SKU: 40530124001

Machine Learning Algorithms

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Machine Learning Algorithmspadding: 0px; text rendering: optimizelegibility; font kerning: normal; text size adjust: 100%; box sizing: border box; font family: Georgia, "Droid Serif", Times, serif; font size: 16px; background color: rgb(255, 255, 255); margin top: 0. 75em ! important; margin bottom: 1. 25em ! important; line height: 1. 5em ! important;'Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive

padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'About This Book
Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.
Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation.
Get a solid foundation for your entry into Machine Learning strengthening your roots (algorithms) with this comprehensive guide.
'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'Who This Book Is For'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here.'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'What You Will Learn
Acquaint yourself with important elements of Machine Learning
Understand the feature selection and feature engineering process
Assess performance and error trade-offs for Linear Regression
Build a data model and understand how it works using different types of algorithm
Learn to tune the parameters of Support Vector machines
Implement clusters to a dataset
Explore the concept of Natural Processing Language and Recommendation Systems
Create a ML architecture from scratch.
'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'In Detail'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge.'padding: 0px; text-rendering: optimizelegibility; font-kerning: normal; text-size-adjust: 100%; box-sizing: border-box; font-family: Georgia, "Droid Serif", Times, serif; font-size: 16px; background-color: rgb(255, 255, 255); margin-top: 0.75em !important; margin-bottom: 1.25em !important; line-height: 1.5em !important;'In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously.On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem.

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SKU: 40530124001

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4.6 ★★★★★
Based on 515 reviews
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Verified Purchase
Carmen Alicea
Belleville, US
★★★★★ 4
Baby bumps and bodyguards
Format: Kindle
Dark, emotional, and unexpectedly tender, Not Ready is an omegaverse romance that delivers found family feels, fierce protectiveness, and a very pregnant heroine who refuses to break. Vale’s on the run from a stalker, but lands in the arms of three private security alphas, cue the swoony tension, fake marriage twist, and slow-burn heat. It’s a little gritty, a little soft, and a whole lot addictive. If you love protective alphas, high stakes, and heroines with quiet strength, this one’s a must-read.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 18, 2025
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Verified Purchase
Shianne Whipple
Dallas, US
★★★★★ 5
Strong Omegaverse Comfort and a Attention Grabbing Plot
Format: Kindle
Jillian West never misses when it comes to Omegaverse, and Not Ready is no exception. This story was the perfect blend of cozy comfort and emotional depth while still delivering a strong plot. Vale is such a powerful heroine, she is strong, capable, and determined but I love that she still allows her pack to love and take care of her. It’s that balance of independence and vulnerability that makes her so relatable. The relationship dynamics were amazing: Bishop is steadfast and completely head over heels, Mercy is skeptical but protective in his own way, and Holt is the hesitant one whose slow fall is so satisfying to watch unfold. The romance hits that sweet spot between insta-love and cautious build, keeping me hooked the entire way through. And that ending. Oh my god, the cliffhanger! I need the next book in this duet immediately.
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Reviewed in the United States on August 28, 2025
N
Verified Purchase
NLB
Lake Worth, US
★★★★★ 5
Interesting
Format: Kindle
So I will say I enjoyed the story, for sure had its moments where it dragged but it was a great story. I really liked that omegas picked their alphas/make the pack. Normally the Alphas make it and the omega fits in with them which is great but I enjoyed this new version where all the power basically went to the omega. It was a nice change of pace. I can admit some of the weird bedroom stuff with her being pregnant was odd, it’s really not hard to do stuff when pregnant (I know I’ve had two and it’s normal and even encouraged at the end especially if you want the baby out). But I like the story as a whole and will read the second, I do hope the next one isn’t dragged bc it stopped being action or tense after she met her alphas and I don’t think it was brought up or properly done when they tried to do it. More sweet after she left.
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Reviewed in the United States on November 11, 2024
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Verified Purchase
Altairjones
Grantham, US
★★★★★ 3
I’m a little disappointed.
Format: Kindle
I usually like Jillian West’s books but this one was missing a lot for me. The pregnancy didn’t come across as real. She’s on her feet for 12 hour days but is perfectly healthy at 8 months pregnant? Yet the week she moves in all of a sudden she’s not? She is planning on actually running during one of the plot buildups. But at 8 months pregnant that’s incredibly hard to do. The lack of breathing ability and lung space, the change in body center, mass, and gravity. All of it prohibits running, unless you’re an athlete this didn’t come off as at all realistic. I didn’t feel any connection with the alphas. There wasn’t any emotional connection. It could be because of the tense it was written in. But I didn’t get any deep feelings out of this. It came across as checking off boxes. Even the spicy scenes weren’t really believable for me. I wanted to see them fall for her, and it just kind of all fizzled. Even Bishop. One thing I did really like was the ending. I did not see it coming and I’m interested in reading book two because of it. But on the whole this book was mostly disappointing for me.
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Reviewed in the United States on March 16, 2024
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Verified Purchase
Melissa Williams
Belleville, US
★★★★★ 4
4.25 stars
Format: Kindle
Vale is an 8 month pregnant omega working as a waitress at a strip club and a cam girl. She starts to get very creepy vibes from a regular at the club, and her baby daddy ghosted her. She has had an online relationship with a man named Bishop through her cam girl status. One night, bishop was paying to watch her sleep and ansthe creepy regular Andrew break in and watch her sleep he tells vale to come to him at his business now. She flees and finds herself at a large security company with some.hot of alphas who are there to help her. This imegaverse is a little different than I have read, but I am thoroughly enjoying it. Vale is not a traditional omega she was raised by a single beta mom, and the alphas are not normal alphas they have never really loved pack life. But they are ruthless mercenaries. They need her, and she needs them. I love the aspect of the stalker and now the plot twists at the end, so so good. Sometimes, it seemed a little slow and stale mated, but since this a duet, I think It was just her starting to have Vale get to know her alpha suitors. Cliffhanger for sure with this one.
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Reviewed in the United States on September 9, 2024

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