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Author: Sunil Kumar Saini
Publisher: Sunil Kumar Saini
ISBN:
Category : Antiques & Collectibles
Languages : en
Pages : 41
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Book Description
The field of AI is rapidly expanding, and with it, so are the job opportunities. However, many people are still uncertain about what exactly an AI job entails and how to navigate this ever-evolving industry. "AI Jobs Demystified" is a comprehensive guide that aims to clear up the confusion and provide a roadmap for those interested in pursuing a career in AI. From data scientists to machine learning engineers, this guide explores various roles within the AI industry, their respective responsibilities, and the skills required for success. It also delves into the current and future state of the industry, including emerging technologies and trends, and how they will impact job opportunities. Whether you're a recent graduate, a mid-career professional looking to make a change, or simply curious about the field, "AI Jobs Demystified" is your ultimate resource for understanding the lucrative world of AI careers. With this guide, you'll be equipped with the knowledge and insights needed to thrive in this exciting and ever-changing field.
Author: Sunil Kumar Saini
Publisher: Sunil Kumar Saini
ISBN:
Category : Antiques & Collectibles
Languages : en
Pages : 41
Get Book Here
Book Description
The field of AI is rapidly expanding, and with it, so are the job opportunities. However, many people are still uncertain about what exactly an AI job entails and how to navigate this ever-evolving industry. "AI Jobs Demystified" is a comprehensive guide that aims to clear up the confusion and provide a roadmap for those interested in pursuing a career in AI. From data scientists to machine learning engineers, this guide explores various roles within the AI industry, their respective responsibilities, and the skills required for success. It also delves into the current and future state of the industry, including emerging technologies and trends, and how they will impact job opportunities. Whether you're a recent graduate, a mid-career professional looking to make a change, or simply curious about the field, "AI Jobs Demystified" is your ultimate resource for understanding the lucrative world of AI careers. With this guide, you'll be equipped with the knowledge and insights needed to thrive in this exciting and ever-changing field.
Author: Amit Saha
Publisher: No Starch Press
ISBN: 1593277199
Category : Computers
Languages : en
Pages : 265
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Book Description
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things. Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to: –Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots –Explore set theory and probability with programs for coin flips, dicing, and other games of chance –Solve algebra problems using Python’s symbolic math functions –Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set –Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 "darts" at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math. Uses Python 3
Author: Orville Pierson
Publisher: McGraw Hill Professional
ISBN: 0071762442
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
The Proven Program Used by 600,000 Job Hunters! You put hours and hours of hard work into your job search and the companies you've contacted never call. It's a story all too common in the fast-paced, highly competitive world of job hunting. Nothing is more discouraging than sending one resumé after another into the job-hunting void. Eventually, you expect silence from the other end. The Unwritten Rules of the Highly Effective Job Search was written so this never happens to you again. These techniques, developed by author Orville Pierson, have been used successfully for ten years by Lee Hecht Harrison (LHH), the world's premier career services company. Here, Pierson provides you with the job-search techniques that up to now have been limited to the LHH consultants he trains. Orville Pierson has helped thousands of job hunters during his career, taking note of the characteristics that have led to success as well as failure. In The Unwritten Rules of the Highly Effective Job Search, he supplies key information on how professional job search consultants structure the job search project so you can apply the same winning strategies to your own search. You'll also be privy to inside information on how decision makers operate, enabling you to get the inside track on job openings before they are announced. This insider's guide covers every phase of the job search, leading you step by step through the process of creating a clear-cut plan-essential to every job search. Using the Pierson Method, you'll learn how to Develop a Target List (the key ingredient to every job search) Measure your progress Create a “core message” about yourself that decision makers won't forget Present yourself in the best possible light to prospective employers Using these strategies, Orville Pierson and LHH have helped 600,000 people land great new jobs. Employ the Pierson Method in your hunt for employment and you'll soon be doing what you love in the company that's right for you.
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 216
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Book Description
“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable." –The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Author: David H. Autor
Publisher: MIT Press
ISBN: 0262367742
Category : Business & Economics
Languages : en
Pages : 189
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Book Description
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.
Author: DK
Publisher: Penguin
ISBN: 1465440704
Category : Juvenile Nonfiction
Languages : en
Pages : 322
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Book Description
This graphic guide for teens offers practical and inspirational advice on more than 400 careers, arming you with all the information you need to get on the right career path. Whether you want to know how to get your dream job, need a little inspiration or help with understanding the current job market, or have absolutely no idea where to start, Careers is the ultimate source of career advice. Concise and comprehensive in scope, and combining a user-friendly approach with DK's quirky, bold, graphic design, this motivational guide is a personal career advisor in the form of a book.
Author: Marcos Lopez de Prado
Publisher: John Wiley & Sons
ISBN: 1119482119
Category : Business & Economics
Languages : en
Pages : 395
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Book Description
Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Author: Thomas H. Davenport
Publisher: MIT Press
ISBN: 0262538008
Category : Business & Economics
Languages : en
Pages : 243
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Book Description
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Author: Alexey Grigorev
Publisher: Simon and Schuster
ISBN: 1617296813
Category : Computers
Languages : en
Pages : 470
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Book Description
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 and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.
