Sybex AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

Great book, some important details explained in very brief way, need more learning.By overall very good book to start preparing for this exam.50 of 65 questions are not about AWS, but about ML.Good Luck!

September 2024, September 23, started udemy Python for Machine learning has 51 min Python review, hope enough!!??In time NFL game, Monday go Red skin, Commander 💪 💪 😔 😔Saw reviews say get hands on experience!! I AGREE!!Read n pass exam NOT enoughHands on AWS ans-c01 too!!Got ML cookbook by Joshua Lat, hands on to make answers make sense and help remember, try go thru practice exams and find hands on to match!! Have to do hands on for ML interview!!16 labs hands on too!! Will update when I pass or fail!!Need bkgrd..boss said AI coming thing...got Neal Davis, step courses and practice,we shall see.Also Jon Bonso examsUsing neal Davis and Frank Kane courses and practice exams and AWS sagemaker books for ML job interview,,get as much hands on as possible,,to me sagemaker a key!!Got AWS ML books.Hope interview is late 2024, ML newbie !!No rush.Michael H., Sagemaker Simon bookSagemaker studio book great end to end book , Neal Davis, step courses and books and udemy exams!!Newbie MLS stuff!!Got interview questions and answers book should be helpful as a ML newbie!!Notice several people passed exam!!A plus!!If I pass MLS, then and AWS ans-c01 network cert and SAA exam in that order!!Maybe Dr Logan Song book AWS, azure GCP and OCI Oracle cloud infrastructure AI exams a possible path!!AWS and Microsoft Azure my current office used!!Other clouds Dr chip H book has seen AWS production and azure and Google GCP for development testing!!Maybe recommend makes sense!! AWS is $$$Using MLS labs 16 basic ,good color screen shots for basic functions very short labs

Just passed the AWS ML Specialty exam and used this book as one of my study materials. The book explains some concepts really well, and does a particularly good job at defining some of well-established AWS ML and Data Engineering services. However, it is severely lacking in MLOps and points to CRISP-DM for implementation, which is a great methodology to know, but a misleading guide for the exam. I’m not sure if the exam formerly used this method.I can see an updating version of this book being absolutely invaluable though, if it were to be put out.