{"product":{"product_id":"1492032646","title":"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems","price":"57.49","image_url":"https://m.media-amazon.com/images/I/51GcXOrWROL._SL500_.jpg","url":"https://www.amazon.com/dp/1492032646"},"comments":[{"body":"I agree, but I will add a crucial part: learn python to do specific things. Don’t learn the language for the sake of knowing python. Learn it in an applied way, which means doing end-to-end projects. \r\n\r\nOP, you’re in a perfect position to be able to level up quickly because you have data to work with: the data at your job. \r\n\r\nI recommend using python to do stuff you mentioned already doing: pull data, clean it up, make some visualizations, build models using scikit-learn/statsmodels, report model comparisons in a visual way. \r\n\r\nHand-in-hand with all this, I would get one of the many “machine learning with python” books and work through it using the data from your company. Not only will you learn the material faster because you are contextualizing the new concepts with data you understand, you’ll be able to impact your company with the assets you create as you learn. I found [this book](https://www.amazon.com/dp/1492032646) to be particularly nice, though you have many options. \r\n\r\nHope this helps!","subreddit_name":"datascience","author":"ratterstinkle"},{"body":"I have recommend this book to all my students: https://www.amazon.com/dp/1492032646?ref=ppx_pop_mob_ap_share\r\n\r\nIt covers high level usage of machine learning libraries and a wide variety of concepts. It also has a github which hosts all of the example code in Jupiter notebooks which is neat. From there you can drill down on any concepts that interest you.","subreddit_name":"Futurology","author":"MuffinzPlox"},{"body":"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems https://www.amazon.com/dp/1492032646/\r\n\r\nHands down the best book in the field. Talks about both Keras and raw TensorFlow.","subreddit_name":"MachineLearning","author":"miamiric3"},{"body":"How is your math? If you're comfortable with multivariable calc, linear algebra, and some statistics (mostly the basics) then you should be ok. If not, it is helpful (but not totally necessary) to refresh.\r\n\r\n[This book](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) that helped me out a ton when I was first learning TF, it has hands-on projects which cover SVMs, neural nets, computer vision, NLP, and RL. It doesn't shy away from the mathematical rigor, so you actually come away with a theoretical understanding of the algorithms, which makes a lot seem less like a black box, and because the projects are hands-on you actually know how to apply the theory into actual code.","subreddit_name":"tensorflow","author":"_DCtheTall_"},{"body":"I recommend [this book](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_1?crid=3ER1TA50DZ1B9\u0026amp;dchild=1\u0026amp;keywords=hands+on+machine+learning+with+scikit-learn+and+tensorflow+2\u0026amp;qid=1595188869\u0026amp;sprefix=hands+on+ma%2Caps%2C158\u0026amp;sr=8-1) in machine learning. It was what got me started :)","subreddit_name":"Entrepreneur","author":"ryendu"},{"body":"\u0026gt; rather than as a user of well known and used networks and techniques.  \r\n\r\nI see what you're getting at. Unfortunately ML is very heavy on the theory aspect. It's a bit more applied math than just comp sci, so knowing what's going on under the hood is very important, even in a high level overview kind of setting. \r\n\r\nI read the first edition of this book, [Hands-on Machine Learning](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) and I found it to be incredibly helpful in easing me into both the theory and practice of ML from basic concepts. And just well written enough to be a pretty enjoyable read","subreddit_name":"programming","author":"wolfpack_charlie"},{"body":"Indeed, you can preorder it from Amazon [here](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=dp_ob_title_bk)\r\n\r\n\u0026amp;#x200B;\r\n\r\nI've currently reading it, if you have subscriptions to safaribooksonline the 2nd version is already available in draft mode, and find that it contains just enough theory + hands on to keep things interesting.\r\n\r\n\u0026amp;#x200B;\r\n\r\nThe second chapter dive straight into an End to end so that you get the overview picture right away instead of spending too much time on any particular area.","subreddit_name":"learnmachinelearning","author":"melaos"},{"body":"I would actually highly recommend that book you linked by Jake Vanderplas. I have it in paper back, read it a couple years ago, and still reference it from time-to-time. \r\n\r\nIIRC it doesn’t get in to tensorflow and neural nets and all that stuff through. I think for that you might want to [check out this book](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=asc_df_1492032646/?tag=hyprod-20\u0026amp;linkCode=df0\u0026amp;hvadid=385599638286\u0026amp;hvpos=\u0026amp;hvnetw=g\u0026amp;hvrand=7945938491311587709\u0026amp;hvpone=\u0026amp;hvptwo=\u0026amp;hvqmt=\u0026amp;hvdev=m\u0026amp;hvdvcmdl=\u0026amp;hvlocint=\u0026amp;hvlocphy=9011912\u0026amp;hvtargid=pla-523968811896\u0026amp;psc=1\u0026amp;tag=\u0026amp;ref=\u0026amp;adgrpid=79288120515\u0026amp;hvpone=\u0026amp;hvptwo=\u0026amp;hvadid=385599638286\u0026amp;hvpos=\u0026amp;hvnetw=g\u0026amp;hvrand=7945938491311587709\u0026amp;hvqmt=\u0026amp;hvdev=m\u0026amp;hvdvcmdl=\u0026amp;hvlocint=\u0026amp;hvlocphy=9011912\u0026amp;hvtargid=pla-523968811896) (haven’t read it entirely but I see it recommended a ton).","subreddit_name":"CFB","author":"NukishPhilosophy"},{"body":"I would highly recommend Coursera.\r\n\r\nLook up Machine Learning Specialization by Andrew Ng. I've just finished it and it's perfect for beginners (me).\r\n\r\nIt's not math heavy at all really, but I have been studying Calculus, linear algebra and applied mathematics at uni for the past 3 years and it certainly helped. I know that probabilities and statistics is also helpful.\r\n\r\nIt does require a subscription though which costs me £40 per month, but they are high quality courses taught by experts, so I would say the value for money is worth it.\r\n\r\nIt recommends 10hrs/week to finish the full specialization in 3 months, but it can be done faster if more time is committed as they are self paced.\r\n\r\nI would say though that 10hrs/week is optimistic if you like to take lots of notes and don't like to move on until each concept is fully understood.\r\n\r\nThere are quizzes, lab tasks, and lab assignments in which there are exercise where where you must complete certain parts of functions, such as a cost function or gradient descent algorithm.\r\n\r\nThere is also a helpful forum to ask as many questions as you like which I used on a few occasions.\r\n\r\nAlso away to get this book as it's supposed to be good.\r\n\r\nhttps://www.amazon.co.uk/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=asc_df_1492032646/?tag=googshopuk-21\u0026amp;linkCode=df0\u0026amp;hvadid=375498709181\u0026amp;hvpos=\u0026amp;hvnetw=g\u0026amp;hvrand=13855415143965638771\u0026amp;hvpone=\u0026amp;hvptwo=\u0026amp;hvqmt=\u0026amp;hvdev=m\u0026amp;hvdvcmdl=\u0026amp;hvlocint=\u0026amp;hvlocphy=1007374\u0026amp;hvtargid=pla-523968811896\u0026amp;psc=1\u0026amp;th=1\u0026amp;psc=1\u0026amp;tag=\u0026amp;ref=\u0026amp;adgrpid=76471991426\u0026amp;hvpone=\u0026amp;hvptwo=\u0026amp;hvadid=375498709181\u0026amp;hvpos=\u0026amp;hvnetw=g\u0026amp;hvrand=13855415143965638771\u0026amp;hvqmt=\u0026amp;hvdev=m\u0026amp;hvdvcmdl=\u0026amp;hvlocint=\u0026amp;hvlocphy=1007374\u0026amp;hvtargid=pla-523968811896\r\n\r\nHope some of that was helpful, all the best on your ML journey.","subreddit_name":"ArtificialInteligence","author":"Fibonacci1664"},{"body":"Ya. I found [this book](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) to be very helpful when I first started. dataset preprocessing is actually a very in depth field with many different algorithms and processes to prep your data. I am surprised your search turned up small results. I also have an PDF copy of another book that I might be able to send if you want. It's much more in depth and covers data preprocessing and topics like that.","subreddit_name":"tensorflow","author":"NameError-undefined"},{"body":"For learning python basic data amp and code academy are fine. For ai you need to take Andrew ng's machine learning and AI courses on Coursera. They are all free and his class shows the code and math behind various algorithms. \r\n\r\nI also would suggest signing up for Udacity to take some free classes if you'd like a higher level explanation, they are also free. Udacity also offers paid subscriptions, and in the past I've created some accounts to do the week or month trial to sign up for a program and spend every night watching the lectures and do the program projects. \r\n\r\nWhile learning about ML a good book is from orielly Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems https://www.amazon.com/dp/1492032646/ref=cm_sw_r_apan_glt_i_MX60RAA716SQZPE90QZJ","subreddit_name":"learnmachinelearning","author":"TopLiving6750"},{"body":"No worries! I would suggest getting [this book](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) or similar and working through it. Doing your own project first is fun, but most likely there are a dozen “gotchas” that you are going to miss","subreddit_name":"learnmachinelearning","author":"kangario"},{"body":"I hear you about not wanting to do a whole course, but it'll help to know Python before you get into the ML since pretty much every Python ML book starts off assuming you understand the syntax and structure of the language before you dive into the code. Since you already know a few languages, you could probably pick that up in a weekend.\r\n\r\nThat Intro to ML book is a good start. Once you finish that, I'd check out this one, [Hands-on ML.](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) This is book is fantastic but it's going to assume you know Python.","subreddit_name":"learnpython","author":"vaccines_melt_autism"},{"body":"Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 1st Edition was my first book. You might want to look at the [most recent version](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=pd_lpo_14_t_0/138-0623590-8485526?_encoding=UTF8\u0026amp;pd_rd_i=1492032646\u0026amp;pd_rd_r=2dcead45-2346-4a6a-9169-2430cc72e7ed\u0026amp;pd_rd_w=FDEjk\u0026amp;pd_rd_wg=eg8U0\u0026amp;pf_rd_p=16b28406-aa34-451d-8a2e-b3930ada000c\u0026amp;pf_rd_r=VWWAJV2WYYD4FDPJGH8C\u0026amp;psc=1\u0026amp;refRID=VWWAJV2WYYD4FDPJGH8C).","subreddit_name":"learnprogramming","author":"VamosPalCaba"},{"body":"ML is a subset of AI. \r\n\r\nIf you have some knowledge of statistics it should take about a week to learn the basics of ML. Start learning how linear regression works and then go from there.\r\n\r\nI’m using the book “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” and so far it has been pretty helpful.\r\n\r\n\r\nhttps://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_1?dchild=1\u0026amp;keywords=Hands-On+Machine+Learning+with+Scikit-Learn%2C+Keras%2C+and+TensorFlow%2C+2nd+Edition\u0026amp;qid=1602413998\u0026amp;sr=8-1","subreddit_name":"learnprogramming","author":"COMPSEDIT"}]}