Training materials
Include disabled: true
and Scientific topics: Probabilistic graphical model
and Keywords: Artificial intelligence
1 material found
- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Probabilistic graphical model
- Active learning5
- Ensembl learning5
- Kernel methods5
- Knowledge representation5
- Machine learning5
- Neural networks5
- Recommender system5
- Reinforcement learning5
- Supervised learning5
- Unsupervised learning5
- Python2
- Python program2
- Python script2
- py2
- Antimicrobial stewardship1
- Bayesian methods1
- Biostatistics1
- Chromosome walking1
- Clone verification1
- DNA-Seq1
- DNase-Seq1
- Descriptive statistics1
- Exomes1
- Gaussian processes1
- Genome annotation1
- Genomes1
- Genomics1
- High throughput sequencing1
- High-throughput sequencing1
- Inferential statistics1
- Markov processes1
- Medical microbiology1
- Microbial genetics1
- Microbial physiology1
- Microbial surveillance1
- Microbiological surveillance1
- Microbiology1
- Molecular infection biology1
- Molecular microbiology1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- Network1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Pathway1
- Pathway or network1
- Personal genomics1
- Primer walking1
- Probability1
- Sanger sequencing1
- Sequencing1
- Statistics1
- Statistics and probability1
- Synthetic genomics1
- Targeted next-generation sequencing panels1
- Viral genomics1
- Whole genomes1
- Show N_FILTERS more
-
-
-
Content provider
- Elixir TeSS1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Contributor
- Neuromatch Academy1
- Show N_FILTERS more
-
- Show materials from all spaces
- Hide disabled materials
- Show materials with broken links
- Show archived materials
