🔹Introduction to Python (🔻FREE)

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.


https://www.datacamp.com/courses/intro-to-python-for-data-science?tap_a=5644-dce66f&tap_s=14201-e863d5

#python
#tutorial
#free
#machinelearning

Python step by step (🔹Free🔹)

Good interactive tutorial from sololearn which will teach you python step by step in a simple way. We suggest you to check it out.

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link: https://www.sololearn.com/User/Login/?ReturnUrl=%2fPlay%2fPython%2f

📌Via: @cedeeplearning

#python
#tutorial
#machinelearning

🔻Free trainings you can register from edureka on following areas:

Big Data, Data Science, RPA, DEEP Learning, DevOps, Tableau, Selenium,IoT

from: edureka.co

📌Via: @cedeeplearning

#big_data
#machinelearning
#datascience
#deeplearning
#free_courses
#tutorial

🔹 A Primer on Neural Network Models
for Natural Language Processing

This tutorial covers input encoding for natural language tasks, feed-forward networks, convolutional networks, recurrent networks and recursive networks, as well as the computation graph abstraction for automatic gradient computation.
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📌Via: @cedeeplearning

#deeplearning #CNN #tutorial
#neuralnetworks #RNN #paper #nlp

🔹 How to Think Like a Data Scientist

🖊By Jo Stichbury

🔻So what does it take to become a data scientist? For some pointers on the skills for success, I interviewed Ben Chu, who is a Senior Data Scientist at Refinitiv Labs.

🔻Be curious
🔻Be scientific
🔻Be creative
🔻Learn how to code
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📌Via: @cedeeplearning

https://www.kdnuggets.com/2020/05/think-like-data-scientist-data-analyst.html

#datascience #machinelearning
#tutorial #roadmap
#python #math #statistics #neuralnetworks

🔹 Study by - LinkedIn Learning.
some important skills needed by companies for 2020
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📌Via: @cedeeplearning
📌Other social media:https://linktr.ee/cedeeplearning

#skill #python #machinelearning #computerscience #datascience
#tutorial #softskills #hardskills

🔹The 5 Basic Statistics Concepts Data Scientists Need to Know

Statistics can be a powerful tool when performing the art of Data Science (DS). From a high-level view, statistics is the use of mathematics to perform technical analysis of data. A basic visualisation such as a bar chart might give you some high-level information, but with statistics we get to operate on the data in a much more information-driven and targeted way. The math involved helps us form concrete conclusions about our data rather than just guesstimating.
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📌Via: @cedeeplearning

link: https://towardsdatascience.com/the-5-basic-statistics-concepts-data-scientists-need-to-know-2c96740377ae

#statistics #datascience
#machinelearning
#tutorial #AI #python
#deeplearning

⭕️ Fine-tuning ResNet with Keras, TensorFlow, and Deep Learning

In this tutorial, you will learn how to fine-tune #ResNet using #Keras, #TensorFlow, and Deep Learning.

https://www.pyimagesearch.com/2020/04/27/fine-tuning-resnet-with-keras-tensorflow-and-deep-learning/
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📌Via: @cedeeplearning

#machinelearning #AI
#deeplearning #neuralnetworks #math
#tutorial #free

⭕️ What are tensors?

Learn from these amazing blogs:

🔹 A Gentle Introduction to Tensors for Machine Learning with NumPy by: Jason Brownlee. https://machinelearningmastery.com/introduction-to-tensors-for-machine-learning/

🔹 WTF is a Tensor?!? by: Matthew Mayo.
https://www.kdnuggets.com/2018/05/wtf-tensor.html

🔹 Quick ML Concepts: Tensors by: Chi Nok Enoch Kan.
https://towardsdatascience.com/quick-ml-concepts-tensors-eb1330d7760f

🔹 Our Instagram post covering this topic: https://www.instagram.com/p/CCSnIO9AVfd/?igshid=a2bgrgoip8zx
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📌Via: @cedeeplearning

#tensor #tensorflow #machinelearning
#neuralnetworks #deeplearninig #tutorial