#resources #programming #machinelearning

Free 

10-Hour Machine Learning Course
by young machine learning and artificial intelligence expert Ayush Singh

Here are the sections covered in this course:

Section 1: Basics of Machine Learning
Section 2: Linear Regression & Regularization
Section 3: Logistic Regression & Performance Metrics
Section 4: Support Vector Machine
Section 5: Principle Component Analysis
Section 6: Learning Theory
Section 7: Decision Trees & Random Forest
Section 7.5: Learning more algorithms and building more projects
Section 8: Unsupervised Learning Algorithms
Section 9: Building Applications

🎥Watch the full course below link
https://youtu.be/NWONeJKn6kc
(10-hour watch)

🌐Resource src:
https://www.freecodecamp.org/news/free-machine-learning-course-10-hourse/

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Channel @llbschool
Forum @letslearnbio
Forum @letslearnbioinformatics
🗼Nyberman_Bioinformatics_Europe

#jobalert #bioinformatics #phd #postdoc #poland #MachineLearning #fb

Jobs in bioinformatics and structural biology jobs in projects on peptide therapeutics and protein interactions

🌐Check here for more details:
http://lcbio.pl/jobs

🏫 Follow us for ABROAD Bio-IT Events/Jobs/Scholarship updates
-> instagram.com/llbschool

#datascience #machinelearning #ml #ai #data #dataanlytics

THE MAIN STATISTICAL CONCEPTS CHEATSHEET
Compiled by Harvard University, take a look at the main Statistical Concepts Cheatsheet you may need to know.

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Channel @llbschool
Forum @letslearnbioinformatics

#machinelearning #AlphaFold #Bioinformatics #structure #biology

WHAT IS NEXT FOR ALPHAFOLD

In the following you find a couple of extracts, that are considered crucial but everything unleashed in this article is important and should be carefully read, especially by experimental scientists in the Biological Sciences

eg:-
Enzyme/Protein Discovery
" (Christine) Orengo’s team is searching it (database of protein sequence) to identify fresh kinds of proteins and has turned up hundreds, perhaps thousands, of potentially new protein families, expanding scientists’ knowledge of what proteins look like and can do.

In another effort, the team is scouring databases of DNA sequences harvested from the ocean and waste water, to try to identify new plastic-eating enzymes.

Using AlphaFold to quickly approximate the structures of thousands of proteins, the researchers hope to better understand how enzymes evolved to break down plastic, and potentially

📚 To read the article click here

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@llbschool

🌟NyBerMan Bioinformatics Merit scholarship for International Virtual Workshop on Basic Principles to Advanced Techniques: Cheminformatics and Machine Learning in Drug Discovery

👩‍🎓Eligibility:
- Pursuing Ph.D. / PostDoc / JRF / SRF / RA
- Low Financial status
- Above 60% grade in Masters
- Recommendation letter from current mentors, which should justify your financial status (Point 2) & Masters Grade (Point 3)

👥 20 seats

🗓🎯Registration Deadline
Wednesday 19th April 2023

👨‍💻Apply Now (First come, First Served)
https://forms.gle/wtoA8jT7a656uRbz8

#nyberman #merit #scholarship #virtual #workshop #drugdiscovery #machinelearning #cheminformatics

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For more Bioinfo news & discussion join👇
@bioinfo_channel
@bioinfo_forum

Summer School AI4MedChem - An Introductory Course Artificial Intelligence for Medicinal Chemistry and Drug Design

In September, we will provide an introductory course AI for interested students, phd students or post-docs in the field of Pharmacy, Medicinal Chemistry, Life Sciences or related fields. The course combines the theoretical aspects in the form of lectures with the practical aspects using Jupyter Notebooks. We will use our just released Jupyter notebooks for this course (see: https://onlinelibrary.wiley.com/doi/10.1002/ardp.202200628)

🎯Deadline for application: 18.06.2023

🌐See for further information.
https://www.uni-muenster.de/Chemie.pz/forschen/ag/koch/ai4medchem.html

💰FREE OF CHARGE

#ai #teaching #medicinalchemistry #cheminformatics #machinelearning #drugdesign

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Follow us for more!
@llbschool
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Recorded video on
TCGA Biomarkers Identification using Machine Learning | Complete Walkthrough

📚Chapters:

》Introduction and background

Chapter 1 - Installing packages and importing libraries
》Using TCGA Biolinks
》Structuring Input data and filtering
》PlotMDS from limma and edgeR
》Normalization of data
》PCA Analysis
》Making Train Label and One -hot Encoding

Chapter 2 - Neural network construction
》Neural networking Training model fitting
》Saving Model as hdf5 files
》Extraction weights and bias
》Extraction of GOI using weights and bias

Chapter 3 - Gene set enrichment analysis
》Results
》Some major issues with this approach

🎥Watch video at
https://youtu.be/wiyl3Uv39mE

#resource #workshop #r #machinelearning
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Channel @llbschool
Forum @bioinfo_forum

🚀 PPIformer, a game-changing ML model for engineering protein-protein interactions. A collaborative effort by experts from the Czech Institute of Informatics, Loschmidt Laboratories, Masaryk University, and IOCB Prague.

👉How can machine learning elevate protein therapeutics?

📑Explore the latest preprint, 'Learning to design protein-protein interactions with enhanced generalization': https://arxiv.org/abs/2310.18515.

#ProteinEngineering #MachineLearning #Bioinformatics

📲 Join the Nyberman community at
https://n9.cl/join_nyberman_community

https://youtube.com/live/l_BrkBXtKIA?feature=share

☯️ Live now
If you do not find a place zoom platform, feel free watch on our YouTube channel

📢 Exciting Research Opportunity! Join as a JRF at IIT Hyderabad 🎓

🔬 Work on Machine Learning in Chemical Physics 🧪
📅 1-Year Initial Appointment (Extendable)
📜 Eligibility: M.Sc. Graduates
💰 Monthly Fellowship: Rs. 31,000 + 24% HRA
🏠 Campus Accommodation Available (Limited)

📩 Send CV to: debasishkoner@chy.iith.ac.in

🗓 Deadline: January 28, 2024

#JobAlert #Chemistry #MachineLearning #Physics #ResearchOpportunity

𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐮𝐬 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬:
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📣 Join our Discussion Forum: rb.gy/w7i17

🔬 Introducing ProteomicsML: Hub for Proteomics Datasets for training machine learning algorithms! 🧬

🤩 What is ProteomicsML?
ProteomicsML is your one-stop, free online resource designed to simplify the complex process of accessing proteomics datasets for training machine learning algorithms.

🎯 Mission:
By serving as a centralized platform, ProteomicsML is committed to making proteomics research more accessible and reproducible.

🚀 Key Features:
❇️Unified platform for streamlined proteomics data access.
❇️Comprehensive tutorials to support the proteomics research.
❇️A vibrant, community-driven project ready to evolve with the dynamic field of proteomics.

📚Access the platform now: https://proteomicsml.org/

#nyberman_resources
#ProteomicsML
#ProteomicsResearch
#MachineLearning
#DataAccess
#ResearchCommunity

Stay connected:
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📣 Join our Forum: rb.gy/w7i17

💫 The workshop on WEKA: Exploring Machine Learning for Health" was led by renowned IITM experts.

✍️Dive into:
✅Key concepts and techniques of machine learning relevant to healthcare.
✅The powerful WEKA software to gain hands-on experience.
✅Gain technical skills in data analysis, modelling, and prediction
✅Boost your understanding of how machine learning can revolutionise healthcare delivery.

Don't wait! Seats are limited; register now using the link below to secure your spot.

🔗 Registration Link:
https://elearn.nptel.ac.in/shop/iit-workshops/ongoing/exploring-machine-learning-for-healthcare/

#external_event
#machinelearning
#healthcare
#WEKA
#IITM
#workshop

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Check out events that might align with your interest
🔷 Workshop on Post MD analysis
🔶 Free Workshop on Advanced Excel for Biologist
♦️15 day Internship on NGS for beginners
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Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare

A recent systematic review covers the evolving role of Automated Machine Learning (AutoML) in healthcare, especially with interpretation systems that make ML models more accessible and understandable for clinicians and researchers. Examining 118 studies, this resource offers insights into key AutoML techniques, including automated data preparation, feature engineering, and model development, along with interpretation methods that enhance trust and usability in clinical settings.

This review serves as a valuable resource for professionals aiming to leverage AutoML’s potential in healthcare, promoting innovation in data-driven decision-making

Learn more

#ResourcePost #MachineLearning

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🚨 𝐋𝐚𝐬𝐭 𝐃𝐚𝐲 𝐭𝐨 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐀𝐈-𝐃𝐫𝐢𝐯𝐞𝐧 𝐆𝐞𝐧𝐨𝐦𝐢𝐜 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩!

Join our AI-Driven Genomic Data Analysis Internship – 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐭𝐨𝐦𝐨𝐫𝐫𝐨𝐰 𝐍𝐨𝐯𝐞𝐦𝐛𝐞𝐫 9, 2024! Dive into practical training on machine learning and bioinformatics, with a hands-on approach to genomic data analysis.

For more info: https://www.linkedin.com/feed/update/urn:li:activity:7260570464903688192

Register at: https://nyberman.com/edtech/#upcoming-internships

✅15-𝐝𝐚𝐲 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩 𝐨𝐧 𝐂𝐡𝐞𝐦𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬 𝐰𝐢𝐭𝐡 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 !
𝘛𝘩𝘪𝘴 𝘪𝘯𝘵𝘦𝘳𝘯𝘴𝘩𝘪𝘱 𝘪𝘴 𝘤𝘳𝘢𝘧𝘵𝘦𝘥 𝘵𝘰 𝘱𝘳𝘰𝘷𝘪𝘥𝘦 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵𝘴 𝘸𝘪𝘵𝘩 𝘢 𝘴𝘰𝘭𝘪𝘥 𝘧𝘰𝘶𝘯𝘥𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘤𝘩𝘦𝘮𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘤𝘴, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘱𝘳𝘢𝘤𝘵𝘪𝘤𝘢𝘭 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘪𝘯 𝘮𝘢𝘤𝘩𝘪𝘯𝘦 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘢𝘯𝘥 𝘗𝘺𝘵𝘩𝘰𝘯 𝘱𝘳𝘰𝘨𝘳𝘢𝘮𝘮𝘪𝘯𝘨. 𝘠𝘰𝘶’𝘭𝘭 𝘭𝘦𝘢𝘳𝘯 𝘵𝘰 𝘸𝘰𝘳𝘬 𝘸𝘪𝘵𝘩 𝘦𝘴𝘴𝘦𝘯𝘵𝘪𝘢𝘭 𝘤𝘩𝘦𝘮𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘤𝘴 𝘵𝘰𝘰𝘭𝘴, 𝘣𝘶𝘪𝘭𝘥 𝘢𝘯𝘥 𝘦𝘷𝘢𝘭𝘶𝘢𝘵𝘦 𝘮𝘢𝘤𝘩𝘪𝘯𝘦 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘮𝘰𝘥𝘦𝘭𝘴, 𝘢𝘯𝘥 𝘢𝘱𝘱𝘭𝘺 𝘮𝘰𝘭𝘦𝘤𝘶𝘭𝘢𝘳 𝘥𝘰𝘤𝘬𝘪𝘯𝘨 𝘵𝘦𝘤𝘩𝘯𝘪𝘲𝘶𝘦𝘴, 𝘢𝘭𝘭 𝘸𝘪𝘵𝘩𝘪𝘯 𝘢 𝘱𝘳𝘰𝘫𝘦𝘤𝘵-𝘣𝘢𝘴𝘦𝘥 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘵𝘩𝘢𝘵 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘴 𝘢𝘴𝘴𝘦𝘴𝘴𝘮𝘦𝘯𝘵𝘴.

👀Learn More at the Original Post: https://www.linkedin.com/posts/nyberman-trainings_cheminformatics-machinelearning-bioinformatics-activity-7276845685830737920-lTHi?utm_source=share&utm_medium=member_desktop

📲 Register At Our Site :
https://nyberman.com/edtech/#upcoming-courses

🔗 Register before it’s too late for the 15-day Internship on AI-Driven Genomic Data Analysis
https://www.linkedin.com/feed/update/urn:li:activity:7350414641669308416

🌐 For more info & Registration, visit our site at: https://nyberman.com/edtech/#upcoming-internships

3 days to go - Level up your career in Transcriptomics + AI!

Join our 1-month Industry-Focus virtual internship covers Hands-on with FastQC, DESeq2, GSEA, XGBoost & more!

📅 Starts: Sep 1, 2025

📎Full info: https://www.linkedin.com/feed/update/urn:li:activity:7366788653387313153

🔗 Register at: https://nyberman.com/edtech/#upcoming-internships

#RNASeq #AIinGenomics #NyBerManInternship

🌟 1-Month Merit-Based, Industry-Oriented Internship on AI-Powered OMICS Data Analysis, 16 March 2026

🧪 𝐖𝐡𝐲 𝐉𝐨𝐢𝐧?
✅ Super-5 Merit seats available
✅ Industry-relevant tools
✅ Concept + coding in every session
✅ Group-based research-style mini projects
✅ Certificate (Netherlands Chamber of Commerce – KVK #93954409)

🔗 Explore more & Registration details at:
https://www.linkedin.com/posts/nyberman-trainings_transcriptomics-rnaseq-aiinbiology-activity-7427357345745145856-hDHe?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAtlitQB08r_vHMjfiILIDeXSl30Np41Wb0

🚀 1-Month Internship: AI-Powered OMICS Data Analysis
🔬 Hands-on | Industry-focused

📢 Limited slots!

🔗 Explore more at: https://www.linkedin.com/feed/update/urn:li:activity:7444338150971191296

🧬 NyBerMan Summer Internships 2026 are LIVE!

3 programs. All virtual. All certified.

1️⃣ One Month Virtual Internship on AI-Powered Omics Data Analysis
🗓️ 20th April 2026 | 15 Days

2️⃣ 15-day Virtual Internship on Fundamentals of RNA-Seq for Beginners
🗓️ 20th April 2026

3️⃣ 15-day Virtual Internship on ML for Biomarker Discovery
🗓️ 13th May 2026

👉 Full details + registration:https://www.linkedin.com/posts/nyberman-trainings_summerinternship2026-bioinformatics-rnaseq-activity-7450022631417757696-m-BZ?utm_source=share&utm_medium=member_android&rcm=ACoAACCqbpwB2LUSVBNZ_LheuWXG-UHfgg0V2Dc

🔗Stay connected with us https://linktr.ee/nyberman