Buttons to navigate between all lectures

lectures/Density Estimation.jl

@@ -1816,6 +1816,12 @@ where we get ``\lambda`` from the constraint
 
 """
 
+# ╔═╡ c3a886ee-4a10-485c-8b4c-2c205ed87cfb
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Factor%20Graphs.html",
+	"https://bmlip.github.io/course/lectures/Regression.html",
+)
+
 # ╔═╡ f78bc1f5-cf7b-493f-9c5c-c2fbd6788616
 md"""
 # Code
@@ -1879,7 +1885,7 @@ SpecialFunctions = "~2.8.0"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "ca090de1f994feb02c2134a2580b745a22666ee8"
 
@@ -1989,7 +1995,7 @@ version = "1.0.2"
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.ConcurrentUtilities]]
 deps = ["Serialization", "Sockets"]
@@ -2498,7 +2504,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]
@@ -3313,6 +3319,7 @@ version = "1.13.0+0"
 # ╟─d66ab614-f672-490f-896c-565b70a21e48
 # ╟─bd4b4266-82c4-4355-afba-302d39f7c30b
 # ╟─bc16a308-c04e-4416-9a62-c741bc4e9911
+# ╟─c3a886ee-4a10-485c-8b4c-2c205ed87cfb
 # ╟─f78bc1f5-cf7b-493f-9c5c-c2fbd6788616
 # ╟─026da6b9-dee1-485e-af00-3b9e35f71b6b
 # ╠═6ffabd68-4c38-4024-a21b-1d6fa7c3a6d7

lectures/Discriminative Classification.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.28
+# v1.0.3
 
 #> [frontmatter]
 #> image = "https://github.com/bmlip/course/blob/v2/assets/figures/Figure4.9.png?raw=true"
@@ -673,6 +673,12 @@ Setting ``\exp(w^T x) \overset{!}{=} 1``, leads to
 for the discrimination boundary, which is a line. 
 		""")
 
+# ╔═╡ 0e713a7c-f4fa-4b86-abb3-26520e24d989
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Generative%20Classification.html",
+	"https://bmlip.github.io/course/lectures/Latent%20Variable%20Models%20and%20VB.html",
+)
+
 # ╔═╡ 6eee35ee-fd55-498f-9441-f18c2508de19
 md"""
 # Code
@@ -864,7 +870,7 @@ StatsFuns = "~1.5.2"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "d42eedebdcb2dd59ea859dc90c68d5b35ff9f88c"
 
@@ -1076,7 +1082,7 @@ version = "0.3.1"
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.CompositeTypes]]
 git-tree-sha1 = "bce26c3dab336582805503bed209faab1c279768"
@@ -1763,7 +1769,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]
@@ -2559,6 +2565,7 @@ version = "1.13.0+0"
 # ╟─a00c545c-2274-4086-94ca-319d1436fa26
 # ╟─b94644f8-725d-49bf-9641-3dad8b647f45
 # ╟─9554ed0b-69dd-443c-9538-03a4117eeb78
+# ╟─0e713a7c-f4fa-4b86-abb3-26520e24d989
 # ╟─6eee35ee-fd55-498f-9441-f18c2508de19
 # ╠═e379cc2a-43f8-432f-84fc-a88fd4f3ad0a
 # ╠═a759653c-0da4-40b7-9e9e-1e3d2e4df4ea

lectures/Dynamic Models.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.28
+# v1.0.3
 
 #> [frontmatter]
 #> image = "https://github.com/bmlip/course/blob/v2/assets/figures/Faragher-2012-cart-1.png?raw=true"
@@ -770,6 +770,12 @@ Using the methods of the previous lessons, it is possible to create your own new
 
 """
 
+# ╔═╡ 226e0d55-31ad-4ec5-a6c9-2a722cf2cc89
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Latent%20Variable%20Models%20and%20VB.html",
+	"https://bmlip.github.io/course/lectures/Intelligent%20Agents%20and%20Active%20Inference.html",
+)
+
 # ╔═╡ f44e0303-dd28-48ad-9de2-7f7882f3923d
 md"""
 # Code
@@ -972,7 +978,7 @@ StatsPlots = "~0.15.8"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "acdec6f444da009c65e4bbe38c566cbf0b1a8591"
 
@@ -1305,7 +1311,7 @@ weakdeps = ["Dates", "LinearAlgebra"]
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.CompositeTypes]]
 git-tree-sha1 = "bce26c3dab336582805503bed209faab1c279768"
@@ -2504,7 +2510,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]
@@ -3660,6 +3666,7 @@ version = "1.13.0+0"
 # ╟─0c65804b-bd3f-40b7-9752-96f730dbdc96
 # ╟─272b07f8-d294-11ef-3bfe-bffd9e3623aa
 # ╟─272b17b6-d294-11ef-1e58-a75484ab56d9
+# ╟─226e0d55-31ad-4ec5-a6c9-2a722cf2cc89
 # ╟─f44e0303-dd28-48ad-9de2-7f7882f3923d
 # ╠═e66b2193-87c8-4645-bfcc-643ee006383a
 # ╠═f2a42c4d-9607-4f50-bbda-9a9a4942faab

lectures/Factor Graphs.jl

@@ -1138,7 +1138,7 @@ Text("Manual result: p(x|y1,y2) = \n\t𝒩($(m), $(v))")
 # ╔═╡ ef2727ca-f084-4c5c-a055-b2a5dba282a9
 navigate_prev_next(
 	"https://bmlip.github.io/course/lectures/Bayesian%20Machine%20Learning.html",
-	"https://bmlip.github.io/course/lectures/The%20Gaussian%20Distribution.html"
+	"https://bmlip.github.io/course/lectures/Density%20Estimation.html"
 )
 
 # ╔═╡ 89da2fc0-a7c8-4a9d-82d9-622a311d010d

lectures/Generative Classification.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.28
+# v1.0.3
 
 #> [frontmatter]
 #> image = "https://imgur.com/TGISnuj.png"
@@ -644,6 +644,12 @@ Substituting this into the right-most form of (4.57) we obtain (4.65), with ``w`
 
 """)
 
+# ╔═╡ a42ec280-a88a-485b-9f34-219b370e5784
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Regression.html",
+	"https://bmlip.github.io/course/lectures/Discriminative%20Classification.html",
+)
+
 # ╔═╡ e65e0e33-3e4f-4765-84ea-a4fb5d43269e
 md"""
 # Code
@@ -864,7 +870,7 @@ Plots = "~1.41.6"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "6d1799f252855be0f18fc1ca832f8f19cdc722a4"
 
@@ -969,7 +975,7 @@ version = "1.0.2"
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.ConcurrentUtilities]]
 deps = ["Serialization", "Sockets"]
@@ -1477,7 +1483,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]
@@ -2237,6 +2243,7 @@ version = "1.13.0+0"
 # ╟─66172ab6-7df8-4068-a748-b33b3f345d6d
 # ╟─7e5213d6-4a68-4843-ab4c-77ea3ed8b0cd
 # ╟─ef1e5885-7153-4b55-9f97-1e984c2504e6
+# ╟─a42ec280-a88a-485b-9f34-219b370e5784
 # ╟─e65e0e33-3e4f-4765-84ea-a4fb5d43269e
 # ╠═f1a40378-a27c-4aa0-a62c-600ffde0032f
 # ╠═6631c0e4-4941-442e-8dd4-fa307ee7a8c0

lectures/Intelligent Agents and Active Inference.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.28
+# v1.0.3
 
 #> [frontmatter]
 #> image = "https://imgur.com/FlRMz2f.png"
@@ -628,6 +628,12 @@ The challenge is computational efficiency: the human brain runs on about 20 [W],
 
 """
 
+# ╔═╡ e2f92fdc-2503-4b56-835b-f5e4b41f8880
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Dynamic%20Models.html",
+	nothing,
+)
+
 # ╔═╡ be0dc5c0-6340-4d47-85ae-d70e06df1676
 md"""
 # Code
@@ -648,7 +654,7 @@ RxInfer = "~5.5.0"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "0cc3b732cf0faa744007c541dcc521f80d7301ef"
 
@@ -846,7 +852,7 @@ version = "1.1.0"
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.CompositeTypes]]
 git-tree-sha1 = "bce26c3dab336582805503bed209faab1c279768"
@@ -1490,7 +1496,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]
@@ -1982,6 +1988,7 @@ version = "17.7.0+0"
 # ╟─54cc2500-f06f-4f39-95f3-8d9d09c37234
 # ╟─b900b7d4-3a49-4651-a94b-74fdbbf094d9
 # ╟─cd2dafbe-5131-4ee0-8eb7-33bd04f3133f
+# ╟─e2f92fdc-2503-4b56-835b-f5e4b41f8880
 # ╟─be0dc5c0-6340-4d47-85ae-d70e06df1676
 # ╠═97a0384a-0596-4714-a3fc-bf422aed4474
 # ╟─00000000-0000-0000-0000-000000000001

lectures/Latent Variable Models and VB.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.28
+# v1.0.3
 
 #> [frontmatter]
 #> image = "https://imgur.com/oS96z4w.png"
@@ -1268,6 +1268,12 @@ For a more complete overview of message passing as Bethe Free Energy minimizatio
 
 """
 
+# ╔═╡ c563de07-0036-4dc4-87ee-e8363e9b6b1b
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Discriminative%20Classification.html",
+	"https://bmlip.github.io/course/lectures/Dynamic%20Models.html",
+)
+
 # ╔═╡ 55570464-89c8-4d9b-b667-dfa64ac62294
 md"""
 # Code
@@ -1879,7 +1885,7 @@ StatsPlots = "~0.15.8"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "159b1696530cceecbdb05c365898389ccdadac5b"
 
@@ -2041,7 +2047,7 @@ weakdeps = ["Dates", "LinearAlgebra"]
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.ConcurrentUtilities]]
 deps = ["Serialization", "Sockets"]
@@ -2627,7 +2633,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]
@@ -3482,6 +3488,7 @@ version = "1.13.0+0"
 # ╟─90fbe618-fc81-480b-b685-69cd97e5b8ed
 # ╟─32f0bbb4-dfc7-431e-9a3d-80162439edac
 # ╟─26c9121e-d294-11ef-18e6-ed8105503adc
+# ╟─c563de07-0036-4dc4-87ee-e8363e9b6b1b
 # ╟─55570464-89c8-4d9b-b667-dfa64ac62294
 # ╠═df171940-eb54-48e2-a2b8-1a8162cabf3e
 # ╠═c90176ea-918b-4643-a10f-cef277c5ea75

lectures/Regression.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.28
+# v1.0.3
 
 #> [frontmatter]
 #> image = "https://i.imgur.com/azbCpRW.png"
@@ -797,10 +797,10 @@ Set derivative to zero for MAP estimate leads to
 """)
 
 # ╔═╡ 234f7254-d294-11ef-316a-05ef2edb9699
-md"""
-# Optional Slides
-
-"""
+navigate_prev_next(
+	"https://bmlip.github.io/course/lectures/Density%20Estimation.html",
+	"https://bmlip.github.io/course/lectures/Generative%20Classification.html",
+)
 
 # ╔═╡ c6532830-3161-4b2a-97c4-6d27d24762c9
 md"""
@@ -918,7 +918,7 @@ Plots = "~1.41.6"
 PLUTO_MANIFEST_TOML_CONTENTS = """
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.12.6"
+julia_version = "1.12.7"
 manifest_format = "2.0"
 project_hash = "75acce8c3101551433a277462cda30e8e96cbc11"
 
@@ -1009,7 +1009,7 @@ version = "0.13.1"
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
-version = "1.3.0+1"
+version = "1.3.1+2"
 
 [[deps.ConcurrentUtilities]]
 deps = ["Serialization", "Sockets"]
@@ -1511,7 +1511,7 @@ version = "1.6.1"
 [[deps.OpenSSL_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "3.5.4+0"
+version = "3.5.6+0"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl"]