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Machine Learning For Absolute Beginners, 2nd Edition

Pdf Book Name: Machine Learning For Absolute Beginners, 2nd Edition
Author: Oliver Theobald
Publisher: Scatterplot Press
ISBN-10: 978-1549617218
Year: 2018
Pages: 154
Language: English
File size: 2.63 MB
File format: PDF

Machine Learning For Absolute Beginners, 2nd Edition Pdf Book Description:

Machines have come a long way since the Industrial Revolution. They continue to fill factory floors and manufacturing plants, but now their capabilities extend beyond manual activities to cognitive tasks that, until recently, only humans were capable of performing. Judging song competitions, driving automobiles, and mopping the floor with professional chess players are three examples of the specific complex tasks machines are now capable of simulating. But their remarkable feats trigger fear among some observers. Part of this fear nestles on the neck of survivalist insecurities, where it provokes the deep-seated question of what if? What if intelligent machines turn on us in a struggle of the fittest? What if intelligent machines produce offspring with capabilities that humans never intended to impart to machines? What if the legend of the singularity is true? The other notable fear is the threat to job security, and if you’re a truck driver or an accountant, there is a valid reason to be worried. According to the British Broadcasting Company’s (BBC) interactive online resource Will a robot take my job?, professions such as bar worker (77%), waiter (90%), chartered accountant (95%), receptionist (96%), and taxi driver (57%) each have a high chance of becoming automated by the year 2035. [1] But research on planned job automation and crystal ball gazing with respect to the future evolution of machines and artificial intelligence (AI) should be read with a pinch of skepticism. AI technology is moving fast, but broad adoption is still an unchartered path fraught with known and unforeseen challenges. Delays and other obstacles are inevitable. Nor is machine learning a simple case of flicking a switch and asking the machine to predict the outcome of the Super Bowl and serve you a delicious martini. Machine learning is far from what you would call an out-of-the-box solution.

Machines operate based on statistical algorithms managed and overseen by skilled individuals known as data scientists and machine learning engineers. This is one labor market where job opportunities are destined for growth but where, currently, supply is struggling to meet demand. Industry experts lament that one of the biggest obstacles delaying the progress of AI is the inadequate supply of professionals with the necessary expertise and training Please be aware this textbook isn’t a sequel to the First Edition, but instead a restructured and revived version of this First Edition. Readers of this First Edition shouldn’t feel pressured to obtain this Second Edition. Disclaimer: in case you’ve passed the’new comer’ phase on your research of machine learning and are prepared to tackle coding and profound learning, then you’d be well served using a long-format textbook. If, however, you’re yet to accomplish this Lion King second as a completely grown Simba looking within the Pride Lands of Africa then here is the book to gently hoist up you and give you a clear set of the property. You also need to read The Hundred Page Machine Learning Book for free.

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