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top gear top driving songs Top Gear AnthemsTop Gear Anthems The Greatest Ever Driving Songs (CD, 2007, 2 Disc). Tracklist 1 1 Queen Don't Stop Me Now Written By Freddie Mercury 3: 30 1 2 Meat Loaf Bat Out Of Hell (Full Length Version) Written By J Steinman* 9: 47 1 3 Steppenwolf Born To Be Wild Written By Mars Bonfire 3: 29 1 4 Golden Earring Radar Love Written By Barry Hay, George Kooymans 5: 03 1 5 Lynyrd Skynyrd Sweet Home Alabama Written By Edward King*, Gary Rossington, Ronnie Van Zant 4:
Top Gear Anthems - The Greatest Ever Driving Songs (CD, 2007, 2-Disc).Tracklist
1-1 Queen– Don't Stop Me Now
Written-By – Freddie Mercury
3:30
1-2 Meat Loaf– Bat Out Of Hell (Full Length Version)
Written-By – J Steinman*
9:47
1-3 Steppenwolf– Born To Be Wild
Written-By – Mars Bonfire
3:29
1-4 Golden Earring– Radar Love
Written-By – Barry Hay, George Kooymans
5:03
1-5 Lynyrd Skynyrd– Sweet Home Alabama
Written-By – Edward King*, Gary Rossington, Ronnie Van Zant
4:44
1-6 Boston– More Than A Feeling (Long Version)
Written-By – Tom Scholz
4:43
1-7 The Allman Brothers Band– Jessica
Written-By – Forest Richard Betts*
4:00
1-8 Genesis– Turn It On Again
Written-By – Mike Rutherford, Phil Collins, Tony Banks
3:44
1-9 The Doobie Brothers– Long Train Runnin'
Written-By – Tom Johnston
3:27
1-10 Blue Oyster Cult*– (Don't Fear) The Reaper (Long Version)
Written-By – Donald Roeser*
5:07
1-11 Ram Jam– Black Betty
Written-By – H Ledbetter*
2:29
1-12 Free– All Right Now
Written-By – Andrew Fraser*, Paul Rodgers
4:14
1-13 Deep Purple– Highway Star
Written-By – Ian Paice, Jon Lord, Ritchie Blackmore, Roger Glover
6:06
1-14 Black Sabbath– Paranoid
Written-By – Ward*, Osbourne*, Butler*, Iommi*
2:46
1-15 Hawkwind– Silver Machine
Written-By – Dave Brock, Robert Calvert
4:37
1-16 Whitesnake– Here I Go Again
Written-By – Bernie Marsden, David Coverdale
3:52
1-17 ZZ Top– Gimme All Your Lovin'
Written-By – Billy Gibbons, Dusty Hill, Frank Beard
3:57
1-18 Motörhead– Ace Of Spades
Written-By – Clarke*, Kilmister*, Taylor*
2:46
2-1 Blur– Song 2
Written-By – Alex James (2), Damon Albarn, Dave Rowntree, Graham Coxon
2:01
2-2 The Cardigans– My Favourite Game
Written-By – Nina Persson, Peter Svensson
3:37
2-3 Bodyrockers– I Like The Way
Written-By – Dylan Burns, Kaz James
3:20
2-4 Stereophonics– Dakota
Written-By – Kelly Jones
4:57
2-5 Feeder– Buck Rogers
Written-By – Grant Nicholas
3:12
2-6 The Killers– Somebody Told Me
Written-By – Brandon Flowers, Dave Keuning, Mark Stoermer, Ronnie Vannucci
3:17
2-7 Franz Ferdinand– Take Me Out
Written-By – Kapranos*, McCarthy*
4:00
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4.4 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 5
A fun, accessible introduction to how AI works...and how it sometimes doesn't!
Format: Hardcover
Still relevant despite recent advances in AI-generated imagery and text, because the new systems still work on the same principles as the ones that were around three years ago. They just have a lot more data and processing power. This also means they have the same limitations and blind spots. What was it trained on? *How* was it trained? (This is the most obvious way human bias can leak into an AI model.) How well is the goal specified? And of course, did the AI actually latch onto relevant details, or did it notice that all the training pictures labeled sheep had green fields and blue skies, and completely ignore the actual sheep?
These are things to keep in mind as we enter the landscape of generative AI tools like ChatGPT: You can train an LLM to write a book review, and it'll give you a great piece of text that *reads* like a book review -- but it's not going to have actually evaluated the book. For that, you'd have to train *another* AI to categorize books as good, bad, interesting, dull, and so on. But even that can only be as good as its training data. (I don't remember whether the classic phrase "garbage in, garbage out" is used anywhere in the book, but it still applies today!)
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Reviewed in the United States on April 1, 2023
★★★★★ 4
If you want a book on the details of AI without math and statistics, this is it
Format: Paperback
I had this book a year or two back and then sold a lot of books as they piled up. After that I read a good number of books on AI. Of those, Ethan Mollick's book Co-Intelligence is best for the user end. But then there was still the issue of how do they do it?
If you want to understand the process how AI works, there are a few books like this. Melanie Mitchell tends to focus on pictures. When you read ANY of these book, you will come to a page where you think "this makes no sense." You get there because the way AI chops up information and stores it in "cells" and then processes in stages (deep learining, hidden layers) is not how we think. They are not brains, though the neural network has some similarity to ours. You will simply need to finish the book. This one or the one you bought. Then read another one, if needed. It will make a lot of sense if you finish the book. Then you just generalize where you are at. I am never going to write Python or get deeply involved in tha manner. I am quite familiar with the free vesrions and I am able to check what summaries I get from AI. I will also keep up with the language part of it. AI does not study grammar the way we do. It looks for patterns in millions of examples.
I have since 2023 gone through most of the 20 dollar range books. This one is the best.
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Reviewed in the United States on April 1, 2026
★★★★★ 5
Great, funny intro to AI
Format: Hardcover
This is a wonderful, humorous introduction to AI that is a fast read packed full of examples. It makes a great gift for friends or family who don’t know much about the field, and I imagine it would be especially interesting to teens. I loved the way she used running jokes to make connections between themes. Shane is clearly on a mission to make AI more accessible.
It’s funny, someone else said they didn’t like this book because it wasn’t enough like Shane’s tear-inducingly-hilarious blog. But here’s the thing: I can read the blog for free! I was actually nervous that I was going to be getting a repeat of the blog in book form, but it was super different. If you’re a computer science scholar, maybe skip this one, but I don’t think that was the audience Shane was trying to reach.
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Reviewed in the United States on November 19, 2019
★★★★★ 3
Humorous intro-level book to AI
Format: Hardcover
If you are new to the field of AI, this is a fun read. The author does a fine job breaking down complex topics into bite-size, entertaining sections. However, if you are not new to the field of AI, you'll probably find this book boring and will find more joy in visiting the author's popular website.
Personally, I find this book forgettable and not living up to the hype.
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Reviewed in the United States on April 1, 2020
★★★★★ 5
Captivating storytelling and educational material
Format: Paperback
My ten years old boy loved WW2 in Europe: Great Battles for Boys. He likes to read about war and it his third book from Joe Giorello. It is an engaging and easy-to-understand account of significant World War II moments designed for young boys. It has pictures and maps so they can have a better understanding about the War and through captivating storytelling and educational material, it provides a valuable introduction to this crucial era, promoting a greater comprehension and respect for the experiences and achievements of individuals during that time.
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Reviewed in the United States on March 17, 2024