[Télécharger] Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science (English Edition) de Samuel Hack Pdf Ebook
Télécharger Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science (English Edition) de Samuel Hack livre En ligne
Télécharger "Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science (English Edition)" de Samuel Hack Livres En Ligne
Auteur : Samuel Hack
Catégorie : Ebooks Kindle,Ebooks en langues étrangères,Par langue
Broché : * pages
Éditeur : *
Langue : Français, Anglais
Master the world of Python and Machine Learning with this incredible 4-in-1 bundle.Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning, and what it can do for you? Then keep reading.Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Machine Learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you’ll discover everything you need to know to get started with Python and Machine Learning, and begin your journey to success!In book one, MACHINE LEARNING FOR BEGINNERS, you’ll learn: What is Artificial Intelligence Really, and Why is it So Powerful?Choosing the Right Kind of Machine Learning Model for YouAn Introduction to StatisticsReinforcement Learning and Ensemble Modeling“Random Forests” and Decision TreesAnd Much More!In book two, MACHINE LEARNING MATHEMATICS, you will: Learn the Fundamental Concepts of Machine Learning AlgorithmsUnderstand The Four Fundamental Types of Machine Learning AlgorithmMaster the Concept of “Statistical Learning"Learn Everything You Need to Know about Neural Networks and Data PipelinesMaster the Concept of “General Setting of Learning”And Much More!In book three, LEARNING PYTHON, you’ll discover:How to Install, Run, and Understand Python on Any Operating SystemA Comprehensive Introduction to PythonPython Basics and Writing CodeWriting Loops, Conditional Statements, Exceptions and MorePython Expressions and The Beauty of InheritancesAnd More!And in book four, PYTHON MACHINE LEARNING, you will:Learn the Fundamentals of Machine LearningMaster the Nuances of 12 of the Most Popular and Widely-Used Machine Learning AlgorithmsBecome Familiar with Data Science TechnologyDive Into the Functioning of Scikit-Learn Library and Develop Machine Learning ModelsUncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model – Data Pre-Processing and Training/Testing SubsetsAnd So Much More!Whether you’re a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of Python and Machine Learning. So don’t wait – it’s never been easier to learn.Buy now to become a master of Python and machine learning today!Scroll Up and Click the BUY NOW Button to Get Your Copy!
Télécharger Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science (English Edition) de Samuel Hack livre En ligne
Machine Learning For Dummies®, IBM Limited Edition ~ Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. Machine learning uses a variety of algorithms that iteratively learn from data to improve, describe data, and predict outcomes.
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scikit-learn: machine learning in Python — scikit-learn 0 ~ Machine Learning in Python . Simple and efficient tools for predictive data analysis; Accessible to everybody, and reusable in various contexts; Built on NumPy, SciPy, and matplotlib ; Open source, commercially usable - BSD license; Classification. Identifying which category an object belongs to. Applications: Spam detection, image recognition. Algorithms: SVM, nearest neighbors, random .
Python Machine Learning - W3Schools ~ Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome.
Python Data Science Handbook - GitHub Pages ~ This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks.. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license.. If you find this content useful, please consider supporting the work by buying the book!
AI with Python Tutorial - Tutorialspoint ~ Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans. This tutorial covers the basic concepts of various fields of artificial intelligence like Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, Genetic algorithms etc., and its implementation in Python.
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Kaggle: Your Machine Learning and Data Science Community ~ Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. . Machine Learning is the hottest field in data science, and this track will get you started quickly. 65k. Pandas . Short hands-on challenges to perfect your data manipulation skills. 87k. Python. Learn the most important language for Data Science. 65k. Deep .
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Artificial Intelligence - Overview - Tutorialspoint ~ Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.
Machine Learning, Data Science, Big Data, Analytics, AI ~ State of Data Science and Machine Learning 2020: 3 Key Findings; Top Stories, Dec 7-13: 20 Core Data Science Concepts for Beginners; How The New World of AI is Driving a New World of Processor Development; How to Create Custom Real-time Plots in Deep Learning; 6 Things About Data Science that Employers Don’t Want You to Know
Microsoft Certified: Azure Data Scientist Associate ~ In response to the coronavirus (COVID-19) situation, Microsoft is implementing several temporary changes to our training and certification program. Learn more. The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on .
Anaconda / Individual Edition ~ Anaconda Individual Edition is the world’s most popular Python distribution platform with over 20 million users worldwide. You can trust in our long-term commitment to supporting the Anaconda open-source ecosystem, the platform of choice for Python data science.
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The Python Tutorial — Python 3.9.1 documentation ~ Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the .
Learn Artificial Intelligence with Online Courses and ~ The field of Artificial Intelligence (ai systems) and machine learning algorithms encompasses computer science, natural language processing, python code, math, psychology, neuroscience, data science, machine learning and many other disciplines. An introductory course in AI is a good place to start as it will give you an overview of the components bring you up to speed on the AI research and .
Learn R, Python and SQL for Data Science / Dataquest ~ Learn data science online in our career paths. When you choose a Dataquest career path, you don't have to wonder what you'll learn next. In our career paths, you'll learn all the skills you need to land your first job in data science, including R, Python, SQL, data visualization, data analysis, machine learning, and more.
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What is Data Science? - University of California, Berkeley ~ What is Data Science? Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills.
Learn Python Programming - Python Tutorial ~ There are so many things to learn: coding, object orienated programming, building desktop apps, creating web apps with Flask or Django, learning how to plot and even how to use Machine Learning or Artificial Intelligence. You may have many questions or perhaps you don’t know where to start, the book below helps you master Python in no time.
Plotly Python Graphing Library / Python / Plotly ~ Our recommended IDE for Plotly's Python graphing library is Dash Enterprise's Data Science Workspaces, which has both Jupyter notebook and Python code file support. Find out if your company is using Dash Enterprise.. Install Dash Enterprise on Azure / Install Dash Enterprise on AWS
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