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- Learn Machine Learning [PRO] Vs. Learn Machine Learning Python
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Learn Machine learning app has been prepared for professionals aspiring to learn the complete picture of machine learning and artificial intelligence. This tutorial caters the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of artificial intelligence and machine learning.
Who this machine learning free course is for:
Anyone interested in Machine Learning. Students who have at least high school knowledge in math and who want to start learn Machine Learning.
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
- Any students in college who want to start a career in Data Science.
- Any data analysts who want to level up in Machine Learning.
- Any people who are not satisfied with their job and who want to become a Data Scientist.
- Any people who want to create added value to their business by using powerful Machine Learning tools.
Learn Machine Learning for beginners guide:
Machine Learning is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method.
Learn Artificial Intelligence for free:
Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans.
This app 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.
Learn Python programming:
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL).
Learn Deep Learning guide:
Deep Learning essentially means training an Artificial Neural Network (ANN) with a huge amount of data. In deep learning, the network learns by itself and thus requires humongous data for learning.
Learn Python Data Science:
Data is the new Oil. This statement shows how every modern IT system is driven by capturing, storing and analysing data for various needs. Be it about making decision for business, forecasting weather, studying protein structures in biology or designing a marketing campaign. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and of course the business or scientific logic behind the data analysis.
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Learn Machine Learning with Python comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. This is an Excellent Guide to the Machine Learning with Python for building Intelligent web and Mobile Apps. If you are a new developer and thinking of learning ML then this app is going to be your best friend. Machine Learning is basically the field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do.
This app is packed with clear explanations, visualizations, and working examples. This app covers all the essential machine learning techniques in depth.
What you will learn in this app?
- Master the frameworks, models, and techniques that enable machines to 'learn' from data
- Use scikit-learn for machine learning and TensorFlow for deep learning
- Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
- Build and train neural networks, GANs, and other models
- Discover best practices for evaluating and tuning models
- Predict continuous target outcomes using regression analysis
- Dig deeper into textual and social media data using sentiment analysis
If you know some Python and you want to use machine learning and deep learning, then download this app. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this app is ideal for anyone who wants to teach computers how to learn from data. This app will also be useful for graduates, postgraduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum.
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11icembre d, 2024