machine learning for beginners – Goodnewsnigeria https://goodnewsnigeria.com There is Good in Nigeria. Tue, 31 May 2022 17:49:16 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.5 35090771 Get Started with Machine Learning and AI in 2023 https://goodnewsnigeria.com/random/get-started-with-machine-learning-and-ai-in-2023/?utm_source=rss&utm_medium=rss&utm_campaign=get-started-with-machine-learning-and-ai-in-2023 https://goodnewsnigeria.com/random/get-started-with-machine-learning-and-ai-in-2023/#respond Tue, 31 May 2022 17:49:16 +0000 https://goodnewsnigeria.com/random/get-started-with-machine-learning-and-ai-in-2023/



This video we walk through a roadmap of how to get started in machine learning and AI. It can seem like a lot at first, but in this video Rob Mulla, kaggle grandmaster, breaks down his suggestions for anyone looking to start in this field. This is a good entry into anyone looking to start a career in data science or machine learning. We break it down into a few steps. This will help you map out your path to becoming a machine learning master including: which programming language to use, what courses to take, and the rest.

Timeline:
00:00 Starting your journey
00:46 Picking a programming language
02:00 Math & Statistics
03:10 Data Wrangling
03:44 Learn Algorithms
04:45 Picking a Focus
06:50 Tools
08:06 Learn through Doing (Kaggle)

Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: https://www.youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: https://www.youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: https://www.youtube.com/watch?v=u4_c2LDi4b8

* Youtube: https://youtube.com/@robmulla?sub_confirmation=1
* Discord: https://discord.gg/HZszek7DQc
* Twitch: https://www.twitch.tv/medallionstallion_
* Twitter: https://twitter.com/Rob_Mulla
* Kaggle: https://www.kaggle.com/robikscube

#machinelearning #datascience #python

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]]> https://goodnewsnigeria.com/random/get-started-with-machine-learning-and-ai-in-2023/feed/ 0 210403 Machine Learning Full Course – Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka https://goodnewsnigeria.com/random/machine-learning-full-course-learn-machine-learning-10-hours-machine-learning-tutorial-edureka/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-full-course-learn-machine-learning-10-hours-machine-learning-tutorial-edureka https://goodnewsnigeria.com/random/machine-learning-full-course-learn-machine-learning-10-hours-machine-learning-tutorial-edureka/#respond Sun, 22 Sep 2019 08:30:00 +0000 https://goodnewsnigeria.com/random/machine-learning-full-course-learn-machine-learning-10-hours-machine-learning-tutorial-edureka/



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This Edureka Machine Learning Full Course video will help you understand and learn Machine Learning Algorithms in detail. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning Algorithms. Below are the topics covered in this Machine Learning Tutorial for Beginners video:
00:00 Introduction
2:47 What is Machine Learning?
4:08 AI vs ML vs Deep Learning
5:43 How does Machine Learning works?
6:18 Types of Machine Learning
6:43 Supervised Learning
8:38 Supervised Learning Examples
11:49 Unsupervised Learning
13:54 Unsupervised Learning Examples
16:09 Reinforcement Learning
18:39 Reinforcement Learning Examples
19:34 AI vs Machine Learning vs Deep Learning
22:09 Examples of AI
23:39 Examples of Machine Learning
25:04 What is Deep Learning?
25:54 Example of Deep Learning
27:29 Machine Learning vs Deep Learning
33:49 Jupyter Notebook Tutorial
34:49 Installation
50:24 Machine Learning Tutorial
51:04 Classification Algorithm
51:39 Anomaly Detection Algorithm
52:14 Clustering Algorithm
53:34 Regression Algorithm
54:14 Demo: Iris Dataset
1:12:11 Stats & Probability for Machine Learning
1:16:16 Categories of Data
1:16:36 Qualitative Data
1:17:51 Quantitative Data
1:20:55 What is Statistics?
1:23:25 Statistics Terminologies
1:24:30 Sampling Techniques
1:27:15 Random Sampling
1:28:05 Systematic Sampling
1:28:35 Stratified Sampling
1:29:35 Types of Statistics
1:32:21 Descriptive Statistics
1:37:36 Measures of Spread
1:44:01 Information Gain & Entropy
1:56:08 Confusion Matrix
2:00:53 Probability
2:03:19 Probability Terminologies
2:04:55 Types of Events
2:05:35 Probability of Distribution
2:10:45 Types of Probability
2:11:10 Marginal Probability
2:11:40 Joint Probability
2:12:35 Conditional Probability
2:13:30 Use-Case
2:17:25 Bayes Theorem
2:23:40 Inferential Statistics
2:24:00 Point Estimation
2:26:50 Interval Estimate
2:30:10 Margin of Error
2:34:20 Hypothesis Testing
2:41:25 Supervised Learning Algorithms
2:42:40 Regression
2:44:05 Linear vs Logistic Regression
2:49:55 Understanding Linear Regression Algorithm
3:11:10 Logistic Regression Curve
3:18:34 Titanic Data Analysis
3:58:39 Decision Tree
3:58:59 what is Classification?
4:01:24 Types of Classification
4:08:35 Decision Tree
4:14:20 Decision Tree Terminologies
4:18:05 Entropy
4:44:05 Credit Risk Detection Use-case
4:51:45 Random Forest
5:00:40 Random Forest Use-Cases
5:04:29 Random Forest Algorithm
5:16:44 KNN Algorithm
5:20:09 KNN Algorithm Working
5:27:24 KNN Demo
5:35:05 Naive Bayes
5:40:55 Naive Bayes Working
5:44:25Industrial Use of Naive Bayes
5:50:25 Types of Naive Bayes
5:51:25 Steps involved in Naive Bayes
5:52:05 PIMA Diabetic Test Use Case
6:04:55 Support Vector Machine
6:10:20 Non-Linear SVM
6:12:05 SVM Use-case
6:13:30 k Means Clustering & Association Rule Mining
6:16:33 Types of Clustering
6:17:34 K-Means Clustering
6:17:59 K-Means Working
6:21:54 Pros & Cons of K-Means Clustering
6:23:44 K-Means Demo
6:28:44 Hierarchical Clustering
6:31:14 Association Rule Mining
6:34:04 Apriori Algorithm
6:39:19 Apriori Algorithm Demo
6:43:29 Reinforcement Learning
6:46:39 Reinforcement Learning: Counter-Strike Example
6:53:59 Markov’s Decision Process
6:58:04 Q-Learning
7:02:39 The Bellman Equation
7:12:14 Transitioning to Q-Learning
7:17:29 Implementing Q-Learning
7:23:33 Machine Learning Projects
7:38:53 Who is a ML Engineer?
7:39:28 ML Engineer Job Trends
7:40:43 ML Engineer Salary Trends
7:42:33 ML Engineer Skills
7:44:08 ML Engineer Job Description
7:45:53 ML Engineer Resume
7:54:48 Machine Learning Interview Questions

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โฉ NEW Top 10 Technologies To Learn In 2023 – https://youtu.be/udD_GQVDt5g

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For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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]]> https://goodnewsnigeria.com/random/machine-learning-full-course-learn-machine-learning-10-hours-machine-learning-tutorial-edureka/feed/ 0 231834 Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2021 | Simplilearn https://goodnewsnigeria.com/random/machine-learning-what-is-machine-learning-introduction-to-machine-learning-2021-simplilearn/?utm_source=rss&utm_medium=rss&utm_campaign=machine-learning-what-is-machine-learning-introduction-to-machine-learning-2021-simplilearn https://goodnewsnigeria.com/random/machine-learning-what-is-machine-learning-introduction-to-machine-learning-2021-simplilearn/#respond Wed, 19 Sep 2018 14:57:02 +0000 https://goodnewsnigeria.com/random/machine-learning-what-is-machine-learning-introduction-to-machine-learning-2021-simplilearn/



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This Machine Learning basics video will help you understand what Machine Learning is, what are the types of Machine Learning – supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into self-learning mode without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use โ€œpattern recognitionโ€ to produce reliable results.

The below topics are explained in this Machine Learning basics video:
1. What is Machine Learning? ( 00:21 )
2. Types of Machine Learning ( 02:43 )
2. What is Supervised Learning? ( 02:53 )
3. What is Unsupervised Learning? ( 03:46 )
4. What is Reinforcement Learning? ( 04:37 )
5. Machine Learning applications ( 06:25 )

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning and follow the path toward your dream career- https://bit.ly/3eLuTUo

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

#MachineLearning #WhatIsMachineLearning #MachineLearningTutorial #MachineLearningBasics #MachineLearningTutorialForBeginners #Simplilearn

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