Data Science From Scratch

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Data Science From Scratch

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Author : Joel Grus
language : en
Publisher: O'Reilly Media
Release Date : 2019-04-12

Data Science From Scratch written by Joel Grus and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-12 with Computers categories.

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.

Data Science From Scratch

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Author : Steven Cooper
language : en
Publisher: Roland Bind
Release Date : 2018-08-10

Data Science From Scratch written by Steven Cooper and has been published by Roland Bind this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with Computers categories.

★☆If you are looking to start a new career that is in high demand, then you need to continue reading!★☆​​​​​​​ Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. So where do business find these people to help change their business? You could be that person! It has become a universal truth that businesses are full of data. With the use of big data, the US healthcare could reduce their health-care spending by $300 billion to $450 billion. It can easily be seen that the value of big data lies in the analysis and processing of that data, and that's where data science comes in. ★★ Grab your copy today and learn ★★ ♦ In depth information about what data science is and why it is important. ♦ The prerequisites you will need to get started in data science. ♦ What it means to be a data scientist. ♦ The roles that hacking and coding play in data science. ♦ The different coding languages that can be used in data science. ♦ Why python is so important. ♦ How to use linear algebra and statistics. ♦ The different applications for data science. ♦ How to work with the data through munging and cleaning ♦ And much more... The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow. As businesses and the internet change, so will data science. This means it's important to be flexible. When data science can reduce spending costs by billions of dollars in the healthcare industry, why wait to jump in? If you want to get started in a new, ever growing, career, don't wait any longer. Scroll up and click the buy now button to get this book today!

Data Science From Scratch

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Author : G S Collins
language : en
Publisher:
Release Date : 2020-01-13

Data Science From Scratch written by G S Collins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-13 with categories.

Become the master of machine learning with this powerful guide. Do you want to know more about neural networks? Have you heard of machine learning, but you're not sure where to begin? Written with the beginner in mind, this detailed guide breaks down everything you need to know about deep and machine learning in a simple, easy-to-understand way. Machine learning is a fascinating and ever-growing field, and its development will shape our futures. Now, you can understand what makes this topic so powerful no matter your level of experience. Using the popular and much-loved programming language Python, inside this comprehensive guide, you will: Learn How to Get Started with Jupyter Notebooks Understand Python Using Various Data Structures Perform Object Oriented Programming Using Python Use The Most Common Libraries Including Numpy, Matplotlib, and Pandas Learn and Recap on The Basics of Linear Algebra and Statistics Comprehend Machine Learning Algorithms Like Linear Regression, Logistic Regression, K-nearest neighbors and Decision Trees Discover Deep Learning Concepts Like Convolutional Neural Networks and Recurrent Neural Networks Implement CNNs and RNNs using Keras Deep Learning Framework And More! With a wide variety of vital topics, this book is your all-in-one ticket to understanding machine learning. Plus, you'll also learn bonus content, such as Generative Adversarial Network (GAN) models and why they're so important. With simple explanations designed to get you comfortable with the maths and statistics behind machine learning, this book is perfect for both the novice and the pro! So what are you waiting for? Buy now to begin your machine learning journey today!

Data Science From Scratch

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Author : Joel Grus
language : en
Publisher:
Release Date : 2015

Data Science From Scratch written by Joel Grus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Data structures (Computer science) categories.

Data Science From Scratch With Python

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Author : Peter Morgan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-08-21

Data Science From Scratch With Python written by Peter Morgan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Data mining categories.

***** BUY NOW (will soon return to 24.77 $) ***** MONEY BACK GUARANTEE BY AMAZON (See Below FAQ) *****Are you thinking of learning data science from scratch using Python? (For Beginners)If you are looking for a complete step-by-step guide to data science using Python from scratch, this book is for you. After his great success with his first book "Data Analysis from Scratch with Python," Peter Morgan publishes his second book focusing now in data science and machine learning. It is considered by practitioners as the easiest guide ever written in this domain. From AI Sciences Publisher Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations. Step by Step Guide and Visual Illustrations and ExamplesThe Book give complete instructions for manipulating, processing, cleaning, modeling and crunching datasets in Python. This is a hands-on guide with practical case studies of data analysis problems effectively. You will learn, pandas, NumPy, IPython, and Jupiter in the Process. Target Users Beginners who want to approach data science, but are too afraid of complex math to start Newbies in computer science techniques and data science Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way Students and academicians, especially those focusing on data science What's Inside This Book? Part 1: Data Science Fundamentals, Concepts and Algorithms Introduction Statistics Probability Bayes' Theorem and Naïve Bayes Algorithm Asking the Right Question Data Acquisition Data Preparation Data Exploration Data Modelling Data Presentation Supervised Learning Algorithms Unsupervised Learning Algorithms Semi-supervised Learning Algorithms Reinforcement Learning Algorithms Overfitting and Underfitting The Bias-Variance Trade-off Feature Extraction and Selection Part 2: Data Science in Practice Overview of Python Programming Language Python Data Science Tools Jupyter Notebook Numerical Python (Numpy) Pandas Scientific Python (Scipy) Matplotlib Scikit-Learn K-Nearest Neighbors Naive Bayes Simple and Multiple Linear Regression Logistic Regression GLM models Decision Trees and Random forest Perceptrons Backpropagation Clustering Natural Language Processing Frequently Asked Questions Q: Does this book include everything I need to become a data science expert?A: Unfortunately, no. This book is designed for readers taking their first steps in data science and machine learning using Python and further learning will be required beyond this book to master all aspects. Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform.***** MONEY BACK GUARANTEE BY AMAZON ***** Editorial Reviews "This is a fantastic book on Python-based data science, data analysis, machine learning, Reinforcement learning and deep learning. As a data scientist with more than 10 years, Peter has had long experience in data science and give in this book the key elements.." - Lei Xia, Data Scientist Expert at Facebook

Data Science From Scratch

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Author : Henry George
language : en
Publisher:
Release Date : 2020-01-24

Data Science From Scratch written by Henry George and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-24 with categories.

Data Science is a booming profession right now, with tech companies publishing job adverts every day requesting skilled data scientists. The right time to take advantage of this opportunity is now! Learn Data Science From Scratch. This book is a comprehensive guide for beginners who want to learn the fundamental principles of data science. It teaches Python programming, the mathematical aspect of Data Science, and Machine learning in such an easy way that it makes creating algorithms look effortless. Programming in Python is definitely not child's play, but reading this book with instill you with enough skill to write advanced data science programs. It covers the basic principles of the modules, libraries, and toolkits necessary for data science and shows you how to master and use them to their maximum capacity. This book help instill confidence in you so that you'll be comfortable with the mathematical and statistical aspects of programming and will guide you on how to apply it to data science. Each chapter in the book contains practical examples that show you how to apply what you learn in the real world.The world is overflowing with data. Data Science From Scratch will show you how to transform data into a format that's appropriate for analysis, inspect the data, create and test hypotheses, and at the end of the day convert the data into knowledge and information. So what are you waiting for? Click the BUY NOW button to get started.

Data Science From Scratch

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Author : Phil J Hack
language : en
Publisher:
Release Date : 2019-11-14

Data Science From Scratch written by Phil J Hack and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-14 with categories.

Learn Data Science NOW. Stop asking yourself where and how to start. Keep reading and find out how this book can help you with your journey. Are you afraid not to understand the technical language of data science? If so, let me tell you something. We all have to start somewhere. Approaching data science can be overwhelming, not if you have in your hands the right tools since day one. Once you start, I can guarantee you, you will want to learn more and more. Data science is an interdisciplinary subject that brings together three different fields of study. All three fields lie at the intersection of business intelligence and big data. More specifically this book will take you through: Which specific tools and analysis you need to know Various aspects involved in Data Mining Types, Quality and Data Preprocessing Things you must know for machine learning to be successful Utilizations and Procedure of Data Science How to exactly set up the appropriate environment for your machine learning needs....and much more!! Even if you never approached Data Science before, you now have the chance to deeply understand every concept and become more confident in what you want to achieve next. Data Science from Scratch has been written thinking of your needs and how to help you get started. The more you wait, the harder it gets. What are you waiting for? Scroll to the top and select on the right the BUY NOW with 1-Clickbutton.

Data Science From Scratch With Python

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Author : Steve Geddis
language : en
Publisher:
Release Date : 2020-10-08

Data Science From Scratch With Python written by Steve Geddis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with categories.

Data are no longer just information but a resource that is growing exponentially. There are many powerful ways to store and manipulate data and there are many helpful data science tools that you can use to begin conducting your own analyses. If you are willing to understand more, this book is a crash course on data science. This book will guide you exploring, among others: The Python programming environment, including fundamental Python programming techniques; Basics of data analysis in Python; What is a Data Scientist? Functionality and features used for data science; Data manipulation using the Python Pandas; models such as neural networks, plotting and clustering; fundamentals of big data, deep learning, artificial intelligence and machine learning; And much much more. Begin your journey and make sure you get the best crash course on data science available!

Data Science From Scratch

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Author : Ramon Base
language : en
Publisher:
Release Date : 2019-07-26

Data Science From Scratch written by Ramon Base and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with categories.

Buy the Paperback version of this book, and get the Kindle eBook version included for FREE Do you want to know all about data science? Do you really want to understand why it is the future in all the most demanding job? The truth is: Data science is the need of the hur. Over the last few years, it has changed the concept of technology. It is adding value to every model of business by using deep learning and statistics. Technological benefits of data science cannot also be ignored. The demand for data science is increasing rapidly. The basic reason behind this is the massive boom in the data generated and retained by the companies. Also known as "big data", data scientists make the best use of this available information and figure out their best use. The team of data scientists also help in generating a good amount of analytics from the information available. This information brings clarity to people on how to interact with the web and are the foundations on which most of the critical business strategies rest. The demand for the data scientists is gradually increasing and so there must be proper learning resources for them to cultivate their knowledge. DOWNLOAD: Data Science from Scratch, Ultimate Guide to Master Data Mining and data-Analytic from Linear Algebra and Statistics to Practical Examples of Neural Networks and Machine Learning in Python. A data scientist has the following tasks to do: Analyse data Modelling/statistics Engineering/prototyping A lot of data is available in every organization. All of them are not that easy to format. A data scientist's job mainly revolves around formatting these data, keeping in mind some set of rules. The goal of this book is simple: The book provides a perfect insight into data science from the very scratch. It clearly explains the difference between data science and big data, explaining the concept of big data very concisely and clearly. Operations on data are also very clearly explained in this eBook. The book also stresses on Ultimate Guide to Master Data Mining and data-Analytic from Linear Algebra and Statistics to Practical Examples of Neural Networks and Machine Learning in Python. You will also learn: What is big data Difference between Data Science and big data Operations on data munging, cleaning, manipulating and rescaling data basic linear algebra with exercises Statistics and basic concept Decision tree and how to use them Languages required for data science Basics of python Neural network and what to use for (with examples) Machine learning (with examples) Importance of data science in job and business Who is a data scientist Data Science and its applications Would you like to know more? Download the eBook, Data Science from Scratch, and know about the trend that is ruling the world today. Scroll to the top of the page and select the buy now button.

Data Science From Scratch 2nd Edition

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Author : Joel Grus
language : en
Publisher:
Release Date : 2019

Data Science From Scratch 2nd Edition written by Joel Grus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out.