer economy itself. The past solutions to technological disruption, especially more training and education, aren't going to work. We must decide, now, whether the future will see broad-based prosperity or catastrophic levels of inequality and economic insecurity. Rise of the Robots is essential reading to understand what accelerating technology means for our economic prospects-not to mention those of our children-as well as for society as a whole.
Download or read book Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2012-08-24 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Download or read book Building Intelligent Systems written by Geoff Hulten and published by Apress. This book was released on 2018-03-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems
Download or read book Efficient R Programming written by Colin Gillespie and published by "O'Reilly Media, Inc.". This book was released on 2016-12-08 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming. Get advice for setting up an R programming environment Explore general programming concepts and R coding techniques Understand the ingredients of an efficient R workflow Learn how to efficiently read and write data in R Dive into data carpentry—the vital skill for cleaning raw data Optimize your code with profiling, standard tricks, and other methods Determine your hardware capabilities for handling R computation Maximize the benefits of collaborative R programming Accelerate your transition from R hacker to R programmer
Download or read book Machine Learning Bookcamp written by Alexey Grigorev and published by Simon and Schuster. This book was released on 2021-11-23 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. Summary In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! About the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! What's inside Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Deploy ML models to a production-ready environment About the reader Python programming skills assumed. No previous machine learning knowledge is required. About the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. Table of Contents 1 Introduction to machine learning 2 Machine learning for regression 3 Machine learning for classification 4 Evaluation metrics for classification 5 Deploying machine learning models 6 Decision trees and ensemble learning 7 Neural networks and deep learning 8 Serverless deep learning 9 Serving models with Kubernetes and Kubeflow
Download or read book Root Causes of Terrorism written by Tore Bjørgo and published by Routledge. This book was released on 2005-06-30 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This team of international experts analyses the possibilities and limitations of preventing or reducing terrorism by addressing the factors that give rise to it and sustain it. The key questions raised include:* what are the main circumstances that provide preconditions for the emergence of various types of terrorism?* what are the typical precipit
Download or read book Diffusion and Adoption of Information Technology written by Karlheinz Kautz and published by Springer. This book was released on 2013-06-05 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: It. is well known that t.he introduction of a new technology in one organization not always produces the intended benefits (Levine, 1994). In many cases, either the receivers do not reach the intended level of use or simply the technology is rejected because it does not match with the expectations (true or false) and the accepted psychological effort to use it. The case of formal methods is a paradigmatic example of continual failures. The published cases with problems or failures only constitute the visible part of a large iceberg of adoption cases. It. is difficult to get companies to openly express the problems they had; however, from the experience of the author, failure cases are very common and they include any type of company. Many reasons to explain the failures (and in some cases the successes) could be postulated; however, the experiences are not structured enough and it is difficult to extract from them useful guidelines for avoiding future problems. Generally speaking, there is a trend to find the root of the problems in the technol ogy itself and in its adequacy with the preexistent technological context. Technocratic technology transfer models describe the problems in terms of these aspects. Although it is true that those factors limit the probability of success, there is another source of explanations linked to the individuals and working teams and how they perceive the technology.
